{"notebook_content":"\n\n\n\n\nNotebook\n\n\n\n\n\n\n\n\n\n\n\n\n
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Single scattering albdeo (SSA)\u00b6

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The single scattering albedo (SSA) represents the ratio of scattering efficiency to total light extinction at a specific wavelength for a particular aerosol particle. The parameter plays a crucial role in determining the aerosol radiative effect.

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SSA is calculated using the following equation:

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$\\omega _0 = \\frac{\\sigma _S}{\\sigma _S + \\sigma _A} $

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Here, $\\sigma _S$ and $\\sigma _A$ correspond to the scattering and absoprtion coefficients, respectively. The ratio can take on values between 0 and 1. Where $\\omega _0 = 1$ means the particle only scatters light, and $\\omega _0=0$ indicates that the particle only absorbs light.

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The aerosol light absorption coefficient is measured using a filter absorption photometer, such as AE33, MAAP, CLAP, and similar devices. Meanwhile, the aerosol light scattering coefficient is measured with a nephelometer. It is important to note that these instruments can measure at multiple wavelengths. When determining the single scattering albedo, it is necessary to work with coefficients measured at the same wavelength. In the following examples, it will be demonstrated how to calculate the SSA using coefficients obtained at the same wavelength. Additionally, it will show how to derive the SSA when the data is measured at different wavelengths.

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References

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NASA. (2015). Science of Deep Blue. Retrieved from https://earth.gsfc.nasa.gov/climate/data/deep-blue/science

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Finding datasets\u00b6

You can search in the EBAS thredds catalog for datasets as shown below. For determining the SSA please note that you want two datasets, using nephelometer and filter absoprtion photometer, from the same station. You must also check to see that the measurements are for the same aerosol particle size, and that the measurements overlap in time, to make the calculations valid.

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# Importing useful python libraries\nimport xarray as xr \nimport threddsclient\nimport matplotlib.pyplot as plt\nimport pandas as pd\nimport numpy as np \n
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# Get the EBAS thredds catalog\nall_opendap_urls = threddsclient.opendap_urls('https://thredds.nilu.no/thredds/catalog/ebas/catalog.html')\n
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In\u00a0[\u00a0]:
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# Get all nephelometer opendap urls\nfap_opendap_urls = [x for x in all_opendap_urls if 'nephelometer' in x]\nprint('All EBAS nephelometer datasets with opendap protocol: \\n',fap_opendap_urls)\n
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All EBAS nephelometer datasets with opendap protocol: \n ['https://thredds.nilu.no/thredds/dodsC/ebas/ZA0001G.20060101000000.20150916120046.nephelometer..pm10.8y.1h.ZA02L_TSI_3563_CPT_pm10.ZA02L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ZA0001G.20050101000000.20150916115726.nephelometer..pm1.9y.1h.ZA02L_TSI_3563_CPT_pm1.ZA02L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/VN0001R.20140101000000.20190521143237.nephelometer..aerosol.5y.1h.VN01L_Ecotech_Aurora3000_PDI_dry.VN01L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9085R.20031001070000.20181031145000.nephelometer..instrument.7y.1h.US11L_Optec-NGN-2.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9084R.19961002070000.20120222000000.nephelometer..instrument.5y.1h.US11L_Optec-NGN-2_US9048.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9084R.19961001070000.20181031145000.nephelometer..instrument.5y.1h.US11L_Optec-NGN-2.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9083R.20040101000000.20181031145000.nephelometer.temperature.instrument.20mo.1h.US11L_Optec-NGN-2.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9083R.20030101000000.20181031145000.nephelometer..instrument.1y.1h.US11L_Optec-NGN-2.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9083R.20020102050000.20120222000000.nephelometer..instrument.4y.1h.US11L_Optec-NGN-2_US9083.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9083R.20020101060000.20181031145000.nephelometer..instrument.1y.1h.US11L_Optec-NGN-2.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9083R.20020101050000.20181031145000.nephelometer...4y.1h.US11L_Optec-NGN-2.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9082U.20030402050000.20150318110708.nephelometer..instrument.12y.1h.US11L_Optec-NGN-2_US9082.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9082U.20030401000000.20181031145000.nephelometer..instrument.9y.1h.US11L_Optec-NGN-2.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9077R.19930702080000.20120222000000.nephelometer..instrument.8y.1h.US11L_Optec-NGN-2_US9077.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9077R.19930701080000.20181031145000.nephelometer..instrument.8y.1h.US11L_Optec-NGN-2.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9074R.19930702080000.20120222000000.nephelometer..instrument.8y.1h.US11L_Optec-NGN-2_US9074.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9074R.19930701080000.20181031145000.nephelometer..instrument.8y.1h.US11L_Optec-NGN-2.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9073R.20040702060000.20120222000000.nephelometer..instrument.3y.1h.US11L_Optec-NGN-2_US9073.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9073R.20040701070000.20181031145000.nephelometer..instrument.3y.1h.US11L_Optec-NGN-2.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9050R.20110101000000.20210204171410.nephelometer..pm10.10y.1h.US09L_TSI_3563_SPL_pm10.US09L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9050R.20110101000000.20210204163816.nephelometer..pm1.10y.1h.US09L_TSI_3563_SPL_pm1.US09L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9037R.20000702070000.20120222000000.nephelometer..instrument.5y.1h.US11L_Optec-NGN-2_US9037.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9037R.20000701080000.20181031145000.nephelometer..instrument.5y.1h.US11L_Optec-NGN-2.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9035R.19980702070000.20120222000000.nephelometer..instrument.12y.1h.US11L_Optec-NGN-2_US9035.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9035R.19980701070000.20181031145000.nephelometer..instrument.12y.1h.US11L_Optec-NGN-2.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9034R.19930102060000.20120222000000.nephelometer..instrument.17y.1h.US11L_Optec-NGN-2_US9034.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9034R.19930101060000.20181031145000.nephelometer..instrument.17y.1h.US11L_Optec-NGN-2.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9002R.19931001070000.20181031145000.nephelometer..instrument.4y.1h.US11L_Optec-NGN-2.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9000R.20080102080000.20180601000000.nephelometer..instrument.10y.1h.US11L_Optec-NGN-2_RockyMountain.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9000R.20080102070000.20150318110936.nephelometer..instrument.7y.1h.US11L_Optec-NGN-2_US9005.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US9000R.20080101000000.20181031145000.nephelometer..instrument.5y.1h.US11L_Optec-NGN-2.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US6005G.20020410000600.20190530000000.nephelometer..pm10_humidified.4y.1h.US06L_TSI_3563_THD_ref+TSI_3563_THD_wet_pm10.US06L_hygro_tandem_neph_CorrData.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US6005G.20020410000300.20190530000000.nephelometer..pm1_humidified.4y.1h.US06L_TSI_3563_THD_ref+TSI_3563_THD_wet_pm1.US06L_hygro_tandem_neph_CorrData.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US6005G.20020101000000.20200306142031.nephelometer..pm10.16y.1h.US06L_TSI_3563_THD_pm10.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US6005G.20020101000000.20200306140231.nephelometer..pm1.16y.1h.US06L_TSI_3563_THD_pm1.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US6004G.20021207030000.20240119123101.nephelometer...21y.1h.US06L_TSI_3563_SPO.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US6004G.19790101000000.20200414094540.nephelometer.aerosol_light_scattering_coefficient.aerosol.24y.1h.US06L_MRI_4-W_SPO.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US6002C.20130101000000.20160901092404.nephelometer..pm10.1y.1h.US06L_TSI_3563_SGP__pm10.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US6002C.20090101000000.20161111100523.nephelometer..instrument.4y.1h.US06L_TSI_3563_SGP.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US6002C.20030101000000.20181031145000.nephelometer..pm10.1y.1h.US06L_TSI_3563_SGP.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US6002C.20030101000000.20150226123530.nephelometer..pm10.1y.1h.US06L_TSI_3563_SGP.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US6002C.19990315203700.20190509000000.nephelometer..pm10_humidified.18y.1h.US06L_TSI_3563_SGP_ref+TSI_3563_SGP_wet_pm10.US06L_hygro_tandem_neph_CorrData.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US6002C.19990101000000.20190208100731.nephelometer..pm1.19y.1h.US06L_TSI_3563_SGP_pm1.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US6002C.19981219000000.20190509000000.nephelometer..pm1_humidified.18y.1h.US06L_TSI_3563_SGP_ref+TSI_3563_SGP_wet_pm1.US06L_hygro_tandem_neph_CorrData.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US6002C.19970101000000.20181031145000.nephelometer...12y.1h.US06L_TSI_3563_SGP.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US6002C.19960101000000.20190212135246.nephelometer..pm10.22y.1h.US06L_TSI_3563_SGP_pm10.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US6001R.19770101000000.20200305085737.nephelometer.aerosol_light_scattering_coefficient.aerosol.15y.1h.US06L_MRI_4-W_SMO.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US5501R.19980402040000.20120222000000.nephelometer..instrument.8y.1h.US11L_Optec-NGN-2_US5501.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US5501R.19980401040000.20181031145000.nephelometer..instrument.8y.1h.US11L_Optec-NGN-2.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US4999R.19930102090000.20150318102606.nephelometer..instrument.22y.1h.US11L_Optec-NGN-2_US4999.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US4999R.19930102060000.20180601000000.nephelometer..instrument.25y.1h.US11L_Optec-NGN-2_MountRanier.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US4828R.19970102000000.20160620131434.nephelometer..instrument.18y.1h.US11L_Optec-NGN-2_US4828.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US4828R.19960702050000.20180601000000.nephelometer..instrument.21y.1h.US11L_Optec-NGN-2_Shenandoah.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US4828R.19960702050000.20150318111201.nephelometer..instrument.6mo.1h.US11L_Optec-NGN-2.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US4504R.19990101000000.20181031145000.nephelometer..instrument.12y.1h.US11L_Optec-NGN-2.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US4504R.19980102060000.20180601123545.nephelometer..instrument.20y.1h.US11L_Optec-NGN-2_BIGBEND.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US4504R.19980102060000.20160621112551.nephelometer..instrument.17y.1h.US11L_Optec-NGN-2_US4504.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US3446C.20120509144700.20190430000000.nephelometer..pm1_humidified.5y.1h.US10L_TSI_3563_APP_ref+TSI_3563_APP_wet_pm1.US10L_hygro_tandem_neph_CorrData.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US3446C.20120509143200.20190430000000.nephelometer..pm10_humidified.5y.1h.US10L_TSI_3563_APP_ref+TSI_3563_APP_wet_pm10.US10L_hygro_tandem_neph_CorrData.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US3446C.20090101000000.20220126210537.nephelometer...13y.1h.US10L_TSI_3563_APP_pm10.US10L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US3446C.20090101000000.20220126210344.nephelometer...13y.1h.US10L_TSI_3563_APP_pm1.US10L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US3201R.19940401070000.20181031145000.nephelometer..instrument.7y.1h.US11L_Optec-NGN-2.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US2905R.20080102080000.20180601000000.nephelometer..instrument.10y.1h.US11L_Optec-NGN-2_GreatBasin.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US2905R.20071002070000.20150318101153.nephelometer..instrument.7y.1h.US11L_Optec-NGN-2_US2905.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US2705R.20071001000000.20181031145000.nephelometer..instrument.5y.1h.US11L_Optec-NGN-2.US11L_IMPROVE_nephelometer_2004.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US2705R.20071001000000.20121130144907.nephelometer..instrument.5y.1h.US11L_Optech-NGN-2.US11L_IMPROVE_nephelometer_2004.lev2.nc', 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'https://thredds.nilu.no/thredds/dodsC/ebas/ES1778R.20170101000000.20210608152435.nephelometer...4y.1h.ES05L_Ecotech_Aurora3000_MSY.ES05L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ES1778R.20160101000000.20170426000000.nephelometer..pm10.1y.1h.ES05L_Ecotech_AURORA3000_MSY_dry.ES05L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ES1778R.20150101000000.20160707000000.nephelometer..pm10.1y.1h.ES05L_Ecotech_Aurora_3000.ES05L_neph_control_lev2.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ES1778R.20140101000000.20160922082832.nephelometer..pm10.1y.1h.ES05L_Ecotech_Aurora_3000.ES05L_neph_control_lev2.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ES1778R.20100101000000.20200305154217.nephelometer..pm10.4y.1h.ES05L_Ecotech_Aurora_MSY.ES05L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ES0100R.20120101000000.20240219102954.nephelometer...12y.1h.ES06L_TSI_3563_ARN_pm10.ES06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ES0100R.20120101000000.20240219102519.nephelometer...12y.1h.ES06L_TSI_3563_ARN_pm1.ES06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ES0100R.20090101000000.20240219102954.nephelometer...3y.1h.ES06L_TSI_3563_ARN_pm10.ES06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ES0100R.20090101000000.20200210211824.nephelometer...3y.1h.ES06L_TSI_3563_ARN_pm1.ES06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ES0100R.20080101000000.20240219102954.nephelometer...1y.1h.ES06L_TSI_3563_ARN_pm10.ES06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ES0100R.20080101000000.20200210211824.nephelometer...1y.1h.ES06L_TSI_3563_ARN_pm1.ES06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ES0100R.20050101000000.20200210205617.nephelometer..aerosol.4y.1h.ES06L_TSI_3563_ARN.ES06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ES0022R.20170101000000.20221014081342.nephelometer...5y.1h.ES05L_Ecotech_Aurora3000_MSA_aerosol.ES05L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ES0022R.20160101000000.20170502000000.nephelometer..pm10.1y.1h.ES05L_Ecotech_AURORA3000_MSA_dry.ES05L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ES0022R.20150101000000.20160707000000.nephelometer..pm10.1y.1h.ES05L_Ecotech_Aurora_3000_MSA.ES05L_neph_control_lev2.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ES0022R.20130101000000.20200217134635.nephelometer..pm10.2y.1h.ES05L_Ecotech_Aurora3000_MSA_pm10.ES05L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ES0021U.20210101000000.20230601080656.nephelometer..pm10.1y.1h.ES09L_Aurora_3000_CIEMAT.ES09L_scat_coef_Aurora3000_ciemat.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ES0021U.20201005000000.20230530120000.nephelometer...27mo.1h.ES09L_Aurora_3000_CIEMAT.ES09L_scat_coef_Aurora3000_ciemat.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ES0021U.20200312100000.20220505133513.nephelometer.aerosol_light_scattering_coefficient.pm10.7mo.1h.ES09L_Aurora_3000_CIEMAT.ES09L_scat_coef_Aurora3000_ciemat.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ES0021U.20200312100000.20220505133513.nephelometer...7mo.1h.ES09L_Aurora_3000_CIEMAT.ES09L_scat_coef_Aurora3000_ciemat.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ES0020U.20140101010000.20190510000000.nephelometer..aerosol_humidified.27mo.1h.ES08L_TSI_3563_UGR_ref+TSI_3563_UGR_wet.ES08L_hygro_tandem_neph_CorrData.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ES0020U.20060101000000.20240107063224.nephelometer...18y.1h.ES08L_TSI_3563_UGR.ES08L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ES0018G.20200101000000.20230227161013.nephelometer...3y.1h.ES07L_TSI_3563_SN70738230-PM10amb.ES07L_sct_coef_PM10amb_TSI3562_v1_1.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ES0018G.20090101000000.20230227161013.nephelometer...11y.1h.ES07L_TSI_3563_SN70738230-PM10amb.ES07L_sct_coef_PM10amb_TSI3562_v1.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/ES0018G.20080101000000.20230227161013.nephelometer...9y.1h.ES07L_TSI_3563_SN70738230-PM10amb.ES07L_sct_coef_PM10amb_TSI3562_v1.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/DK0025G.20110101000000.20230109115808.nephelometer...12y.1h.US06L_TSI_3563_SUM.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/DE0060G.20130101000000.20240119151842.nephelometer...11y.1h.DE15L_TSI_3563_NMY_dry.DE15L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/DE0060G.20010101000000.20161212114517.nephelometer...12y.1h.DE15L_TSI_3563_NMY_dry.DE15L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/DE0054R.20100101000000.20240219091901.nephelometer...14y.1h.DE08L_TSI_3563_ZSF.DE08L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/DE0044R.20160101000000.20230525000000.nephelometer...7y.1h.DE08L_TSI_3563_MEL_dry.DE08L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/DE0044R.20140601000000.20170314101143.nephelometer..pm10.19mo.1h.DE08L_TSI_3563_Melpitz.DE08L_TROPOS_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/DE0044R.20120101000000.20160706121035.nephelometer..pm10.30mo.1h.DE08L_TSI_3563_DE08.DE08L_TROPOS_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/DE0044R.20110101000000.20160706112221.nephelometer..aerosol.1y.1h.DE08L_TSI_3563_DE08.DE08L_TROPOS_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/DE0044R.20100101000000.20181031145000.nephelometer..aerosol.1y.1h.DE08L_TSI3563_sernum_1025.DE08L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/DE0044R.20090223132007.20181214000000.nephelometer..pm10_humidified.5w.3h.CH02L_TSI_3563_MEL_ref+TSI_3563_MEL_wet.CH02L_hygro_tandem_neph_CorrData.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/DE0044R.20070215150000.20181031145000.nephelometer..aerosol.3y.1h.DE08L_TSI3563_sernum_1027_and_1025.DE08L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/DE0044R.20070101000000.20181031145000.nephelometer..aerosol.46d.1h.DE08L_TSI3561_sernum_1035.DE08L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/DE0043G.20170101000000.20230521143356.nephelometer...6y.1h.DE09L_TSI_Neph_3563.DE09L_GAW_MOHP.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/DE0043G.20100201000000.20170721000000.nephelometer...7y.1h.DE09L_TSI_Neph_3563.DE09L_scatt_NEPH.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/DE0043G.20060101000000.20160708144500.nephelometer..aerosol.4y.1h.DE09L_tsi_neph_3563_aerosol.DE09L_nephelometer.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CZ0003R.20200101000000.20230516154943.nephelometer...3y.1h.CZ06L_Aurora3000_KOS.CZ06L_scat_coef_Aurora3000.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CZ0003R.20160101000000.20200124000000.nephelometer..pm10.4y.1h.CZ06L_TSI_3563_KOS_dry.CZ06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CZ0003R.20130101000000.20160526101917.nephelometer..pm10.2y.1h.CZ06L_TSI_3563_pm10.CZ06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CZ0003R.20120815130000.20160703145000.nephelometer..pm10.3y.1h.CZ06L_TSI_3563.CZ06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CY0002R.20150202000000.20200110000000.nephelometer...3y.1h.CY05L_TSI_Neph_CAO.CY05L_scat_coef_ambient.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CL0001R.20130429000000.20210613134541.nephelometer...7y.1h.CL01L_Ecotech_Aurora3000_TLL_dry.CL01L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CH0001G.20150101000000.20230601084150.nephelometer...8y.1h.CH02L_TSI_3563_JFJ_dry.CH02L_Neph_3563.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CH0001G.20150101000000.20200604151959.nephelometer..aerosol.5y.1h.CH02L_Ecotech_Aurora3000_JFJ_dry.CH02L_Neph_Aurora3000.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CH0001G.20140101000000.20230601084150.nephelometer...1y.1h.CH02L_TSI_3563_JFJ_dry.CH02L_Neph_3563.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CH0001G.20100616230450.20181219000000.nephelometer..aerosol_humidified.7mo.3h.CH02L_TSI_3563_JFJ_ref+TSI_3563_JFJ_wet.CH02L_hygro_tandem_neph_CorrData.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CH0001G.20010101000000.20230601084150.nephelometer...13y.1h.CH02L_TSI_3563_JFJ_dry.CH02L_Neph_3563.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CH0001G.20010101000000.20230601084150.nephelometer...12y.1h.CH02L_TSI_3563_JFJ_dry.CH02L_Neph_3563_may2013.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CH0001G.19950101000000.20181031145000.nephelometer..aerosol.6y.1h.CH02L_IN3563.CH02L_backscat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CA0420G.20050101000000.20240124224014.nephelometer...18y.1h.CA01L_TSI_3563_ALT_pm1.CA01L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CA0420G.20040101000000.20240124224014.nephelometer...19y.1h.CA01L_TSI_3563_ALT_pm10.CA01L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CA0102R.20120101000000.20210503230016.nephelometer...1y.1h.CA01L_TSI_3563_ETL_pm10.CA01L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CA0102R.20080101000000.20240124225510.nephelometer...15y.1h.CA01L_TSI_3563_ETL_pm1.CA01L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CA0102R.20080101000000.20210414162135.nephelometer..pm25.1y.1h.CA01L_TSI_3563_ETL_pm25.CA01L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CA0101R.20000101000000.20190523134435.nephelometer.aerosol_light_scattering_coefficient.pm1.1y.1h.US06L_TSI_3563_WSA_pm1.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CA0101R.20000101000000.20190523134343.nephelometer.aerosol_light_scattering_coefficient.pm10.1y.1h.US06L_TSI_3563_WSA_pm10.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CA0101R.19950101000000.20190523134435.nephelometer..pm1.5y.1h.US06L_TSI_3563_WSA_pm1.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CA0101R.19950101000000.20190523134343.nephelometer..pm10.5y.1h.US06L_TSI_3563_WSA_pm10.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CA0101R.19941116000000.20190523134435.nephelometer..pm1.46d.1h.US06L_TSI_3563_WSA_pm1.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CA0101R.19941116000000.20190523134343.nephelometer..pm10.46d.1h.US06L_TSI_3563_WSA_pm10.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CA0101R.19920815000000.20190409083356.nephelometer.aerosol_light_scattering_coefficient.pm1.27mo.1h.US06L_MsE_3W-02_WSA_pm1.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CA0101R.19920815000000.20190409083228.nephelometer.aerosol_light_scattering_coefficient.pm10.27mo.1h.US06L_MsE_3W-02_WSA_pm10.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CA0100R.20130101000000.20240327222149.nephelometer...6y.1h.CA01L_TSI_3563_WHI_pm1.CA01L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CA0100R.20100101000000.20240129232249.nephelometer...3y.1h.CA01L_TSI_3563_WHI_pm1.CA01L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CA0100R.20080101000000.20170316141601.nephelometer..pm10.5y.1h.CA01L_TSI_3563_WHI_pm10.CA01L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CA0098R.20040703002959.20181218000000.nephelometer..pm10_humidified.44d.1h.US06L_TSI_3563_CBG_ref+TSI_3563_CBG_wet_pm10.US06L_hygro_tandem_neph_CorrData.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CA0098R.20040703000659.20181219000000.nephelometer..pm1_humidified.44d.1h.US06L_TSI_3563_CBG_ref+TSI_3563_CBG_wet_pm1.US06L_hygro_tandem_neph_CorrData.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CA0011R.20090101000000.20240215101445.nephelometer...14y.1h.CA01L_TSI_3563_EGB_pm1.CA01L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/CA0011R.20090101000000.20181031145000.nephelometer..pm10.1y.1h.CA01L_TSI_3563_EGB.CA01L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/BO0001R.20200101000000.20220419133510.nephelometer...2y.1h.BO01L_nephelometer_Ecotech_Aurora3000.BO01L_Ecotech_Aurora3000_CHC.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/BO0001R.20160101000000.20220419133510.nephelometer...4y.1h.BO01L_nephelometer_Ecotech_Aurora3000.BO01L_Ecotech_Aurora3000_CHC.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/BO0001R.20120101000000.20161123124831.nephelometer..pm10.4y.1h.BO01L_Ecotech_Aurora3000_CHC_ambient.BO01L_nephelometer_Ecotech_Aurora3000_lev2.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/BG0001R.20070101000000.20210606203652.nephelometer...13y.1h.BG02L_TSI_3563_BEO.BG02L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/AU0002G.20160101000000.20180101000000.nephelometer.aerosol_light_scattering_coefficient.pm1.2y.1h.AU01L_MAAP-CG_pm1.AU01L_coef_Neph_v1.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/AU0002G.20110101000000.20160101000000.nephelometer.aerosol_light_scattering_coefficient.pm1.5y.1h.AU01L_neph-CG.AU01L_coef_Neph_v1.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/AT0034G.20160101000000.20230228082901.nephelometer...7y.1h.AT04L_Ecotech_Aurora_4000.AT04L_neph_control_lev2_0_0_1.lev2.nc']\n
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# Search for instance for a wanted station\nstat_opendap_urls = [x for x in fap_opendap_urls if \"US0035R\" in x]\nprint(\"All EBAS nephelometer datasets at station US0035R with opendap protocol: \\n\", stat_opendap_urls)\n
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All EBAS nephelometer datasets at station US0035R with opendap protocol: \n ['https://thredds.nilu.no/thredds/dodsC/ebas/US0035R.20000101000000.20240122174838.nephelometer...24y.1h.US06L_TSI_3563_BND_pm10.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US0035R.20000101000000.20240122173550.nephelometer...24y.1h.US06L_TSI_3563_BND_pm1.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US0035R.19970101000000.20240122174838.nephelometer..pm10.3y.1h.US06L_TSI_3563_BND_pm10.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US0035R.19970101000000.20240122173550.nephelometer..pm1.3y.1h.US06L_TSI_3563_BND_pm1.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US0035R.19960101000000.20240122174838.nephelometer...1y.1h.US06L_TSI_3563_BND_pm10.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US0035R.19960101000000.20240122173550.nephelometer...1y.1h.US06L_TSI_3563_BND_pm1.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US0035R.19940101000000.20200223130939.nephelometer.aerosol_light_scattering_coefficient.pm10.2y.1h.US06L_MRI_1550_BND_pm10.US06L_scat_coef.lev2.nc', 'https://thredds.nilu.no/thredds/dodsC/ebas/US0035R.19940101000000.20200223130614.nephelometer.aerosol_light_scattering_coefficient.pm1.2y.1h.US06L_MRI_1550_BND_pm1.US06L_scat_coef.lev2.nc']\n
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In\u00a0[\u00a0]:
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# Choosing a dataset, nephelometer\nopendap_url = stat_opendap_urls[4]  \nopendap_url\n
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Out[\u00a0]:
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'https://thredds.nilu.no/thredds/dodsC/ebas/US0035R.19960101000000.20240122174838.nephelometer...1y.1h.US06L_TSI_3563_BND_pm10.US06L_scat_coef.lev2.nc'
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Follow the same steps, search for filter_absorption_photometer at the same station, and choose a dataset corresponding with the timespan as the first.

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In\u00a0[\u00a0]:
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# Filter absorption photometer dataset\nopendap_url1 = \"https://thredds.nilu.no/thredds/dodsC/ebas/US0035R.19960101000000.20200311082648.filter_absorption_photometer.aerosol_absorption_coefficient.pm10.10y.1h.US06L_RadianceResearch_PSAP-1W_BND_pm10.US06L_abs_coef.lev2.nc\"\n
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Example 1\u00b6

In the first example, the datasets we have chosen contains the scattering and absorption coefficients measured at the same wavelength, $\\lambda = 550 nm$.

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Now that we have found our datasets, we want to open them by assigning each to an xarray. The datasets may contain various variables, so it would be useful to extract the ones you are interested in, as demonstrated below.

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In\u00a0[\u00a0]:
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# Opening and showing dataset with xarray\nneph_ds = xr.open_dataset(opendap_url)  # nephelometer dataset\nphot_ds = xr.open_dataset(opendap_url1)  # photometer dataset\n
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In\u00a0[\u00a0]:
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neph_ds\n
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Out[\u00a0]:
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<xarray.Dataset>\nDimensions:                                                         (\n                                                                     time: 8784,\n                                                                     tbnds: 2,\n                                                                     metadata_time: 1,\n                                                                     Location: 1,\n                                                                     pressure_qc_flags: 1,\n                                                                     ...\n                                                                     aerosol_light_backscattering_coefficient_amean_qc_flags: 1,\n                                                                     aerosol_light_backscattering_coefficient_prec1587_qc_flags: 1,\n                                                                     aerosol_light_backscattering_coefficient_perc8413_qc_flags: 1,\n                                                                     aerosol_light_scattering_coefficient_amean_qc_flags: 1,\n                                                                     aerosol_light_scattering_coefficient_prec1587_qc_flags: 1,\n                                                                     aerosol_light_scattering_coefficient_perc8413_qc_flags: 1)\nCoordinates:\n  * time                                                            (time) datetime64[ns] ...\n  * metadata_time                                                   (metadata_time) datetime64[ns] ...\n  * Location                                                        (Location) |S64 ...\n  * Wavelength                                                      (Wavelength) float64 ...\nDimensions without coordinates: tbnds, pressure_qc_flags, temperature_qc_flags,\n                                aerosol_light_backscattering_coefficient_amean_qc_flags,\n                                aerosol_light_backscattering_coefficient_prec1587_qc_flags,\n                                aerosol_light_backscattering_coefficient_perc8413_qc_flags,\n                                aerosol_light_scattering_coefficient_amean_qc_flags,\n                                aerosol_light_scattering_coefficient_prec1587_qc_flags,\n                                aerosol_light_scattering_coefficient_perc8413_qc_flags\nData variables: (12/26)\n    time_bnds                                                       (time, tbnds) datetime64[ns] ...\n    metadata_time_bnds                                              (metadata_time, tbnds) datetime64[ns] ...\n    pressure_qc                                                     (Location, pressure_qc_flags, time) float64 ...\n    pressure_ebasmetadata                                           (Location, metadata_time) |S64 ...\n    temperature_qc                                                  (Location, temperature_qc_flags, time) float64 ...\n    temperature_ebasmetadata                                        (Location, metadata_time) |S64 ...\n    ...                                                              ...\n    aerosol_light_backscattering_coefficient_amean                  (Wavelength, time) float64 ...\n    aerosol_light_backscattering_coefficient_prec1587               (Wavelength, time) float64 ...\n    aerosol_light_backscattering_coefficient_perc8413               (Wavelength, time) float64 ...\n    aerosol_light_scattering_coefficient_amean                      (Wavelength, time) float64 ...\n    aerosol_light_scattering_coefficient_prec1587                   (Wavelength, time) float64 ...\n    aerosol_light_scattering_coefficient_perc8413                   (Wavelength, time) float64 ...\nAttributes: (12/102)\n    Conventions:                       CF-1.8, ACDD-1.3\n    featureType:                       timeSeries\n    title:                             Ground based in situ observations of n...\n    keywords:                          Bondville, US0035R, GAW-WDCA, aerosol_...\n    id:                                US0035R.19960101000000.20240122174838....\n    naming_authority:                  EBAS\n    ...                                ...\n    geospatial_lat_units:              degrees_north\n    geospatial_lon_units:              degrees_east\n    comment:                           {\\n    \"Data definition\": \"EBAS_1.1\",\\...\n    standard_name_vocabulary:          CF-1.7, ACDD-1.3\n    history:                           None\n    creator_url:                       ebas.nilu.no
xarray.Dataset
    • time: 8784
    • tbnds: 2
    • metadata_time: 1
    • Location: 1
    • pressure_qc_flags: 1
    • temperature_qc_flags: 1
    • Wavelength: 3
    • aerosol_light_backscattering_coefficient_amean_qc_flags: 1
    • aerosol_light_backscattering_coefficient_prec1587_qc_flags: 1
    • aerosol_light_backscattering_coefficient_perc8413_qc_flags: 1
    • aerosol_light_scattering_coefficient_amean_qc_flags: 1
    • aerosol_light_scattering_coefficient_prec1587_qc_flags: 1
    • aerosol_light_scattering_coefficient_perc8413_qc_flags: 1
    • time
      (time)
      datetime64[ns]
      1996-01-01T00:30:00 ... 1996-12-...
      standard_name :
      time
      long_name :
      time of measurement
      axis :
      T
      bounds :
      time_bnds
      array(['1996-01-01T00:30:00.000000000', '1996-01-01T01:30:00.000000000',\n       '1996-01-01T02:30:00.000000000', ..., '1996-12-31T21:30:00.000000000',\n       '1996-12-31T22:30:00.000000000', '1996-12-31T23:30:00.000000000'],\n      dtype='datetime64[ns]')
    • metadata_time
      (metadata_time)
      datetime64[ns]
      1996-07-02
      standard_name :
      time
      long_name :
      time of ebas metadata intervals
      axis :
      T
      bounds :
      metadata_time_bnds
      array(['1996-07-02T00:00:00.000000000'], dtype='datetime64[ns]')
    • Location
      (Location)
      |S64
      b'instrument internal'
      array([b'instrument internal'], dtype='|S64')
    • Wavelength
      (Wavelength)
      float64
      450.0 550.0 700.0
      array([450., 550., 700.])
    • time_bnds
      (time, tbnds)
      datetime64[ns]
      ...
      long_name :
      time bounds for measurement
      [17568 values with dtype=datetime64[ns]]
    • metadata_time_bnds
      (metadata_time, tbnds)
      datetime64[ns]
      ...
      long_name :
      time bounds for ebas metadata intervals
      [2 values with dtype=datetime64[ns]]
    • pressure_qc
      (Location, pressure_qc_flags, time)
      float64
      ...
      standard_name :
      status_flag
      units :
      1
      [8784 values with dtype=float64]
    • pressure_ebasmetadata
      (Location, metadata_time)
      |S64
      ...
      long_name :
      ebas metadata for different time intervals; json encoded
      [1 values with dtype=|S64]
    • temperature_qc
      (Location, temperature_qc_flags, time)
      float64
      ...
      standard_name :
      status_flag
      units :
      1
      [8784 values with dtype=float64]
    • temperature_ebasmetadata
      (Location, metadata_time)
      |S64
      ...
      long_name :
      ebas metadata for different time intervals; json encoded
      [1 values with dtype=|S64]
    • aerosol_light_backscattering_coefficient_amean_qc
      (Wavelength, aerosol_light_backscattering_coefficient_amean_qc_flags, time)
      float64
      ...
      standard_name :
      status_flag
      units :
      1
      [26352 values with dtype=float64]
    • aerosol_light_backscattering_coefficient_amean_ebasmetadata
      (Wavelength, metadata_time)
      |S64
      ...
      long_name :
      ebas metadata for different time intervals; json encoded
      [3 values with dtype=|S64]
    • aerosol_light_backscattering_coefficient_prec1587_qc
      (Wavelength, aerosol_light_backscattering_coefficient_prec1587_qc_flags, time)
      float64
      ...
      standard_name :
      status_flag
      units :
      1
      [26352 values with dtype=float64]
    • aerosol_light_backscattering_coefficient_prec1587_ebasmetadata
      (Wavelength, metadata_time)
      |S64
      ...
      long_name :
      ebas metadata for different time intervals; json encoded
      [3 values with dtype=|S64]
    • aerosol_light_backscattering_coefficient_perc8413_qc
      (Wavelength, aerosol_light_backscattering_coefficient_perc8413_qc_flags, time)
      float64
      ...
      standard_name :
      status_flag
      units :
      1
      [26352 values with dtype=float64]
    • aerosol_light_backscattering_coefficient_perc8413_ebasmetadata
      (Wavelength, metadata_time)
      |S64
      ...
      long_name :
      ebas metadata for different time intervals; json encoded
      [3 values with dtype=|S64]
    • aerosol_light_scattering_coefficient_amean_qc
      (Wavelength, aerosol_light_scattering_coefficient_amean_qc_flags, time)
      float64
      ...
      standard_name :
      status_flag
      units :
      1
      [26352 values with dtype=float64]
    • aerosol_light_scattering_coefficient_amean_ebasmetadata
      (Wavelength, metadata_time)
      |S64
      ...
      long_name :
      ebas metadata for different time intervals; json encoded
      [3 values with dtype=|S64]
    • aerosol_light_scattering_coefficient_prec1587_qc
      (Wavelength, aerosol_light_scattering_coefficient_prec1587_qc_flags, time)
      float64
      ...
      standard_name :
      status_flag
      units :
      1
      [26352 values with dtype=float64]
    • aerosol_light_scattering_coefficient_prec1587_ebasmetadata
      (Wavelength, metadata_time)
      |S64
      ...
      long_name :
      ebas metadata for different time intervals; json encoded
      [3 values with dtype=|S64]
    • aerosol_light_scattering_coefficient_perc8413_qc
      (Wavelength, aerosol_light_scattering_coefficient_perc8413_qc_flags, time)
      float64
      ...
      standard_name :
      status_flag
      units :
      1
      [26352 values with dtype=float64]
    • aerosol_light_scattering_coefficient_perc8413_ebasmetadata
      (Wavelength, metadata_time)
      |S64
      ...
      long_name :
      ebas metadata for different time intervals; json encoded
      [3 values with dtype=|S64]
    • pressure
      (Location, time)
      float64
      ...
      units :
      hPa
      ancillary_variables :
      pressure_qc pressure_ebasmetadata
      cell_methods :
      time: mean
      ebas_data_license :
      https://creativecommons.org/licenses/by/4.0/
      ebas_revision_date :
      20200125151440
      ebas_version :
      1
      ebas_version_description :
      Version numbering not tracked, generated by CPD3 EBAS Export v24-107-g015cb29-m run as da.output.upload (26215) run by aerosol on aero2-new.cmdl.noaa.gov via da.output.upload --after=undef --profile=ebas --quiet bnd
      ebas_statistics :
      arithmetic mean
      ebas_data_level :
      2
      ebas_sample_duration :
      1h
      ebas_orig_time_res :
      1mn
      ebas_station_code :
      US0035R
      ebas_platform_code :
      US0035S
      ebas_station_name :
      Bondville
      ebas_station_latitude :
      40.05
      ebas_station_longitude :
      -88.36667
      ebas_station_altitude :
      213.0 m
      ebas_measuremenet_latitude :
      40.049999
      ebas_measurement_longitude :
      -88.366669
      ebas_measurement_altitude :
      213.0 m
      ebas_measurement_height :
      10.0 m
      ebas_regime :
      IMG
      ebas_component :
      pressure
      ebas_unit :
      hPa
      ebas_matrix :
      instrument
      ebas_laboratory_code :
      US06L
      ebas_instrument_type :
      nephelometer
      ebas_instrument_name :
      TSI_3563_BND_pm10
      ebas_instrument_manufacturer :
      TSI
      ebas_instrument_model :
      3563
      ebas_instrument_serial_number :
      1022
      ebas_method_ref :
      US06L_scat_coef
      ebas_standard_method :
      cal-gas=CO2+AIR_truncation-correction=Anderson1998
      ebas_inlet_type :
      Impactor--direct
      ebas_inlet_description :
      Switched impactor at 10 um
      ebas_humidity_temperaure_control :
      Heating to 40% RH, limit 40 deg. C
      ebas_volume_std_temperature :
      273.15 K
      ebas_volume_std_pressure :
      1013.25 hPa
      ebas_zero_negative_values_code :
      Zero/negative possible
      ebas_zero_negative_values :
      Zero and neg. values may appear due to statistical variations at very low concentrations
      ebas_organization :
      US06L, National Oceanic and Atmospheric Administration, NOAA/ESRL/GMD, \"Earth System Research Laboratory, Global Monitoring Division\", 325 Broadway, , CO 80305-3, Boulder, U.S.A.
      ebas_framework_acronym :
      GAW-WDCA, NOAA-ESRL
      ebas_framework_name :
      World Data Centre for Aerosols,
      ebas_framework_description :
      The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme.,
      ebas_framework_contact_name :
      Markus Fiebig, Markus Fiebig
      ebas_framework_contact_email :
      Markus.Fiebig@nilu.no, Markus.Fiebig@nilu.no
      ebas_originator :
      Sheridan, Patrick, Patrick.Sheridan@noaa.gov, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Monitoring Division, NOAA/ESRL/GMD, , 325 Broadway, , 80305, \"Boulder, CO\", USA
      ebas_submitter :
      Sheridan, Patrick, Patrick.Sheridan@noaa.gov, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Monitoring Division, NOAA/ESRL/GMD, , 325 Broadway, , 80305, \"Boulder, CO\", USA
      ebas_acknowledgement :
      Request acknowledgement details from data originator
      ebas_comment :
      Standard Anderson & Ogren 1998 values used for truncation correction
      [8784 values with dtype=float64]
    • temperature
      (Location, time)
      float64
      ...
      units :
      K
      ancillary_variables :
      temperature_qc temperature_ebasmetadata
      cell_methods :
      time: mean
      ebas_data_license :
      https://creativecommons.org/licenses/by/4.0/
      ebas_revision_date :
      20200125151440
      ebas_version :
      1
      ebas_version_description :
      Version numbering not tracked, generated by CPD3 EBAS Export v24-107-g015cb29-m run as da.output.upload (26215) run by aerosol on aero2-new.cmdl.noaa.gov via da.output.upload --after=undef --profile=ebas --quiet bnd
      ebas_statistics :
      arithmetic mean
      ebas_data_level :
      2
      ebas_sample_duration :
      1h
      ebas_orig_time_res :
      1mn
      ebas_station_code :
      US0035R
      ebas_platform_code :
      US0035S
      ebas_station_name :
      Bondville
      ebas_station_latitude :
      40.05
      ebas_station_longitude :
      -88.36667
      ebas_station_altitude :
      213.0 m
      ebas_measuremenet_latitude :
      40.049999
      ebas_measurement_longitude :
      -88.366669
      ebas_measurement_altitude :
      213.0 m
      ebas_measurement_height :
      10.0 m
      ebas_regime :
      IMG
      ebas_component :
      temperature
      ebas_unit :
      K
      ebas_matrix :
      instrument
      ebas_laboratory_code :
      US06L
      ebas_instrument_type :
      nephelometer
      ebas_instrument_name :
      TSI_3563_BND_pm10
      ebas_instrument_manufacturer :
      TSI
      ebas_instrument_model :
      3563
      ebas_instrument_serial_number :
      1022
      ebas_method_ref :
      US06L_scat_coef
      ebas_standard_method :
      cal-gas=CO2+AIR_truncation-correction=Anderson1998
      ebas_inlet_type :
      Impactor--direct
      ebas_inlet_description :
      Switched impactor at 10 um
      ebas_humidity_temperaure_control :
      Heating to 40% RH, limit 40 deg. C
      ebas_volume_std_temperature :
      273.15 K
      ebas_volume_std_pressure :
      1013.25 hPa
      ebas_zero_negative_values_code :
      Zero/negative possible
      ebas_zero_negative_values :
      Zero and neg. values may appear due to statistical variations at very low concentrations
      ebas_organization :
      US06L, National Oceanic and Atmospheric Administration, NOAA/ESRL/GMD, \"Earth System Research Laboratory, Global Monitoring Division\", 325 Broadway, , CO 80305-3, Boulder, U.S.A.
      ebas_framework_acronym :
      GAW-WDCA, NOAA-ESRL
      ebas_framework_name :
      World Data Centre for Aerosols,
      ebas_framework_description :
      The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme.,
      ebas_framework_contact_name :
      Markus Fiebig, Markus Fiebig
      ebas_framework_contact_email :
      Markus.Fiebig@nilu.no, Markus.Fiebig@nilu.no
      ebas_originator :
      Sheridan, Patrick, Patrick.Sheridan@noaa.gov, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Monitoring Division, NOAA/ESRL/GMD, , 325 Broadway, , 80305, \"Boulder, CO\", USA
      ebas_submitter :
      Sheridan, Patrick, Patrick.Sheridan@noaa.gov, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Monitoring Division, NOAA/ESRL/GMD, , 325 Broadway, , 80305, \"Boulder, CO\", USA
      ebas_acknowledgement :
      Request acknowledgement details from data originator
      ebas_comment :
      Standard Anderson & Ogren 1998 values used for truncation correction
      [8784 values with dtype=float64]
    • aerosol_light_backscattering_coefficient_amean
      (Wavelength, time)
      float64
      ...
      units :
      1/Mm
      ancillary_variables :
      aerosol_light_backscattering_coefficient_amean_qc aerosol_light_backscattering_coefficient_amean_ebasmetadata
      cell_methods :
      time: mean
      ebas_data_license :
      https://creativecommons.org/licenses/by/4.0/
      ebas_revision_date :
      20240122174838
      ebas_version :
      1
      ebas_version_description :
      Version numbering not tracked, generated by CPD3 EBAS Export v24-107-g015cb29-m run as da.output.upload (26215) run by aerosol on aero2-new.cmdl.noaa.gov via da.output.upload --after=undef --profile=ebas --quiet bnd
      ebas_statistics :
      arithmetic mean
      ebas_data_level :
      2
      ebas_sample_duration :
      1h
      ebas_orig_time_res :
      1mn
      ebas_station_code :
      US0035R
      ebas_platform_code :
      US0035S
      ebas_station_name :
      Bondville
      ebas_station_latitude :
      40.05
      ebas_station_longitude :
      -88.36667
      ebas_station_altitude :
      213.0 m
      ebas_measuremenet_latitude :
      40.049999
      ebas_measurement_longitude :
      -88.366669
      ebas_measurement_altitude :
      213.0 m
      ebas_measurement_height :
      10.0 m
      ebas_regime :
      IMG
      ebas_component :
      aerosol_light_backscattering_coefficient
      ebas_unit :
      1/Mm
      ebas_matrix :
      pm10
      ebas_laboratory_code :
      US06L
      ebas_instrument_type :
      nephelometer
      ebas_instrument_name :
      TSI_3563_BND_pm10
      ebas_instrument_manufacturer :
      TSI
      ebas_instrument_model :
      3563
      ebas_instrument_serial_number :
      1022
      ebas_method_ref :
      US06L_scat_coef
      ebas_standard_method :
      cal-gas=CO2+AIR_truncation-correction=Anderson1998
      ebas_inlet_type :
      Impactor--direct
      ebas_inlet_description :
      Switched impactor at 10 um
      ebas_humidity_temperaure_control :
      Heating to 40% RH, limit 40 deg. C
      ebas_volume_std_temperature :
      273.15 K
      ebas_volume_std_pressure :
      1013.25 hPa
      ebas_zero_negative_values_code :
      Zero/negative possible
      ebas_zero_negative_values :
      Zero and neg. values may appear due to statistical variations at very low concentrations
      ebas_organization :
      US06L, National Oceanic and Atmospheric Administration, NOAA/ESRL/GMD, \"Earth System Research Laboratory, Global Monitoring Division\", 325 Broadway, , CO 80305-3, Boulder, U.S.A.
      ebas_framework_acronym :
      GAW-WDCA, NOAA-ESRL
      ebas_framework_name :
      World Data Centre for Aerosols,
      ebas_framework_description :
      The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme.,
      ebas_framework_contact_name :
      Markus Fiebig, Markus Fiebig
      ebas_framework_contact_email :
      Markus.Fiebig@nilu.no, Markus.Fiebig@nilu.no
      ebas_originator :
      Sheridan, Patrick, Patrick.Sheridan@noaa.gov, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Monitoring Division, NOAA/ESRL/GMD, , 325 Broadway, , 80305, \"Boulder, CO\", USA
      ebas_submitter :
      Sheridan, Patrick, Patrick.Sheridan@noaa.gov, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Monitoring Division, NOAA/ESRL/GMD, , 325 Broadway, , 80305, \"Boulder, CO\", USA
      ebas_acknowledgement :
      Request acknowledgement details from data originator
      ebas_comment :
      Standard Anderson & Ogren 1998 values used for truncation correction
      [26352 values with dtype=float64]
    • aerosol_light_backscattering_coefficient_prec1587
      (Wavelength, time)
      float64
      ...
      units :
      1/Mm
      ancillary_variables :
      aerosol_light_backscattering_coefficient_prec1587_qc aerosol_light_backscattering_coefficient_prec1587_ebasmetadata
      cell_methods :
      time: percentile:15.87
      ebas_data_license :
      https://creativecommons.org/licenses/by/4.0/
      ebas_revision_date :
      20240122174838
      ebas_version :
      1
      ebas_version_description :
      Version numbering not tracked, generated by CPD3 EBAS Export v24-107-g015cb29-m run as da.output.upload (26215) run by aerosol on aero2-new.cmdl.noaa.gov via da.output.upload --after=undef --profile=ebas --quiet bnd
      ebas_statistics :
      percentile:15.87
      ebas_data_level :
      2
      ebas_sample_duration :
      1h
      ebas_orig_time_res :
      1mn
      ebas_station_code :
      US0035R
      ebas_platform_code :
      US0035S
      ebas_station_name :
      Bondville
      ebas_station_latitude :
      40.05
      ebas_station_longitude :
      -88.36667
      ebas_station_altitude :
      213.0 m
      ebas_measuremenet_latitude :
      40.049999
      ebas_measurement_longitude :
      -88.366669
      ebas_measurement_altitude :
      213.0 m
      ebas_measurement_height :
      10.0 m
      ebas_regime :
      IMG
      ebas_component :
      aerosol_light_backscattering_coefficient
      ebas_unit :
      1/Mm
      ebas_matrix :
      pm10
      ebas_laboratory_code :
      US06L
      ebas_instrument_type :
      nephelometer
      ebas_instrument_name :
      TSI_3563_BND_pm10
      ebas_instrument_manufacturer :
      TSI
      ebas_instrument_model :
      3563
      ebas_instrument_serial_number :
      1022
      ebas_method_ref :
      US06L_scat_coef
      ebas_standard_method :
      cal-gas=CO2+AIR_truncation-correction=Anderson1998
      ebas_inlet_type :
      Impactor--direct
      ebas_inlet_description :
      Switched impactor at 10 um
      ebas_humidity_temperaure_control :
      Heating to 40% RH, limit 40 deg. C
      ebas_volume_std_temperature :
      273.15 K
      ebas_volume_std_pressure :
      1013.25 hPa
      ebas_zero_negative_values_code :
      Zero/negative possible
      ebas_zero_negative_values :
      Zero and neg. values may appear due to statistical variations at very low concentrations
      ebas_organization :
      US06L, National Oceanic and Atmospheric Administration, NOAA/ESRL/GMD, \"Earth System Research Laboratory, Global Monitoring Division\", 325 Broadway, , CO 80305-3, Boulder, U.S.A.
      ebas_framework_acronym :
      GAW-WDCA, NOAA-ESRL
      ebas_framework_name :
      World Data Centre for Aerosols,
      ebas_framework_description :
      The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme.,
      ebas_framework_contact_name :
      Markus Fiebig, Markus Fiebig
      ebas_framework_contact_email :
      Markus.Fiebig@nilu.no, Markus.Fiebig@nilu.no
      ebas_originator :
      Sheridan, Patrick, Patrick.Sheridan@noaa.gov, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Monitoring Division, NOAA/ESRL/GMD, , 325 Broadway, , 80305, \"Boulder, CO\", USA
      ebas_submitter :
      Sheridan, Patrick, Patrick.Sheridan@noaa.gov, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Monitoring Division, NOAA/ESRL/GMD, , 325 Broadway, , 80305, \"Boulder, CO\", USA
      ebas_acknowledgement :
      Request acknowledgement details from data originator
      ebas_comment :
      Standard Anderson & Ogren 1998 values used for truncation correction
      [26352 values with dtype=float64]
    • aerosol_light_backscattering_coefficient_perc8413
      (Wavelength, time)
      float64
      ...
      units :
      1/Mm
      ancillary_variables :
      aerosol_light_backscattering_coefficient_perc8413_qc aerosol_light_backscattering_coefficient_perc8413_ebasmetadata
      cell_methods :
      time: percentile:84.13
      ebas_data_license :
      https://creativecommons.org/licenses/by/4.0/
      ebas_revision_date :
      20240122174838
      ebas_version :
      1
      ebas_version_description :
      Version numbering not tracked, generated by CPD3 EBAS Export v24-107-g015cb29-m run as da.output.upload (26215) run by aerosol on aero2-new.cmdl.noaa.gov via da.output.upload --after=undef --profile=ebas --quiet bnd
      ebas_statistics :
      percentile:84.13
      ebas_data_level :
      2
      ebas_sample_duration :
      1h
      ebas_orig_time_res :
      1mn
      ebas_station_code :
      US0035R
      ebas_platform_code :
      US0035S
      ebas_station_name :
      Bondville
      ebas_station_latitude :
      40.05
      ebas_station_longitude :
      -88.36667
      ebas_station_altitude :
      213.0 m
      ebas_measuremenet_latitude :
      40.049999
      ebas_measurement_longitude :
      -88.366669
      ebas_measurement_altitude :
      213.0 m
      ebas_measurement_height :
      10.0 m
      ebas_regime :
      IMG
      ebas_component :
      aerosol_light_backscattering_coefficient
      ebas_unit :
      1/Mm
      ebas_matrix :
      pm10
      ebas_laboratory_code :
      US06L
      ebas_instrument_type :
      nephelometer
      ebas_instrument_name :
      TSI_3563_BND_pm10
      ebas_instrument_manufacturer :
      TSI
      ebas_instrument_model :
      3563
      ebas_instrument_serial_number :
      1022
      ebas_method_ref :
      US06L_scat_coef
      ebas_standard_method :
      cal-gas=CO2+AIR_truncation-correction=Anderson1998
      ebas_inlet_type :
      Impactor--direct
      ebas_inlet_description :
      Switched impactor at 10 um
      ebas_humidity_temperaure_control :
      Heating to 40% RH, limit 40 deg. C
      ebas_volume_std_temperature :
      273.15 K
      ebas_volume_std_pressure :
      1013.25 hPa
      ebas_zero_negative_values_code :
      Zero/negative possible
      ebas_zero_negative_values :
      Zero and neg. values may appear due to statistical variations at very low concentrations
      ebas_organization :
      US06L, National Oceanic and Atmospheric Administration, NOAA/ESRL/GMD, \"Earth System Research Laboratory, Global Monitoring Division\", 325 Broadway, , CO 80305-3, Boulder, U.S.A.
      ebas_framework_acronym :
      GAW-WDCA, NOAA-ESRL
      ebas_framework_name :
      World Data Centre for Aerosols,
      ebas_framework_description :
      The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme.,
      ebas_framework_contact_name :
      Markus Fiebig, Markus Fiebig
      ebas_framework_contact_email :
      Markus.Fiebig@nilu.no, Markus.Fiebig@nilu.no
      ebas_originator :
      Sheridan, Patrick, Patrick.Sheridan@noaa.gov, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Monitoring Division, NOAA/ESRL/GMD, , 325 Broadway, , 80305, \"Boulder, CO\", USA
      ebas_submitter :
      Sheridan, Patrick, Patrick.Sheridan@noaa.gov, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Monitoring Division, NOAA/ESRL/GMD, , 325 Broadway, , 80305, \"Boulder, CO\", USA
      ebas_acknowledgement :
      Request acknowledgement details from data originator
      ebas_comment :
      Standard Anderson & Ogren 1998 values used for truncation correction
      [26352 values with dtype=float64]
    • aerosol_light_scattering_coefficient_amean
      (Wavelength, time)
      float64
      ...
      units :
      1/Mm
      ancillary_variables :
      aerosol_light_scattering_coefficient_amean_qc aerosol_light_scattering_coefficient_amean_ebasmetadata
      cell_methods :
      time: mean
      ebas_data_license :
      https://creativecommons.org/licenses/by/4.0/
      ebas_revision_date :
      20240122174838
      ebas_version :
      1
      ebas_version_description :
      Version numbering not tracked, generated by CPD3 EBAS Export v24-107-g015cb29-m run as da.output.upload (26215) run by aerosol on aero2-new.cmdl.noaa.gov via da.output.upload --after=undef --profile=ebas --quiet bnd
      ebas_statistics :
      arithmetic mean
      ebas_data_level :
      2
      ebas_sample_duration :
      1h
      ebas_orig_time_res :
      1mn
      ebas_station_code :
      US0035R
      ebas_platform_code :
      US0035S
      ebas_station_name :
      Bondville
      ebas_station_latitude :
      40.05
      ebas_station_longitude :
      -88.36667
      ebas_station_altitude :
      213.0 m
      ebas_measuremenet_latitude :
      40.049999
      ebas_measurement_longitude :
      -88.366669
      ebas_measurement_altitude :
      213.0 m
      ebas_measurement_height :
      10.0 m
      ebas_regime :
      IMG
      ebas_component :
      aerosol_light_scattering_coefficient
      ebas_unit :
      1/Mm
      ebas_matrix :
      pm10
      ebas_laboratory_code :
      US06L
      ebas_instrument_type :
      nephelometer
      ebas_instrument_name :
      TSI_3563_BND_pm10
      ebas_instrument_manufacturer :
      TSI
      ebas_instrument_model :
      3563
      ebas_instrument_serial_number :
      1022
      ebas_method_ref :
      US06L_scat_coef
      ebas_standard_method :
      cal-gas=CO2+AIR_truncation-correction=Anderson1998
      ebas_inlet_type :
      Impactor--direct
      ebas_inlet_description :
      Switched impactor at 10 um
      ebas_humidity_temperaure_control :
      Heating to 40% RH, limit 40 deg. C
      ebas_volume_std_temperature :
      273.15 K
      ebas_volume_std_pressure :
      1013.25 hPa
      ebas_zero_negative_values_code :
      Zero/negative possible
      ebas_zero_negative_values :
      Zero and neg. values may appear due to statistical variations at very low concentrations
      ebas_organization :
      US06L, National Oceanic and Atmospheric Administration, NOAA/ESRL/GMD, \"Earth System Research Laboratory, Global Monitoring Division\", 325 Broadway, , CO 80305-3, Boulder, U.S.A.
      ebas_framework_acronym :
      GAW-WDCA, NOAA-ESRL
      ebas_framework_name :
      World Data Centre for Aerosols,
      ebas_framework_description :
      The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme.,
      ebas_framework_contact_name :
      Markus Fiebig, Markus Fiebig
      ebas_framework_contact_email :
      Markus.Fiebig@nilu.no, Markus.Fiebig@nilu.no
      ebas_originator :
      Sheridan, Patrick, Patrick.Sheridan@noaa.gov, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Monitoring Division, NOAA/ESRL/GMD, , 325 Broadway, , 80305, \"Boulder, CO\", USA
      ebas_submitter :
      Sheridan, Patrick, Patrick.Sheridan@noaa.gov, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Monitoring Division, NOAA/ESRL/GMD, , 325 Broadway, , 80305, \"Boulder, CO\", USA
      ebas_acknowledgement :
      Request acknowledgement details from data originator
      ebas_comment :
      Standard Anderson & Ogren 1998 values used for truncation correction
      [26352 values with dtype=float64]
    • aerosol_light_scattering_coefficient_prec1587
      (Wavelength, time)
      float64
      ...
      units :
      1/Mm
      ancillary_variables :
      aerosol_light_scattering_coefficient_prec1587_qc aerosol_light_scattering_coefficient_prec1587_ebasmetadata
      cell_methods :
      time: percentile:15.87
      ebas_data_license :
      https://creativecommons.org/licenses/by/4.0/
      ebas_revision_date :
      20240122174838
      ebas_version :
      1
      ebas_version_description :
      Version numbering not tracked, generated by CPD3 EBAS Export v24-107-g015cb29-m run as da.output.upload (26215) run by aerosol on aero2-new.cmdl.noaa.gov via da.output.upload --after=undef --profile=ebas --quiet bnd
      ebas_statistics :
      percentile:15.87
      ebas_data_level :
      2
      ebas_sample_duration :
      1h
      ebas_orig_time_res :
      1mn
      ebas_station_code :
      US0035R
      ebas_platform_code :
      US0035S
      ebas_station_name :
      Bondville
      ebas_station_latitude :
      40.05
      ebas_station_longitude :
      -88.36667
      ebas_station_altitude :
      213.0 m
      ebas_measuremenet_latitude :
      40.049999
      ebas_measurement_longitude :
      -88.366669
      ebas_measurement_altitude :
      213.0 m
      ebas_measurement_height :
      10.0 m
      ebas_regime :
      IMG
      ebas_component :
      aerosol_light_scattering_coefficient
      ebas_unit :
      1/Mm
      ebas_matrix :
      pm10
      ebas_laboratory_code :
      US06L
      ebas_instrument_type :
      nephelometer
      ebas_instrument_name :
      TSI_3563_BND_pm10
      ebas_instrument_manufacturer :
      TSI
      ebas_instrument_model :
      3563
      ebas_instrument_serial_number :
      1022
      ebas_method_ref :
      US06L_scat_coef
      ebas_standard_method :
      cal-gas=CO2+AIR_truncation-correction=Anderson1998
      ebas_inlet_type :
      Impactor--direct
      ebas_inlet_description :
      Switched impactor at 10 um
      ebas_humidity_temperaure_control :
      Heating to 40% RH, limit 40 deg. C
      ebas_volume_std_temperature :
      273.15 K
      ebas_volume_std_pressure :
      1013.25 hPa
      ebas_zero_negative_values_code :
      Zero/negative possible
      ebas_zero_negative_values :
      Zero and neg. values may appear due to statistical variations at very low concentrations
      ebas_organization :
      US06L, National Oceanic and Atmospheric Administration, NOAA/ESRL/GMD, \"Earth System Research Laboratory, Global Monitoring Division\", 325 Broadway, , CO 80305-3, Boulder, U.S.A.
      ebas_framework_acronym :
      GAW-WDCA, NOAA-ESRL
      ebas_framework_name :
      World Data Centre for Aerosols,
      ebas_framework_description :
      The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme.,
      ebas_framework_contact_name :
      Markus Fiebig, Markus Fiebig
      ebas_framework_contact_email :
      Markus.Fiebig@nilu.no, Markus.Fiebig@nilu.no
      ebas_originator :
      Sheridan, Patrick, Patrick.Sheridan@noaa.gov, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Monitoring Division, NOAA/ESRL/GMD, , 325 Broadway, , 80305, \"Boulder, CO\", USA
      ebas_submitter :
      Sheridan, Patrick, Patrick.Sheridan@noaa.gov, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Monitoring Division, NOAA/ESRL/GMD, , 325 Broadway, , 80305, \"Boulder, CO\", USA
      ebas_acknowledgement :
      Request acknowledgement details from data originator
      ebas_comment :
      Standard Anderson & Ogren 1998 values used for truncation correction
      [26352 values with dtype=float64]
    • aerosol_light_scattering_coefficient_perc8413
      (Wavelength, time)
      float64
      ...
      units :
      1/Mm
      ancillary_variables :
      aerosol_light_scattering_coefficient_perc8413_qc aerosol_light_scattering_coefficient_perc8413_ebasmetadata
      cell_methods :
      time: percentile:84.13
      ebas_data_license :
      https://creativecommons.org/licenses/by/4.0/
      ebas_revision_date :
      20240122174838
      ebas_version :
      1
      ebas_version_description :
      Version numbering not tracked, generated by CPD3 EBAS Export v24-107-g015cb29-m run as da.output.upload (26215) run by aerosol on aero2-new.cmdl.noaa.gov via da.output.upload --after=undef --profile=ebas --quiet bnd
      ebas_statistics :
      percentile:84.13
      ebas_data_level :
      2
      ebas_sample_duration :
      1h
      ebas_orig_time_res :
      1mn
      ebas_station_code :
      US0035R
      ebas_platform_code :
      US0035S
      ebas_station_name :
      Bondville
      ebas_station_latitude :
      40.05
      ebas_station_longitude :
      -88.36667
      ebas_station_altitude :
      213.0 m
      ebas_measuremenet_latitude :
      40.049999
      ebas_measurement_longitude :
      -88.366669
      ebas_measurement_altitude :
      213.0 m
      ebas_measurement_height :
      10.0 m
      ebas_regime :
      IMG
      ebas_component :
      aerosol_light_scattering_coefficient
      ebas_unit :
      1/Mm
      ebas_matrix :
      pm10
      ebas_laboratory_code :
      US06L
      ebas_instrument_type :
      nephelometer
      ebas_instrument_name :
      TSI_3563_BND_pm10
      ebas_instrument_manufacturer :
      TSI
      ebas_instrument_model :
      3563
      ebas_instrument_serial_number :
      1022
      ebas_method_ref :
      US06L_scat_coef
      ebas_standard_method :
      cal-gas=CO2+AIR_truncation-correction=Anderson1998
      ebas_inlet_type :
      Impactor--direct
      ebas_inlet_description :
      Switched impactor at 10 um
      ebas_humidity_temperaure_control :
      Heating to 40% RH, limit 40 deg. C
      ebas_volume_std_temperature :
      273.15 K
      ebas_volume_std_pressure :
      1013.25 hPa
      ebas_zero_negative_values_code :
      Zero/negative possible
      ebas_zero_negative_values :
      Zero and neg. values may appear due to statistical variations at very low concentrations
      ebas_organization :
      US06L, National Oceanic and Atmospheric Administration, NOAA/ESRL/GMD, \"Earth System Research Laboratory, Global Monitoring Division\", 325 Broadway, , CO 80305-3, Boulder, U.S.A.
      ebas_framework_acronym :
      GAW-WDCA, NOAA-ESRL
      ebas_framework_name :
      World Data Centre for Aerosols,
      ebas_framework_description :
      The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme.,
      ebas_framework_contact_name :
      Markus Fiebig, Markus Fiebig
      ebas_framework_contact_email :
      Markus.Fiebig@nilu.no, Markus.Fiebig@nilu.no
      ebas_originator :
      Sheridan, Patrick, Patrick.Sheridan@noaa.gov, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Monitoring Division, NOAA/ESRL/GMD, , 325 Broadway, , 80305, \"Boulder, CO\", USA
      ebas_submitter :
      Sheridan, Patrick, Patrick.Sheridan@noaa.gov, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Monitoring Division, NOAA/ESRL/GMD, , 325 Broadway, , 80305, \"Boulder, CO\", USA
      ebas_acknowledgement :
      Request acknowledgement details from data originator
      ebas_comment :
      Standard Anderson & Ogren 1998 values used for truncation correction
      [26352 values with dtype=float64]
    • time
      PandasIndex
      PandasIndex(DatetimeIndex(['1996-01-01 00:30:00', '1996-01-01 01:30:00',\n               '1996-01-01 02:30:00', '1996-01-01 03:30:00',\n               '1996-01-01 04:30:00', '1996-01-01 05:30:00',\n               '1996-01-01 06:30:00', '1996-01-01 07:30:00',\n               '1996-01-01 08:30:00', '1996-01-01 09:30:00',\n               ...\n               '1996-12-31 14:30:00', '1996-12-31 15:30:00',\n               '1996-12-31 16:30:00', '1996-12-31 17:30:00',\n               '1996-12-31 18:30:00', '1996-12-31 19:30:00',\n               '1996-12-31 20:30:00', '1996-12-31 21:30:00',\n               '1996-12-31 22:30:00', '1996-12-31 23:30:00'],\n              dtype='datetime64[ns]', name='time', length=8784, freq=None))
    • metadata_time
      PandasIndex
      PandasIndex(DatetimeIndex(['1996-07-02'], dtype='datetime64[ns]', name='metadata_time', freq=None))
    • Location
      PandasIndex
      PandasIndex(Index([b'instrument internal'], dtype='object', name='Location'))
    • Wavelength
      PandasIndex
      PandasIndex(Index([450.0, 550.0, 700.0], dtype='float64', name='Wavelength'))
  • Conventions :
    CF-1.8, ACDD-1.3
    featureType :
    timeSeries
    title :
    Ground based in situ observations of nephelometer at Bondville (US0035R)
    keywords :
    Bondville, US0035R, GAW-WDCA, aerosol_light_backscattering_coefficient, aerosol_light_scattering_coefficient, pm10, NOAA-ESRL
    id :
    US0035R.19960101000000.20240122174838.nephelometer...1y.1h.US06L_TSI_3563_BND_pm10.US06L_scat_coef.lev2.nc
    naming_authority :
    EBAS
    project :
    GAW-WDCA, NOAA-ESRL
    acknowledgement :
    Request acknowledgement details from data originator
    license :
    https://creativecommons.org/licenses/by/4.0/
    citation :
    Patrick Sheridan, aerosol_light_backscattering_coefficient, aerosol_light_scattering_coefficient - nephelometer at Bondville, data hosted by EBAS at NILU
    summary :
    Ground based in situ observations of nephelometer at Bondville (US0035R). These measurements are gathered as a part of the following projects GAW-WDCA, NOAA-ESRL and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: aerosol_light_backscattering_coefficient in pm10, aerosol_light_backscattering_coefficient in pm10, aerosol_light_backscattering_coefficient in pm10, aerosol_light_scattering_coefficient in pm10, aerosol_light_scattering_coefficient in pm10, aerosol_light_scattering_coefficient in pm10
    source :
    surface observation
    institution :
    US06L, National Oceanic and Atmospheric Administration, NOAA/ESRL/GMD, Earth System Research Laboratory, Global Monitoring Division, 325 Broadway, CO 80305-3, Boulder, U.S.A.
    processing_level :
    processing_level_test
    date_created :
    2024-01-22T17:48:38 UTC
    date_metadata_modified :
    2024-01-22T17:48:38 UTC
    creator_name :
    Patrick Sheridan
    creator_type :
    person
    creator_email :
    Patrick.Sheridan@noaa.gov
    creator_institution :
    \"National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Monitoring Division, NOAA/ESRL/GMD\"
    contributor_name :
    Patrick Sheridan
    contributor_role :
    data submitter
    publisher_type :
    institution
    publisher_name :
    NILU - Norwegian Institute for Air Research, ATMOS, EBAS
    publisher_institution :
    NILU - Norwegian Institute for Air Research, ATMOS, EBAS
    publisher_email :
    ebas@nilu.no
    publisher_url :
    https://www.nilu.no/
    geospatial_bounds :
    POINT Z (40.049999 -88.366669 213.0)
    geospatial_bounds_crs :
    EPSG:4979
    geospatial_lat_min :
    40.049999
    geospatial_lat_max :
    40.049999
    geospatial_lon_min :
    -88.366669
    geospatial_lon_max :
    -88.366669
    geospatial_vertical_min :
    213.0
    geospatial_vertical_max :
    213.0
    geospatial_vertical_positive :
    up
    time_coverage_start :
    1996-01-01T00:00:00 UTC
    time_coverage_end :
    1997-01-01T00:00:00 UTC
    time_coverage_duration :
    P0001-00-00T00:00:00
    time_coverage_resolution :
    P0000-00-00T01:00:00
    timezone :
    UTC
    ebas_data_definition :
    EBAS_1.1
    ebas_data_license :
    https://creativecommons.org/licenses/by/4.0/
    ebas_citation :
    Patrick Sheridan, aerosol_light_backscattering_coefficient, aerosol_light_scattering_coefficient - nephelometer at Bondville, data hosted by EBAS at NILU
    ebas_set_type_code :
    TU
    ebas_timezone :
    UTC
    ebas_file_name :
    US0035R.19960101000000.20240122174838.nephelometer...1y.1h.US06L_TSI_3563_BND_pm10.US06L_scat_coef.lev2.nc
    ebas_file_creation :
    2024-01-22T22:37:20.511196 UTC
    ebas_export_state :
    2024-01-22T22:25:04.270285 UTC
    ebas_export_filter :
    exclude-900,exclude-invalid
    ebas_startdate :
    19960101000000
    ebas_revision_date :
    20240122174838
    ebas_version :
    1
    ebas_version_description :
    Version numbering not tracked, generated by CPD3 EBAS Export v24-107-g015cb29-m run as da.output.upload (26215) run by aerosol on aero2-new.cmdl.noaa.gov via da.output.upload --after=undef --profile=ebas --quiet bnd
    ebas_data_level :
    2
    ebas_period_code :
    1y
    ebas_resolution_code :
    1h
    ebas_sample_duration :
    1h
    ebas_orig_time_res :
    1mn
    ebas_station_code :
    US0035R
    ebas_platform_code :
    US0035S
    ebas_station_name :
    Bondville
    ebas_station_latitude :
    40.05
    ebas_station_longitude :
    -88.36667
    ebas_station_altitude :
    213.0 m
    ebas_measuremenet_latitude :
    40.049999
    ebas_measurement_longitude :
    -88.366669
    ebas_measurement_altitude :
    213.0 m
    ebas_measurement_height :
    10.0 m
    ebas_regime :
    IMG
    ebas_laboratory_code :
    US06L
    ebas_instrument_type :
    nephelometer
    ebas_instrument_name :
    TSI_3563_BND_pm10
    ebas_instrument_manufacturer :
    TSI
    ebas_instrument_model :
    3563
    ebas_instrument_serial_number :
    1022
    ebas_method_ref :
    US06L_scat_coef
    ebas_standard_method :
    cal-gas=CO2+AIR_truncation-correction=Anderson1998
    ebas_inlet_type :
    Impactor--direct
    ebas_inlet_description :
    Switched impactor at 10 um
    ebas_humidity_temperaure_control :
    Heating to 40% RH, limit 40 deg. C
    ebas_volume_std_temperature :
    273.15 K
    ebas_volume_std_pressure :
    1013.25 hPa
    ebas_zero_negative_values_code :
    Zero/negative possible
    ebas_zero_negative_values :
    Zero and neg. values may appear due to statistical variations at very low concentrations
    ebas_organization :
    US06L, National Oceanic and Atmospheric Administration, NOAA/ESRL/GMD, \"Earth System Research Laboratory, Global Monitoring Division\", 325 Broadway, , CO 80305-3, Boulder, U.S.A.
    ebas_framework_acronym :
    GAW-WDCA, NOAA-ESRL
    ebas_framework_name :
    World Data Centre for Aerosols,
    ebas_framework_description :
    The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme.,
    ebas_framework_contact_name :
    Markus Fiebig, Markus Fiebig
    ebas_framework_contact_email :
    Markus.Fiebig@nilu.no, Markus.Fiebig@nilu.no
    ebas_originator :
    Sheridan, Patrick, Patrick.Sheridan@noaa.gov, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Monitoring Division, NOAA/ESRL/GMD, , 325 Broadway, , 80305, \"Boulder, CO\", USA
    ebas_submitter :
    Sheridan, Patrick, Patrick.Sheridan@noaa.gov, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Monitoring Division, NOAA/ESRL/GMD, , 325 Broadway, , 80305, \"Boulder, CO\", USA
    ebas_acknowledgement :
    Request acknowledgement details from data originator
    ebas_comment :
    Standard Anderson & Ogren 1998 values used for truncation correction
    Metadata_Conventions :
    Unidata Dataset Discovery v1.0
    geospatial_lat_units :
    degrees_north
    geospatial_lon_units :
    degrees_east
    comment :
    {\n \"Data definition\": \"EBAS_1.1\",\n \"Data license\": \"https://creativecommons.org/licenses/by/4.0/\",\n \"Citation\": \"Patrick Sheridan, aerosol_light_backscattering_coefficient, aerosol_light_scattering_coefficient - nephelometer at Bondville, data hosted by EBAS at NILU\",\n \"Set type code\": \"TU\",\n \"Timezone\": \"UTC\",\n \"File name\": \"US0035R.19960101000000.20240122174838.nephelometer...1y.1h.US06L_TSI_3563_BND_pm10.US06L_scat_coef.lev2.nc\",\n \"File creation\": \"2024-01-22T22:37:20.511196 UTC\",\n \"Export state\": \"2024-01-22T22:25:04.270285 UTC\",\n \"Export filter\": \"exclude-900,exclude-invalid\",\n \"Startdate\": \"19960101000000\",\n \"Revision date\": \"20240122174838\",\n \"Version\": \"1\",\n \"Version description\": \"Version numbering not tracked, generated by CPD3 EBAS Export v24-107-g015cb29-m run as da.output.upload (26215) run by aerosol on aero2-new.cmdl.noaa.gov via da.output.upload --after=undef --profile=ebas --quiet bnd\",\n \"Data level\": \"2\",\n \"Period code\": \"1y\",\n \"Resolution code\": \"1h\",\n \"Sample duration\": \"1h\",\n \"Orig. time res.\": \"1mn\",\n \"Station code\": \"US0035R\",\n \"Platform code\": \"US0035S\",\n \"Station name\": \"Bondville\",\n \"Station latitude\": \"40.05\",\n \"Station longitude\": \"-88.36667\",\n \"Station altitude\": \"213.0 m\",\n \"Measurement latitude\": \"40.049999\",\n \"Measurement longitude\": \"-88.366669\",\n \"Measurement altitude\": \"213.0 m\",\n \"Measurement height\": \"10.0 m\",\n \"Regime\": \"IMG\",\n \"Laboratory code\": \"US06L\",\n \"Instrument type\": \"nephelometer\",\n \"Instrument name\": \"TSI_3563_BND_pm10\",\n \"Instrument manufacturer\": \"TSI\",\n \"Instrument model\": \"3563\",\n \"Instrument serial number\": \"1022\",\n \"Method ref\": \"US06L_scat_coef\",\n \"Standard method\": \"cal-gas=CO2+AIR_truncation-correction=Anderson1998\",\n \"Inlet type\": \"Impactor--direct\",\n \"Inlet description\": \"Switched impactor at 10 um\",\n \"Humidity/temperature control\": \"Heating to 40% RH, limit 40 deg. C\",\n \"Volume std. temperature\": \"273.15 K\",\n \"Volume std. pressure\": \"1013.25 hPa\",\n \"Zero/negative values code\": \"Zero/negative possible\",\n \"Zero/negative values\": \"Zero and neg. values may appear due to statistical variations at very low concentrations\",\n \"Organization\": \"US06L, National Oceanic and Atmospheric Administration, NOAA/ESRL/GMD, \\\"Earth System Research Laboratory, Global Monitoring Division\\\", 325 Broadway, , CO 80305-3, Boulder, U.S.A.\",\n \"Framework acronym\": \"GAW-WDCA, NOAA-ESRL\",\n \"Framework name\": \"World Data Centre for Aerosols, \",\n \"Framework description\": \"The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme., \",\n \"Framework contact name\": \"Markus Fiebig, Markus Fiebig\",\n \"Framework contact email\": \"Markus.Fiebig@nilu.no, Markus.Fiebig@nilu.no\",\n \"Originator\": \"Sheridan, Patrick, Patrick.Sheridan@noaa.gov, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Monitoring Division, NOAA/ESRL/GMD, , 325 Broadway, , 80305, \\\"Boulder, CO\\\", USA\",\n \"Submitter\": \"Sheridan, Patrick, Patrick.Sheridan@noaa.gov, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Monitoring Division, NOAA/ESRL/GMD, , 325 Broadway, , 80305, \\\"Boulder, CO\\\", USA\",\n \"Acknowledgement\": \"Request acknowledgement details from data originator\",\n \"Comment\": \"Standard Anderson & Ogren 1998 values used for truncation correction\"\n}
    standard_name_vocabulary :
    CF-1.7, ACDD-1.3
    history :
    None
    creator_url :
    ebas.nilu.no
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
In\u00a0[\u00a0]:
\n
\n
\n
phot_ds\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
Out[\u00a0]:
\n
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<xarray.Dataset>\nDimensions:                                               (time: 87672,\n                                                           tbnds: 2,\n                                                           metadata_time: 10,\n                                                           Wavelength: 1,\n                                                           aerosol_absorption_coefficient_amean_qc_flags: 1,\n                                                           aerosol_absorption_coefficient_prec1587_qc_flags: 1,\n                                                           aerosol_absorption_coefficient_perc8413_qc_flags: 1)\nCoordinates:\n  * time                                                  (time) datetime64[ns] ...\n  * metadata_time                                         (metadata_time) datetime64[ns] ...\n  * Wavelength                                            (Wavelength) float64 ...\nDimensions without coordinates: tbnds,\n                                aerosol_absorption_coefficient_amean_qc_flags,\n                                aerosol_absorption_coefficient_prec1587_qc_flags,\n                                aerosol_absorption_coefficient_perc8413_qc_flags\nData variables:\n    time_bnds                                             (time, tbnds) datetime64[ns] ...\n    metadata_time_bnds                                    (metadata_time, tbnds) datetime64[ns] ...\n    aerosol_absorption_coefficient_amean_qc               (Wavelength, aerosol_absorption_coefficient_amean_qc_flags, time) float64 ...\n    aerosol_absorption_coefficient_prec1587_qc            (Wavelength, aerosol_absorption_coefficient_prec1587_qc_flags, time) float64 ...\n    aerosol_absorption_coefficient_prec1587_ebasmetadata  (Wavelength, metadata_time) |S64 ...\n    aerosol_absorption_coefficient_perc8413_ebasmetadata  (Wavelength, metadata_time) |S64 ...\n    aerosol_absorption_coefficient_amean_ebasmetadata     (Wavelength, metadata_time) |S64 ...\n    aerosol_absorption_coefficient_perc8413_qc            (Wavelength, aerosol_absorption_coefficient_perc8413_qc_flags, time) float64 ...\n    aerosol_absorption_coefficient_prec1587               (Wavelength, time) float64 ...\n    aerosol_absorption_coefficient_amean                  (Wavelength, time) float64 ...\n    aerosol_absorption_coefficient_perc8413               (Wavelength, time) float64 ...\nAttributes: (12/52)\n    Conventions:                   CF-1.7, ACDD-1.3\n    featureType:                   timeSeries\n    title:                         Ground based in situ observations of aeros...\n    keywords:                      Bondville, NOAA-ESRL, US0035R, pm10, aeros...\n    id:                            US0035R.19960101000000.20200311082648.filt...\n    naming_authority:              EBAS\n    ...                            ...\n    geospatial_lat_units:          degrees_north\n    geospatial_lon_units:          degrees_east\n    comment:                       {\\n    \"Data definition\": \"EBAS_1.1\", \\n  ...\n    standard_name_vocabulary:      CF-1.7, ACDD-1.3\n    history:                       None\n    creator_url:                   ebas.nilu.no
xarray.Dataset
    • time: 87672
    • tbnds: 2
    • metadata_time: 10
    • Wavelength: 1
    • aerosol_absorption_coefficient_amean_qc_flags: 1
    • aerosol_absorption_coefficient_prec1587_qc_flags: 1
    • aerosol_absorption_coefficient_perc8413_qc_flags: 1
    • time
      (time)
      datetime64[ns]
      1996-01-01T00:30:00 ... 2005-12-...
      standard_name :
      time
      long_name :
      time of measurement
      axis :
      T
      bounds :
      time_bnds
      cell_methods :
      mean
      array(['1996-01-01T00:30:00.000000000', '1996-01-01T01:30:00.000000000',\n       '1996-01-01T02:30:00.000000000', ..., '2005-12-31T21:30:00.000000000',\n       '2005-12-31T22:30:00.000000000', '2005-12-31T23:30:00.000000000'],\n      dtype='datetime64[ns]')
    • metadata_time
      (metadata_time)
      datetime64[ns]
      1996-07-02 ... 2005-07-02T12:00:00
      standard_name :
      time
      long_name :
      time of ebas metadata intervals
      axis :
      T
      bounds :
      metadata_time_bnds
      cell_methods :
      mean
      array(['1996-07-02T00:00:00.000000000', '1997-07-02T12:00:00.000000000',\n       '1998-07-02T12:00:00.000000000', '1999-07-02T12:00:00.000000000',\n       '2000-07-02T00:00:00.000000000', '2001-07-02T12:00:00.000000000',\n       '2002-07-02T12:00:00.000000000', '2003-07-02T12:00:00.000000000',\n       '2004-07-02T00:00:00.000000000', '2005-07-02T12:00:00.000000000'],\n      dtype='datetime64[ns]')
    • Wavelength
      (Wavelength)
      float64
      550.0
      array([550.])
    • time_bnds
      (time, tbnds)
      datetime64[ns]
      ...
      standard_name :
      time
      long_name :
      time bounds for measurement
      [175344 values with dtype=datetime64[ns]]
    • metadata_time_bnds
      (metadata_time, tbnds)
      datetime64[ns]
      ...
      standard_name :
      time
      long_name :
      time bounds for ebas metadata intervals
      [20 values with dtype=datetime64[ns]]
    • aerosol_absorption_coefficient_amean_qc
      (Wavelength, aerosol_absorption_coefficient_amean_qc_flags, time)
      float64
      ...
      units :
      1
      [87672 values with dtype=float64]
    • aerosol_absorption_coefficient_prec1587_qc
      (Wavelength, aerosol_absorption_coefficient_prec1587_qc_flags, time)
      float64
      ...
      units :
      1
      [87672 values with dtype=float64]
    • aerosol_absorption_coefficient_prec1587_ebasmetadata
      (Wavelength, metadata_time)
      |S64
      ...
      long_name :
      ebas metadata for different time intervals; json encoded
      [10 values with dtype=|S64]
    • aerosol_absorption_coefficient_perc8413_ebasmetadata
      (Wavelength, metadata_time)
      |S64
      ...
      long_name :
      ebas metadata for different time intervals; json encoded
      [10 values with dtype=|S64]
    • aerosol_absorption_coefficient_amean_ebasmetadata
      (Wavelength, metadata_time)
      |S64
      ...
      long_name :
      ebas metadata for different time intervals; json encoded
      [10 values with dtype=|S64]
    • aerosol_absorption_coefficient_perc8413_qc
      (Wavelength, aerosol_absorption_coefficient_perc8413_qc_flags, time)
      float64
      ...
      units :
      1
      [87672 values with dtype=float64]
    • aerosol_absorption_coefficient_prec1587
      (Wavelength, time)
      float64
      ...
      units :
      1/Mm
      ancillary_variables :
      aerosol_absorption_coefficient_prec1587_qc aerosol_absorption_coefficient_prec1587_ebasmetadata
      cell_methods :
      time: percentile:15.87
      [87672 values with dtype=float64]
    • aerosol_absorption_coefficient_amean
      (Wavelength, time)
      float64
      ...
      units :
      1/Mm
      ancillary_variables :
      aerosol_absorption_coefficient_amean_qc aerosol_absorption_coefficient_amean_ebasmetadata
      cell_methods :
      time: mean
      [87672 values with dtype=float64]
    • aerosol_absorption_coefficient_perc8413
      (Wavelength, time)
      float64
      ...
      units :
      1/Mm
      ancillary_variables :
      aerosol_absorption_coefficient_perc8413_qc aerosol_absorption_coefficient_perc8413_ebasmetadata
      cell_methods :
      time: percentile:84.13
      [87672 values with dtype=float64]
    • time
      PandasIndex
      PandasIndex(DatetimeIndex(['1996-01-01 00:30:00', '1996-01-01 01:30:00',\n               '1996-01-01 02:30:00', '1996-01-01 03:30:00',\n               '1996-01-01 04:30:00', '1996-01-01 05:30:00',\n               '1996-01-01 06:30:00', '1996-01-01 07:30:00',\n               '1996-01-01 08:30:00', '1996-01-01 09:30:00',\n               ...\n               '2005-12-31 14:30:00', '2005-12-31 15:30:00',\n               '2005-12-31 16:30:00', '2005-12-31 17:30:00',\n               '2005-12-31 18:30:00', '2005-12-31 19:30:00',\n               '2005-12-31 20:30:00', '2005-12-31 21:30:00',\n               '2005-12-31 22:30:00', '2005-12-31 23:30:00'],\n              dtype='datetime64[ns]', name='time', length=87672, freq=None))
    • metadata_time
      PandasIndex
      PandasIndex(DatetimeIndex(['1996-07-02 00:00:00', '1997-07-02 12:00:00',\n               '1998-07-02 12:00:00', '1999-07-02 12:00:00',\n               '2000-07-02 00:00:00', '2001-07-02 12:00:00',\n               '2002-07-02 12:00:00', '2003-07-02 12:00:00',\n               '2004-07-02 00:00:00', '2005-07-02 12:00:00'],\n              dtype='datetime64[ns]', name='metadata_time', freq=None))
    • Wavelength
      PandasIndex
      PandasIndex(Index([550.0], dtype='float64', name='Wavelength'))
  • Conventions :
    CF-1.7, ACDD-1.3
    featureType :
    timeSeries
    title :
    Ground based in situ observations of aerosol_absorption_coefficient at Bondville (US0035R) using filter_absorption_photometer
    keywords :
    Bondville, NOAA-ESRL, US0035R, pm10, aerosol_absorption_coefficient, GAW-WDCA
    id :
    US0035R.19960101000000.20200311082648.filter_absorption_photometer.aerosol_absorption_coefficient.pm10.10y.1h.US06L_RadianceResearch_PSAP-1W_BND_pm10.US06L_abs_coef.lev2.nc
    naming_authority :
    EBAS
    project :
    GAW-WDCA, NOAA-ESRL
    acknowledgement :
    Request acknowledgement details from data originator
    license :
    GAW-WDCA: , NOAA-ESRL:
    summary :
    Ground based in situ observations of aerosol_absorption_coefficient at Bondville (US0035R) using filter_absorption_photometer. These measurements are gathered as a part of the following projects GAW-WDCA, NOAA-ESRL and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: aerosol_absorption_coefficient in pm10
    source :
    surface observation
    institution :
    US06L, National Oceanic and Atmospheric Administration, NOAA/ESRL/GMD, Earth System Research Laboratory, Global Monitoring Division, 325 Broadway, CO 80305-3, Boulder, U.S.A.
    processing_level :
    processing_level_test
    date_created :
    2020-03-11T08:26:48 UTC
    date_metadata_modified :
    2020-03-11T08:26:48 UTC
    creator_name :
    Patrick Sheridan
    creator_type :
    person
    creator_email :
    Patrick.Sheridan@noaa.gov
    creator_institution :
    \"National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Monitoring Division, NOAA/ESRL/GMD\"
    contributor_name :
    Patrick Sheridan
    contributor_role :
    data submitter
    publisher_type :
    institution
    publisher_name :
    NILU - Norwegian Institute for Air Research, ATMOS, EBAS
    publisher_institution :
    NILU - Norwegian Institute for Air Research, ATMOS, EBAS
    publisher_email :
    ebas@nilu.no
    publisher_url :
    https://www.nilu.no/
    geospatial_bounds :
    POINT Z (40.049999 -88.366669 213.0)
    geospatial_bounds_crs :
    EPSG:4979
    geospatial_lat_min :
    40.049999
    geospatial_lat_max :
    40.049999
    geospatial_lon_min :
    -88.366669
    geospatial_lon_max :
    -88.366669
    geospatial_vertical_min :
    213.0
    geospatial_vertical_max :
    213.0
    geospatial_vertical_positive :
    up
    time_coverage_start :
    1996-01-01T00:00:00 UTC
    time_coverage_end :
    2006-01-01T00:00:00 UTC
    time_coverage_duration :
    P0010-00-00T00:00:00
    time_coverage_resolution :
    P0000-00-00T01:00:00
    timezone :
    UTC
    ebas_framework_acronym :
    GAW-WDCA, NOAA-ESRL
    ebas_framework_name :
    World Data Centre for Aerosols,
    ebas_framework_description :
    The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme.,
    ebas_framework_contact_name :
    Markus Fiebig, Markus Fiebig
    ebas_framework_contact_email :
    Markus.Fiebig@nilu.no, Markus.Fiebig@nilu.no
    Metadata_Conventions :
    Unidata Dataset Discovery v1.0
    geospatial_lat_units :
    degrees_north
    geospatial_lon_units :
    degrees_east
    comment :
    {\n \"Data definition\": \"EBAS_1.1\", \n \"Set type code\": \"TU\", \n \"Timezone\": \"UTC\", \n \"File name\": \"US0035R.19960101000000.20200311082648.filter_absorption_photometer.aerosol_absorption_coefficient.pm10.10y.1h.US06L_RadianceResearch_PSAP-1W_BND_pm10.US06L_abs_coef.lev2.nc\", \n \"File creation\": \"20200311112942\", \n \"Startdate\": \"19960101000000\", \n \"Revision date\": \"20200311082648\", \n \"Version\": \"1\", \n \"Version description\": \"Version numbering not tracked, generated by CPD3 EBAS Export v24-107-g015cb29-m run as da.output.upload (26215) run by aerosol on aero2-new.cmdl.noaa.gov via da.output.upload --after=undef --profile=ebas --quiet bnd\", \n \"Data level\": \"2\", \n \"Period code\": \"10y\", \n \"Resolution code\": \"1h\", \n \"Sample duration\": \"1h\", \n \"Orig. time res.\": \"1mn\", \n \"Station code\": \"US0035R\", \n \"Platform code\": \"US0035S\", \n \"Station name\": \"Bondville\", \n \"Station latitude\": \"40.05\", \n \"Station longitude\": \"-88.36667\", \n \"Station altitude\": \"213.0 m\", \n \"Measurement latitude\": \"40.049999\", \n \"Measurement longitude\": \"-88.366669\", \n \"Measurement altitude\": \"213.0 m\", \n \"Measurement height\": \"10.0 m\", \n \"Regime\": \"IMG\", \n \"Component\": \"aerosol_absorption_coefficient\", \n \"Unit\": \"1/Mm\", \n \"Matrix\": \"pm10\", \n \"Laboratory code\": \"US06L\", \n \"Instrument type\": \"filter_absorption_photometer\", \n \"Instrument name\": \"RadianceResearch_PSAP-1W_BND_pm10\", \n \"Instrument manufacturer\": \"Radiance-Research\", \n \"Instrument model\": \"PSAP-1W\", \n \"Method ref\": \"US06L_abs_coef\", \n \"Standard method\": \"Single-angle_Correction=Bond1999_Ogren2010\", \n \"Inlet type\": \"Impactor--direct\", \n \"Inlet description\": \"Switched impactor at 10 um\", \n \"Humidity/temperature control\": \"Heating to 40% RH, limit 40 deg. C\", \n \"Volume std. temperature\": \"273.15 K\", \n \"Volume std. pressure\": \"1013.25 hPa\", \n \"Zero/negative values code\": \"Zero/negative possible\", \n \"Zero/negative values\": \"Zero and neg. values may appear due to statistical variations at very low concentrations\", \n \"Organization\": \"US06L, National Oceanic and Atmospheric Administration, NOAA/ESRL/GMD, \\\"Earth System Research Laboratory, Global Monitoring Division\\\", 325 Broadway, , CO 80305-3, Boulder, U.S.A.\", \n \"Frameworks\": \"GAW-WDCA NOAA-ESRL\", \n \"Originator\": \"Sheridan, Patrick, Patrick.Sheridan@noaa.gov, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Monitoring Division, NOAA/ESRL/GMD, , 325 Broadway, , 80305, \\\"Boulder, CO\\\", USA\", \n \"Submitter\": \"Sheridan, Patrick, Patrick.Sheridan@noaa.gov, National Oceanic and Atmospheric Administration/Earth System Research Laboratory/Global Monitoring Division, NOAA/ESRL/GMD, , 325 Broadway, , 80305, \\\"Boulder, CO\\\", USA\", \n \"Acknowledgement\": \"Request acknowledgement details from data originator\", \n \"Comment\": \"Standard Bond et al. 1999 values for K1 and K2 used at all wavelengths\"\n}
    standard_name_vocabulary :
    CF-1.7, ACDD-1.3
    history :
    None
    creator_url :
    ebas.nilu.no
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From the two datasets above, we observe that both of them contain measurements at a wavelength of 550 nm. Additionally, they both possess multiple variables. To make further operations easier, it is beneficial to extract the variables of interest, which in this case is the coefficient means.

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# extracting variables and wavelengths of interest\n\n# Absorption\nab = phot_ds[\"aerosol_absorption_coefficient_amean\"]\nab_coeff = ab.sel(Wavelength = 550)\n\n# Scattering\nsc = neph_ds[\"aerosol_light_scattering_coefficient_amean\"]\nsc_coeff = sc.sel(Wavelength = 550.0) \n
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As seen in the metadata of the measurements, using the xarrays, the data obtained from the nephelometer includes measurements solely from 1996, whereas the data acquired from the filter absorption photometer spans from 1996 to 2005. When this is the case, we want only want to look at the data from 1996 given by the filter absorption photometer.

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# Check the datasets for big gaps in time, and adjust according to.\n\nab_coeff = ab_coeff.sel(time=slice(\"1996-01-01\", \"1996-12-31\")) # matching the time to the scattering values\n
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# Converting to dataframe\nsc = sc_coeff.to_dataframe()\nab = ab_coeff.to_dataframe()\n
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Plotting of raw data\u00b6

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# Plotting the coefficients\nab[\"aerosol_absorption_coefficient_amean\"].plot()\nsc[\"aerosol_light_scattering_coefficient_amean\"].plot()\n\nplt.title(\"Absorption and scattering coefficients at Bondville (US) in 1996\")\nplt.xlabel(\"Time\")\nplt.ylabel(\"[1/Mm]\")\nplt.legend([\"Absorption Coefficient\", \"Light Scattering Coefficient\"])\ntext_box_props = dict(boxstyle='round', facecolor='white', alpha=0.5)\nplt.text(0.03, 0.87, 'Particle size. PM10\\nWavelength: 550nm', transform=plt.gca().transAxes, bbox=text_box_props)\nplt.gca().set_facecolor('white')\nplt.grid(True, linestyle='--', alpha=0.5)\n
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Example on how to plot the two coefficients on different y-axis, getting a better view of the absorption coefficient:

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fig, ax1 = plt.subplots()\n\nfig.suptitle(\"Absorption and scattering coefficients at Bondville (US) in 1996\")\n\nax1.set_xlabel(\"Time\")\nax1.set_ylabel(\"Light scattering coefficient [1/Mm]\", color = \"red\")\nax1.plot(sc[\"aerosol_light_scattering_coefficient_amean\"], color = \"red\")\nax1.tick_params(axis='y', labelcolor=\"red\")\n\nax2 = ax1.twinx()\n\nax2.set_ylabel('Absorption coefficient [1/Mm]', color=\"blue\") \nax2.plot(ab[\"aerosol_absorption_coefficient_amean\"], color=\"blue\")\nax2.tick_params(axis='y', labelcolor=\"blue\")\n\ntext_box_props = dict(boxstyle='round', facecolor='white', alpha=0.5)\nplt.text(0.03, 0.87, 'Particle size. PM10\\nWavelength: 550nm', transform=plt.gca().transAxes, bbox=text_box_props)\n\nfig.tight_layout()  \nplt.show()\n
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There is a large gap in the datasets, for the example's sake, we look at the last part of the times series below.

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# A big gap in the datasets, so we focus on the last months of 1996:\n\nab = ab_coeff.sel(time=slice(\"1996-10\",\"1996-12\"))\nsc = sc_coeff.sel(time=slice(\"1996-10\",\"1996-12\"))\n\nsc = sc.to_dataframe()\nab = ab.to_dataframe()\n
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# Plotting the coefficients\nab[\"aerosol_absorption_coefficient_amean\"].plot()\nsc[\"aerosol_light_scattering_coefficient_amean\"].plot()\n\nplt.title(\"Absorption and scattering coefficients (PM10) at Bondville (US) in oct-dec 1996\")\nplt.xlabel(\"Time\")\nplt.ylabel(\"[1/Mm]\")\nplt.legend([\"Absorption Coefficient\", \"Light Scattering Coefficient\"])\ntext_box_props = dict(boxstyle='round', facecolor='white', alpha=0.5)\nplt.text(0.67, 0.87, 'Particle size. PM10\\nWavelength: 550nm', transform=plt.gca().transAxes, bbox=text_box_props)\nplt.gca().set_facecolor('white')\nplt.grid(True, linestyle='--', alpha=0.5)\n
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Calculating SSA\u00b6

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In\u00a0[\u00a0]:
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# Calculating the SSA\n\n# Due to NaNs in the datasets,it might be useful to calculate SSA using an if/else test:\n\ndef SSA(s,a):\n    # s, a are the scattering and absorption coeff.\n    # For a smooth operation, check that datasets are even in size.\n    if len(s) == len(a):\n        x = len(s)\n    else:\n        return print(\"Match length of datasets.\")\n    \n    ssa = np.zeros(x)\n    # checking for any timesteps where there is no measurement (NaN)\n    for i in range(x):\n        if np.isnan(s[i]) or np.isnan(a[i]):\n            ssa[i] = np.nan\n        else:\n            ssa[i] = s[i] / (s[i] + a[i])\n            \n    time = s.index\n    return time, ssa\n            \n
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If the datasets of scattering coefficicents and absorption coefficients do not match in length, i.e. you get \"Match length of datasets\" when running the function above, there might be duplicates or differences in indexes of the two datasets. How to tackle this is shown in example 2.

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Plot of SSA\u00b6

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In\u00a0[\u00a0]:
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# Assigning the coefficients to arrays\nsigma_SP = sc[\"aerosol_light_scattering_coefficient_amean\"]\nsigma_AP = ab[\"aerosol_absorption_coefficient_amean\"]\n\n# Executing the SSA function on our datasets\ntime, ssa = SSA(sigma_SP, sigma_AP)\n\n# Plotting the results of SSA\nplt.plot(time, ssa, color='lightsteelblue')\nplt.xticks(rotation=45)\nplt.title(\"Single scattering albedo at Bondville (US) oct-dec 1996\")\nplt.xlabel(\"Date\")\nplt.ylabel(\"$\\omega 0$\")\nplt.gca().set_facecolor('white')\nplt.grid(True, linestyle='--', alpha=0.5)\ntext_box_props = dict(boxstyle='round', facecolor='white', alpha=0.5)\nplt.text(0.67, 0.3, 'Particle size. PM10\\nWavelength: 550nm', transform=plt.gca().transAxes, bbox=text_box_props)\n\nplt.show()\n
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The single scattering albedo, as previously explained, is a ratio that theoretically ranges from 0 to 1. However, the plot above indicates that this is not always the case, as the SSA in certain areas exceeds 1. In most instances, these occurrences can be due to measurement errors or anomalies. For further studies, one can look at the flagged measurements specified in the metadata.

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With the SSA determined, we might want to know something about the statistics of our calculations and measurements. Here are some examples.

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# New dataframe containing SSA\n\ndf_SSA = pd.DataFrame(ssa,time)\n\n# Inserting the coefficients into dataframe\n\ndf_SSA[\"sigma_SP\"] = sigma_SP\ndf_SSA[\"sigma_AP\"] = sigma_AP\n\n# Editing headings in dataframe\n\nheadings = [\"SSA\", \"sigma_SP\", \"sigma_AP\"]\ndf_SSA.columns = headings\n\ndf_SSA\n
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Out[\u00a0]:
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SSAsigma_SPsigma_AP
time
1996-10-01 00:30:000.66468743.6522.02
1996-10-01 01:30:000.73714241.4214.77
1996-10-01 02:30:000.76316252.6216.33
1996-10-01 03:30:000.73888250.5117.85
1996-10-01 04:30:000.69157950.3422.45
............
1996-12-31 19:30:00NaNNaNNaN
1996-12-31 20:30:00NaNNaNNaN
1996-12-31 21:30:00NaNNaNNaN
1996-12-31 22:30:00NaNNaNNaN
1996-12-31 23:30:00NaNNaNNaN
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2208 rows \u00d7 3 columns

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Daily mean\u00b6

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In\u00a0[\u00a0]:
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daily_mean = df_SSA.resample('D').mean()\ndaily_mean\n
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Out[\u00a0]:
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SSAsigma_SPsigma_AP
time
1996-10-010.83192254.76541710.772222
1996-10-020.92996596.8504176.455417
1996-10-030.81173511.6675002.893750
1996-10-040.80660816.5666673.960000
1996-10-050.75647022.4670836.596087
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1996-12-270.97636468.6045831.449130
1996-12-280.97437735.7354170.791667
1996-12-290.99630487.9854170.130000
1996-12-300.99789760.960000-0.004444
1996-12-31NaNNaNNaN
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92 rows \u00d7 3 columns

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plt.plot(daily_mean.index, daily_mean[\"SSA\"])\nplt.ylabel(\"$\\omega 0$\")\nplt.xlabel(\"Date\")\nplt.xticks(rotation=45)\nplt.title(\"Daily mean of SSA at Bondville (US) oct-dec 1996\")\nplt.gca().set_facecolor('white')\nplt.grid(True, linestyle='--', alpha=0.5)\ntext_box_props = dict(boxstyle='round', facecolor='white', alpha=0.5)\nplt.text(0.67, 0.3, 'Particle size. PM10\\nWavelength: 550nm', transform=plt.gca().transAxes, bbox=text_box_props)\n
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Out[\u00a0]:
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Text(0.67, 0.3, 'Particle size. PM10\\nWavelength: 550nm')
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10-day moving average\u00b6

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In\u00a0[\u00a0]:
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moving_average = df_SSA.rolling(window=10).mean()\nmoving_average\n
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Out[\u00a0]:
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SSAsigma_SPsigma_AP
time
1996-10-01 00:30:00NaNNaNNaN
1996-10-01 01:30:00NaNNaNNaN
1996-10-01 02:30:00NaNNaNNaN
1996-10-01 03:30:00NaNNaNNaN
1996-10-01 04:30:00NaNNaNNaN
............
1996-12-31 19:30:00NaNNaNNaN
1996-12-31 20:30:00NaNNaNNaN
1996-12-31 21:30:00NaNNaNNaN
1996-12-31 22:30:00NaNNaNNaN
1996-12-31 23:30:00NaNNaNNaN
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2208 rows \u00d7 3 columns

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plt.plot(moving_average.index, moving_average[\"SSA\"])\nplt.xticks(rotation=45)\nplt.title(\"10-day moving average of SSA at Bondville (US) oct-dec 1996\")\nplt.xlabel(\"Time\")\nplt.ylabel(r\"$\\bar w_0$\")\nplt.gca().set_facecolor('white')\nplt.grid(True, linestyle='--', alpha=0.5)\ntext_box_props = dict(boxstyle='round', facecolor='white', alpha=0.5)\nplt.text(0.67, 0.3, 'Particle size. PM10\\nWavelength: 550nm', transform=plt.gca().transAxes, bbox=text_box_props)\n
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Out[\u00a0]:
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Text(0.67, 0.3, 'Particle size. PM10\\nWavelength: 550nm')
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Standard deviation and standard error\u00b6

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n = len(df_SSA[\"SSA\"]) # sample size\nstd = df_SSA[\"SSA\"].std()\n\nstd_err = std/np.sqrt(n)\n\nprint(f\"The standard deviation of the determined single scattering albedo in Bondville (US) in Oct-Dec 1996 is approximately: \\n {std:.4f}\")\nprint()\nprint(f\"The standard error of the determined single scattering albedo in Bondville (US) in Oct-Dec 1996 is approximately: \\n {std_err:.4f}\")\n
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The standard deviation of the determined single scattering albedo in Bondville (US) in Oct-Dec 1996 is approximately: \n 0.0721\n\nThe standard error of the determined single scattering albedo in Bondville (US) in Oct-Dec 1996 is approximately: \n 0.0015\n
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Example 2, datasets with non-matching wavelengths\u00b6

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By using the same procedure as for example 1, you obtain desired datasets. Here we have found data from the Birkenes II station in Norway.

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In\u00a0[\u00a0]:
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# Importing datasets, nephelometer and filter absoprtion photometer\nopendap_url = \"https://thredds.nilu.no/thredds/dodsC/ebas/NO0002R.20100101000000.20230623163936.nephelometer...13y.1h.NO01L_TSI_3563_BIR_dry.NO01L_scat_coef.lev2.nc\"\nopendap_url0 = \"https://thredds.nilu.no/thredds/dodsC/ebas/NO0002R.20170101000000.20230627082633.filter_absorption_photometer.aerosol_absorption_coefficient.pm10.6y.1h.NO01L_Radiance-Research_PSAP-3W_BIR_dry.NO01L_abs_coef_PSAP_v1.lev2.nc\"\n
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In\u00a0[\u00a0]:
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neph_ds = xr.open_dataset(opendap_url)  # Opening and showing dataset with xarray\nphot_ds = xr.open_dataset(opendap_url0)  # Opening and showing dataset with xarray\n
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Out[\u00a0]:
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\n
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
<xarray.Dataset>\nDimensions:                                                         (\n                                                                     time: 113952,\n                                                                     tbnds: 2,\n                                                                     metadata_time: 13,\n                                                                     Location: 1,\n                                                                     pressure_qc_flags: 3,\n                                                                     ...\n                                                                     aerosol_light_backscattering_coefficient_amean_qc_flags: 3,\n                                                                     aerosol_light_backscattering_coefficient_prec1587_qc_flags: 3,\n                                                                     aerosol_light_backscattering_coefficient_perc8413_qc_flags: 3,\n                                                                     aerosol_light_scattering_coefficient_amean_qc_flags: 3,\n                                                                     aerosol_light_scattering_coefficient_prec1587_qc_flags: 3,\n                                                                     aerosol_light_scattering_coefficient_perc8413_qc_flags: 3)\nCoordinates:\n  * time                                                            (time) datetime64[ns] ...\n  * metadata_time                                                   (metadata_time) datetime64[ns] ...\n  * Location                                                        (Location) |S64 ...\n  * Wavelength                                                      (Wavelength) float64 ...\nDimensions without coordinates: tbnds, pressure_qc_flags,\n                                relative_humidity_qc_flags,\n                                temperature_qc_flags,\n                                aerosol_light_backscattering_coefficient_amean_qc_flags,\n                                aerosol_light_backscattering_coefficient_prec1587_qc_flags,\n                                aerosol_light_backscattering_coefficient_perc8413_qc_flags,\n                                aerosol_light_scattering_coefficient_amean_qc_flags,\n                                aerosol_light_scattering_coefficient_prec1587_qc_flags,\n                                aerosol_light_scattering_coefficient_perc8413_qc_flags\nData variables: (12/29)\n    time_bnds                                                       (time, tbnds) datetime64[ns] ...\n    metadata_time_bnds                                              (metadata_time, tbnds) datetime64[ns] ...\n    pressure_qc                                                     (Location, pressure_qc_flags, time) float64 ...\n    pressure_ebasmetadata                                           (Location, metadata_time) |S64 ...\n    relative_humidity_qc                                            (Location, relative_humidity_qc_flags, time) float64 ...\n    relative_humidity_ebasmetadata                                  (Location, metadata_time) |S64 ...\n    ...                                                              ...\n    aerosol_light_backscattering_coefficient_amean                  (Wavelength, time) float64 ...\n    aerosol_light_backscattering_coefficient_prec1587               (Wavelength, time) float64 ...\n    aerosol_light_backscattering_coefficient_perc8413               (Wavelength, time) float64 ...\n    aerosol_light_scattering_coefficient_amean                      (Wavelength, time) float64 ...\n    aerosol_light_scattering_coefficient_prec1587                   (Wavelength, time) float64 ...\n    aerosol_light_scattering_coefficient_perc8413                   (Wavelength, time) float64 ...\nAttributes: (12/94)\n    Conventions:                       CF-1.8, ACDD-1.3\n    featureType:                       timeSeries\n    title:                             Ground based in situ observations of n...\n    keywords:                          GAW-WDCA, Birkenes II, NILU, EMEP, NO0...\n    id:                                NO0002R.20100101000000.20230623163936....\n    naming_authority:                  EBAS\n    ...                                ...\n    geospatial_lat_units:              degrees_north\n    geospatial_lon_units:              degrees_east\n    comment:                           {\\n    \"Data definition\": \"EBAS_1.1\",\\...\n    standard_name_vocabulary:          CF-1.7, ACDD-1.3\n    history:                           None\n    creator_url:                       ebas.nilu.no
xarray.Dataset
    • time: 113952
    • tbnds: 2
    • metadata_time: 13
    • Location: 1
    • pressure_qc_flags: 3
    • relative_humidity_qc_flags: 3
    • temperature_qc_flags: 3
    • Wavelength: 3
    • aerosol_light_backscattering_coefficient_amean_qc_flags: 3
    • aerosol_light_backscattering_coefficient_prec1587_qc_flags: 3
    • aerosol_light_backscattering_coefficient_perc8413_qc_flags: 3
    • aerosol_light_scattering_coefficient_amean_qc_flags: 3
    • aerosol_light_scattering_coefficient_prec1587_qc_flags: 3
    • aerosol_light_scattering_coefficient_perc8413_qc_flags: 3
    • time
      (time)
      datetime64[ns]
      2010-01-01T00:30:00 ... 2022-12-...
      standard_name :
      time
      long_name :
      time of measurement
      axis :
      T
      bounds :
      time_bnds
      array(['2010-01-01T00:30:00.000000000', '2010-01-01T01:30:00.000000000',\n       '2010-01-01T02:30:00.000000000', ..., '2022-12-31T21:30:00.000000000',\n       '2022-12-31T22:30:00.000000000', '2022-12-31T23:30:00.000000000'],\n      dtype='datetime64[ns]')
    • metadata_time
      (metadata_time)
      datetime64[ns]
      2010-07-02T12:00:00 ... 2022-07-...
      standard_name :
      time
      long_name :
      time of ebas metadata intervals
      axis :
      T
      bounds :
      metadata_time_bnds
      array(['2010-07-02T12:00:00.000000000', '2011-07-02T12:00:00.000000000',\n       '2012-07-02T00:00:00.000000000', '2013-07-02T12:00:00.000000000',\n       '2014-07-02T12:00:00.000000000', '2015-07-02T12:00:00.000000000',\n       '2016-07-02T00:00:00.000000000', '2017-07-02T12:00:00.000000000',\n       '2018-07-02T12:00:00.000000000', '2019-07-02T12:00:00.000000000',\n       '2020-07-02T00:00:00.000000000', '2021-07-02T12:00:00.000000000',\n       '2022-07-02T12:00:00.000000000'], dtype='datetime64[ns]')
    • Location
      (Location)
      |S64
      b'instrument internal'
      array([b'instrument internal'], dtype='|S64')
    • Wavelength
      (Wavelength)
      float64
      450.0 550.0 700.0
      array([450., 550., 700.])
    • time_bnds
      (time, tbnds)
      datetime64[ns]
      ...
      long_name :
      time bounds for measurement
      [227904 values with dtype=datetime64[ns]]
    • metadata_time_bnds
      (metadata_time, tbnds)
      datetime64[ns]
      ...
      long_name :
      time bounds for ebas metadata intervals
      [26 values with dtype=datetime64[ns]]
    • pressure_qc
      (Location, pressure_qc_flags, time)
      float64
      ...
      standard_name :
      status_flag
      units :
      1
      [341856 values with dtype=float64]
    • pressure_ebasmetadata
      (Location, metadata_time)
      |S64
      ...
      long_name :
      ebas metadata for different time intervals; json encoded
      [13 values with dtype=|S64]
    • relative_humidity_qc
      (Location, relative_humidity_qc_flags, time)
      float64
      ...
      standard_name :
      status_flag
      units :
      1
      [341856 values with dtype=float64]
    • relative_humidity_ebasmetadata
      (Location, metadata_time)
      |S64
      ...
      long_name :
      ebas metadata for different time intervals; json encoded
      [13 values with dtype=|S64]
    • temperature_qc
      (Location, temperature_qc_flags, time)
      float64
      ...
      standard_name :
      status_flag
      units :
      1
      [341856 values with dtype=float64]
    • temperature_ebasmetadata
      (Location, metadata_time)
      |S64
      ...
      long_name :
      ebas metadata for different time intervals; json encoded
      [13 values with dtype=|S64]
    • aerosol_light_backscattering_coefficient_amean_qc
      (Wavelength, aerosol_light_backscattering_coefficient_amean_qc_flags, time)
      float64
      ...
      standard_name :
      status_flag
      units :
      1
      [1025568 values with dtype=float64]
    • aerosol_light_backscattering_coefficient_amean_ebasmetadata
      (Wavelength, metadata_time)
      |S64
      ...
      long_name :
      ebas metadata for different time intervals; json encoded
      [39 values with dtype=|S64]
    • aerosol_light_backscattering_coefficient_prec1587_qc
      (Wavelength, aerosol_light_backscattering_coefficient_prec1587_qc_flags, time)
      float64
      ...
      standard_name :
      status_flag
      units :
      1
      [1025568 values with dtype=float64]
    • aerosol_light_backscattering_coefficient_prec1587_ebasmetadata
      (Wavelength, metadata_time)
      |S64
      ...
      long_name :
      ebas metadata for different time intervals; json encoded
      [39 values with dtype=|S64]
    • aerosol_light_backscattering_coefficient_perc8413_qc
      (Wavelength, aerosol_light_backscattering_coefficient_perc8413_qc_flags, time)
      float64
      ...
      standard_name :
      status_flag
      units :
      1
      [1025568 values with dtype=float64]
    • aerosol_light_backscattering_coefficient_perc8413_ebasmetadata
      (Wavelength, metadata_time)
      |S64
      ...
      long_name :
      ebas metadata for different time intervals; json encoded
      [39 values with dtype=|S64]
    • aerosol_light_scattering_coefficient_amean_qc
      (Wavelength, aerosol_light_scattering_coefficient_amean_qc_flags, time)
      float64
      ...
      standard_name :
      status_flag
      units :
      1
      [1025568 values with dtype=float64]
    • aerosol_light_scattering_coefficient_amean_ebasmetadata
      (Wavelength, metadata_time)
      |S64
      ...
      long_name :
      ebas metadata for different time intervals; json encoded
      [39 values with dtype=|S64]
    • aerosol_light_scattering_coefficient_prec1587_qc
      (Wavelength, aerosol_light_scattering_coefficient_prec1587_qc_flags, time)
      float64
      ...
      standard_name :
      status_flag
      units :
      1
      [1025568 values with dtype=float64]
    • aerosol_light_scattering_coefficient_prec1587_ebasmetadata
      (Wavelength, metadata_time)
      |S64
      ...
      long_name :
      ebas metadata for different time intervals; json encoded
      [39 values with dtype=|S64]
    • aerosol_light_scattering_coefficient_perc8413_qc
      (Wavelength, aerosol_light_scattering_coefficient_perc8413_qc_flags, time)
      float64
      ...
      standard_name :
      status_flag
      units :
      1
      [1025568 values with dtype=float64]
    • aerosol_light_scattering_coefficient_perc8413_ebasmetadata
      (Wavelength, metadata_time)
      |S64
      ...
      long_name :
      ebas metadata for different time intervals; json encoded
      [39 values with dtype=|S64]
    • pressure
      (Location, time)
      float64
      ...
      units :
      hPa
      ancillary_variables :
      pressure_qc pressure_ebasmetadata
      cell_methods :
      time: mean
      ebas_data_license :
      https://creativecommons.org/licenses/by/4.0/
      ebas_revision_date :
      20230623163936
      ebas_statistics :
      arithmetic mean
      ebas_data_level :
      2
      ebas_station_code :
      NO0002R
      ebas_platform_code :
      NO0002S
      ebas_station_name :
      Birkenes II
      ebas_station_wdca_id :
      GAWANO__BIR
      ebas_station_gaw_id :
      BIR
      ebas_station_gaw_name :
      Birkenes Atmospheric Observatory
      ebas_station_other_ids :
      BIR (ICOS), Birkenes (AERONET)
      ebas_station_land_use :
      Forest
      ebas_station_setting :
      Rural
      ebas_station_gaw_type :
      R
      ebas_station_wmo_region :
      6
      ebas_station_latitude :
      58.38853
      ebas_station_longitude :
      8.252
      ebas_station_altitude :
      219.0 m
      ebas_regime :
      IMG
      ebas_component :
      pressure
      ebas_unit :
      hPa
      ebas_matrix :
      instrument
      ebas_laboratory_code :
      NO01L
      ebas_instrument_type :
      nephelometer
      ebas_instrument_name :
      TSI_3563_BIR_dry
      ebas_method_ref :
      NO01L_scat_coef
      ebas_standard_method :
      cal-gas=CO2+AIR_truncation-correction=Anderson1998
      ebas_inlet_type :
      Impactor--direct
      ebas_humidity_temperaure_control :
      Nafion dryer
      ebas_volume_std_temperature :
      273.15 K
      ebas_volume_std_pressure :
      1013.25 hPa
      ebas_organization :
      NO01L, Norwegian Institute for Air Research, NILU, , Instituttveien 18, , 2007, Kjeller, Norway
      ebas_framework_acronym :
      ACTRIS, EMEP, GAW-WDCA, NILU
      ebas_framework_name :
      European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases, European Monitoring and Evaluation Programme, World Data Centre for Aerosols, Norwegian Institute for Air Research
      ebas_framework_description :
      ACTRIS is the European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases. ACTRIS is composed of observing stations, exploratory platforms, instruments calibration centres, and a data centre., The European Monitoring and Evaluation Programme (EMEP) is a scientifically based and policy driven programme under the Convention on Long-range Transboundary Air Pollution (CLRTAP) for int'l co-operation to solve transboundary air pollution problems., The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme., Atmospheric measuremnts produced at NILU.
      ebas_framework_contact_name :
      Cathrine Lund Myhre, Kjetil T\u00f8rseth, Markus Fiebig, Kjetil T\u00f8rseth
      ebas_framework_contact_email :
      clm@nilu.no, kt@nilu.no, Markus.Fiebig@nilu.no, kt@nilu.no
      ebas_originator :
      Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway
      ebas_submitter :
      Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway
      [113952 values with dtype=float64]
    • relative_humidity
      (Location, time)
      float64
      ...
      standard_name :
      relative_humidity
      units :
      %
      ancillary_variables :
      relative_humidity_qc relative_humidity_ebasmetadata
      cell_methods :
      time: mean
      ebas_data_license :
      https://creativecommons.org/licenses/by/4.0/
      ebas_revision_date :
      20230623163936
      ebas_statistics :
      arithmetic mean
      ebas_data_level :
      2
      ebas_station_code :
      NO0002R
      ebas_platform_code :
      NO0002S
      ebas_station_name :
      Birkenes II
      ebas_station_wdca_id :
      GAWANO__BIR
      ebas_station_gaw_id :
      BIR
      ebas_station_gaw_name :
      Birkenes Atmospheric Observatory
      ebas_station_other_ids :
      BIR (ICOS), Birkenes (AERONET)
      ebas_station_land_use :
      Forest
      ebas_station_setting :
      Rural
      ebas_station_gaw_type :
      R
      ebas_station_wmo_region :
      6
      ebas_station_latitude :
      58.38853
      ebas_station_longitude :
      8.252
      ebas_station_altitude :
      219.0 m
      ebas_regime :
      IMG
      ebas_component :
      relative_humidity
      ebas_unit :
      %
      ebas_matrix :
      instrument
      ebas_laboratory_code :
      NO01L
      ebas_instrument_type :
      nephelometer
      ebas_instrument_name :
      TSI_3563_BIR_dry
      ebas_method_ref :
      NO01L_scat_coef
      ebas_standard_method :
      cal-gas=CO2+AIR_truncation-correction=Anderson1998
      ebas_inlet_type :
      Impactor--direct
      ebas_humidity_temperaure_control :
      Nafion dryer
      ebas_volume_std_temperature :
      273.15 K
      ebas_volume_std_pressure :
      1013.25 hPa
      ebas_organization :
      NO01L, Norwegian Institute for Air Research, NILU, , Instituttveien 18, , 2007, Kjeller, Norway
      ebas_framework_acronym :
      ACTRIS, EMEP, GAW-WDCA, NILU
      ebas_framework_name :
      European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases, European Monitoring and Evaluation Programme, World Data Centre for Aerosols, Norwegian Institute for Air Research
      ebas_framework_description :
      ACTRIS is the European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases. ACTRIS is composed of observing stations, exploratory platforms, instruments calibration centres, and a data centre., The European Monitoring and Evaluation Programme (EMEP) is a scientifically based and policy driven programme under the Convention on Long-range Transboundary Air Pollution (CLRTAP) for int'l co-operation to solve transboundary air pollution problems., The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme., Atmospheric measuremnts produced at NILU.
      ebas_framework_contact_name :
      Cathrine Lund Myhre, Kjetil T\u00f8rseth, Markus Fiebig, Kjetil T\u00f8rseth
      ebas_framework_contact_email :
      clm@nilu.no, kt@nilu.no, Markus.Fiebig@nilu.no, kt@nilu.no
      ebas_originator :
      Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway
      ebas_submitter :
      Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway
      [113952 values with dtype=float64]
    • temperature
      (Location, time)
      float64
      ...
      units :
      K
      ancillary_variables :
      temperature_qc temperature_ebasmetadata
      cell_methods :
      time: mean
      ebas_data_license :
      https://creativecommons.org/licenses/by/4.0/
      ebas_revision_date :
      20230623163936
      ebas_statistics :
      arithmetic mean
      ebas_data_level :
      2
      ebas_station_code :
      NO0002R
      ebas_platform_code :
      NO0002S
      ebas_station_name :
      Birkenes II
      ebas_station_wdca_id :
      GAWANO__BIR
      ebas_station_gaw_id :
      BIR
      ebas_station_gaw_name :
      Birkenes Atmospheric Observatory
      ebas_station_other_ids :
      BIR (ICOS), Birkenes (AERONET)
      ebas_station_land_use :
      Forest
      ebas_station_setting :
      Rural
      ebas_station_gaw_type :
      R
      ebas_station_wmo_region :
      6
      ebas_station_latitude :
      58.38853
      ebas_station_longitude :
      8.252
      ebas_station_altitude :
      219.0 m
      ebas_regime :
      IMG
      ebas_component :
      temperature
      ebas_unit :
      K
      ebas_matrix :
      instrument
      ebas_laboratory_code :
      NO01L
      ebas_instrument_type :
      nephelometer
      ebas_instrument_name :
      TSI_3563_BIR_dry
      ebas_method_ref :
      NO01L_scat_coef
      ebas_standard_method :
      cal-gas=CO2+AIR_truncation-correction=Anderson1998
      ebas_inlet_type :
      Impactor--direct
      ebas_humidity_temperaure_control :
      Nafion dryer
      ebas_volume_std_temperature :
      273.15 K
      ebas_volume_std_pressure :
      1013.25 hPa
      ebas_organization :
      NO01L, Norwegian Institute for Air Research, NILU, , Instituttveien 18, , 2007, Kjeller, Norway
      ebas_framework_acronym :
      ACTRIS, EMEP, GAW-WDCA, NILU
      ebas_framework_name :
      European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases, European Monitoring and Evaluation Programme, World Data Centre for Aerosols, Norwegian Institute for Air Research
      ebas_framework_description :
      ACTRIS is the European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases. ACTRIS is composed of observing stations, exploratory platforms, instruments calibration centres, and a data centre., The European Monitoring and Evaluation Programme (EMEP) is a scientifically based and policy driven programme under the Convention on Long-range Transboundary Air Pollution (CLRTAP) for int'l co-operation to solve transboundary air pollution problems., The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme., Atmospheric measuremnts produced at NILU.
      ebas_framework_contact_name :
      Cathrine Lund Myhre, Kjetil T\u00f8rseth, Markus Fiebig, Kjetil T\u00f8rseth
      ebas_framework_contact_email :
      clm@nilu.no, kt@nilu.no, Markus.Fiebig@nilu.no, kt@nilu.no
      ebas_originator :
      Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway
      ebas_submitter :
      Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway
      [113952 values with dtype=float64]
    • aerosol_light_backscattering_coefficient_amean
      (Wavelength, time)
      float64
      ...
      units :
      1/Mm
      ancillary_variables :
      aerosol_light_backscattering_coefficient_amean_qc aerosol_light_backscattering_coefficient_amean_ebasmetadata
      cell_methods :
      time: mean
      ebas_data_license :
      https://creativecommons.org/licenses/by/4.0/
      ebas_revision_date :
      20230623163936
      ebas_statistics :
      arithmetic mean
      ebas_data_level :
      2
      ebas_station_code :
      NO0002R
      ebas_platform_code :
      NO0002S
      ebas_station_name :
      Birkenes II
      ebas_station_wdca_id :
      GAWANO__BIR
      ebas_station_gaw_id :
      BIR
      ebas_station_gaw_name :
      Birkenes Atmospheric Observatory
      ebas_station_other_ids :
      BIR (ICOS), Birkenes (AERONET)
      ebas_station_land_use :
      Forest
      ebas_station_setting :
      Rural
      ebas_station_gaw_type :
      R
      ebas_station_wmo_region :
      6
      ebas_station_latitude :
      58.38853
      ebas_station_longitude :
      8.252
      ebas_station_altitude :
      219.0 m
      ebas_regime :
      IMG
      ebas_component :
      aerosol_light_backscattering_coefficient
      ebas_unit :
      1/Mm
      ebas_matrix :
      pm10
      ebas_laboratory_code :
      NO01L
      ebas_instrument_type :
      nephelometer
      ebas_instrument_name :
      TSI_3563_BIR_dry
      ebas_method_ref :
      NO01L_scat_coef
      ebas_standard_method :
      cal-gas=CO2+AIR_truncation-correction=Anderson1998
      ebas_inlet_type :
      Impactor--direct
      ebas_humidity_temperaure_control :
      Nafion dryer
      ebas_volume_std_temperature :
      273.15 K
      ebas_volume_std_pressure :
      1013.25 hPa
      ebas_organization :
      NO01L, Norwegian Institute for Air Research, NILU, , Instituttveien 18, , 2007, Kjeller, Norway
      ebas_framework_acronym :
      ACTRIS, EMEP, GAW-WDCA, NILU
      ebas_framework_name :
      European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases, European Monitoring and Evaluation Programme, World Data Centre for Aerosols, Norwegian Institute for Air Research
      ebas_framework_description :
      ACTRIS is the European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases. ACTRIS is composed of observing stations, exploratory platforms, instruments calibration centres, and a data centre., The European Monitoring and Evaluation Programme (EMEP) is a scientifically based and policy driven programme under the Convention on Long-range Transboundary Air Pollution (CLRTAP) for int'l co-operation to solve transboundary air pollution problems., The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme., Atmospheric measuremnts produced at NILU.
      ebas_framework_contact_name :
      Cathrine Lund Myhre, Kjetil T\u00f8rseth, Markus Fiebig, Kjetil T\u00f8rseth
      ebas_framework_contact_email :
      clm@nilu.no, kt@nilu.no, Markus.Fiebig@nilu.no, kt@nilu.no
      ebas_originator :
      Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway
      ebas_submitter :
      Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway
      [341856 values with dtype=float64]
    • aerosol_light_backscattering_coefficient_prec1587
      (Wavelength, time)
      float64
      ...
      units :
      1/Mm
      ancillary_variables :
      aerosol_light_backscattering_coefficient_prec1587_qc aerosol_light_backscattering_coefficient_prec1587_ebasmetadata
      cell_methods :
      time: percentile:15.87
      ebas_data_license :
      https://creativecommons.org/licenses/by/4.0/
      ebas_revision_date :
      20230623163936
      ebas_statistics :
      percentile:15.87
      ebas_data_level :
      2
      ebas_station_code :
      NO0002R
      ebas_platform_code :
      NO0002S
      ebas_station_name :
      Birkenes II
      ebas_station_wdca_id :
      GAWANO__BIR
      ebas_station_gaw_id :
      BIR
      ebas_station_gaw_name :
      Birkenes Atmospheric Observatory
      ebas_station_other_ids :
      BIR (ICOS), Birkenes (AERONET)
      ebas_station_land_use :
      Forest
      ebas_station_setting :
      Rural
      ebas_station_gaw_type :
      R
      ebas_station_wmo_region :
      6
      ebas_station_latitude :
      58.38853
      ebas_station_longitude :
      8.252
      ebas_station_altitude :
      219.0 m
      ebas_regime :
      IMG
      ebas_component :
      aerosol_light_backscattering_coefficient
      ebas_unit :
      1/Mm
      ebas_matrix :
      pm10
      ebas_laboratory_code :
      NO01L
      ebas_instrument_type :
      nephelometer
      ebas_instrument_name :
      TSI_3563_BIR_dry
      ebas_method_ref :
      NO01L_scat_coef
      ebas_standard_method :
      cal-gas=CO2+AIR_truncation-correction=Anderson1998
      ebas_inlet_type :
      Impactor--direct
      ebas_humidity_temperaure_control :
      Nafion dryer
      ebas_volume_std_temperature :
      273.15 K
      ebas_volume_std_pressure :
      1013.25 hPa
      ebas_organization :
      NO01L, Norwegian Institute for Air Research, NILU, , Instituttveien 18, , 2007, Kjeller, Norway
      ebas_framework_acronym :
      ACTRIS, EMEP, GAW-WDCA, NILU
      ebas_framework_name :
      European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases, European Monitoring and Evaluation Programme, World Data Centre for Aerosols, Norwegian Institute for Air Research
      ebas_framework_description :
      ACTRIS is the European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases. ACTRIS is composed of observing stations, exploratory platforms, instruments calibration centres, and a data centre., The European Monitoring and Evaluation Programme (EMEP) is a scientifically based and policy driven programme under the Convention on Long-range Transboundary Air Pollution (CLRTAP) for int'l co-operation to solve transboundary air pollution problems., The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme., Atmospheric measuremnts produced at NILU.
      ebas_framework_contact_name :
      Cathrine Lund Myhre, Kjetil T\u00f8rseth, Markus Fiebig, Kjetil T\u00f8rseth
      ebas_framework_contact_email :
      clm@nilu.no, kt@nilu.no, Markus.Fiebig@nilu.no, kt@nilu.no
      ebas_originator :
      Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway
      ebas_submitter :
      Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway
      [341856 values with dtype=float64]
    • aerosol_light_backscattering_coefficient_perc8413
      (Wavelength, time)
      float64
      ...
      units :
      1/Mm
      ancillary_variables :
      aerosol_light_backscattering_coefficient_perc8413_qc aerosol_light_backscattering_coefficient_perc8413_ebasmetadata
      cell_methods :
      time: percentile:84.13
      ebas_data_license :
      https://creativecommons.org/licenses/by/4.0/
      ebas_revision_date :
      20230623163936
      ebas_statistics :
      percentile:84.13
      ebas_data_level :
      2
      ebas_station_code :
      NO0002R
      ebas_platform_code :
      NO0002S
      ebas_station_name :
      Birkenes II
      ebas_station_wdca_id :
      GAWANO__BIR
      ebas_station_gaw_id :
      BIR
      ebas_station_gaw_name :
      Birkenes Atmospheric Observatory
      ebas_station_other_ids :
      BIR (ICOS), Birkenes (AERONET)
      ebas_station_land_use :
      Forest
      ebas_station_setting :
      Rural
      ebas_station_gaw_type :
      R
      ebas_station_wmo_region :
      6
      ebas_station_latitude :
      58.38853
      ebas_station_longitude :
      8.252
      ebas_station_altitude :
      219.0 m
      ebas_regime :
      IMG
      ebas_component :
      aerosol_light_backscattering_coefficient
      ebas_unit :
      1/Mm
      ebas_matrix :
      pm10
      ebas_laboratory_code :
      NO01L
      ebas_instrument_type :
      nephelometer
      ebas_instrument_name :
      TSI_3563_BIR_dry
      ebas_method_ref :
      NO01L_scat_coef
      ebas_standard_method :
      cal-gas=CO2+AIR_truncation-correction=Anderson1998
      ebas_inlet_type :
      Impactor--direct
      ebas_humidity_temperaure_control :
      Nafion dryer
      ebas_volume_std_temperature :
      273.15 K
      ebas_volume_std_pressure :
      1013.25 hPa
      ebas_organization :
      NO01L, Norwegian Institute for Air Research, NILU, , Instituttveien 18, , 2007, Kjeller, Norway
      ebas_framework_acronym :
      ACTRIS, EMEP, GAW-WDCA, NILU
      ebas_framework_name :
      European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases, European Monitoring and Evaluation Programme, World Data Centre for Aerosols, Norwegian Institute for Air Research
      ebas_framework_description :
      ACTRIS is the European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases. ACTRIS is composed of observing stations, exploratory platforms, instruments calibration centres, and a data centre., The European Monitoring and Evaluation Programme (EMEP) is a scientifically based and policy driven programme under the Convention on Long-range Transboundary Air Pollution (CLRTAP) for int'l co-operation to solve transboundary air pollution problems., The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme., Atmospheric measuremnts produced at NILU.
      ebas_framework_contact_name :
      Cathrine Lund Myhre, Kjetil T\u00f8rseth, Markus Fiebig, Kjetil T\u00f8rseth
      ebas_framework_contact_email :
      clm@nilu.no, kt@nilu.no, Markus.Fiebig@nilu.no, kt@nilu.no
      ebas_originator :
      Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway
      ebas_submitter :
      Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway
      [341856 values with dtype=float64]
    • aerosol_light_scattering_coefficient_amean
      (Wavelength, time)
      float64
      ...
      units :
      1/Mm
      ancillary_variables :
      aerosol_light_scattering_coefficient_amean_qc aerosol_light_scattering_coefficient_amean_ebasmetadata
      cell_methods :
      time: mean
      ebas_data_license :
      https://creativecommons.org/licenses/by/4.0/
      ebas_revision_date :
      20230623163936
      ebas_statistics :
      arithmetic mean
      ebas_data_level :
      2
      ebas_station_code :
      NO0002R
      ebas_platform_code :
      NO0002S
      ebas_station_name :
      Birkenes II
      ebas_station_wdca_id :
      GAWANO__BIR
      ebas_station_gaw_id :
      BIR
      ebas_station_gaw_name :
      Birkenes Atmospheric Observatory
      ebas_station_other_ids :
      BIR (ICOS), Birkenes (AERONET)
      ebas_station_land_use :
      Forest
      ebas_station_setting :
      Rural
      ebas_station_gaw_type :
      R
      ebas_station_wmo_region :
      6
      ebas_station_latitude :
      58.38853
      ebas_station_longitude :
      8.252
      ebas_station_altitude :
      219.0 m
      ebas_regime :
      IMG
      ebas_component :
      aerosol_light_scattering_coefficient
      ebas_unit :
      1/Mm
      ebas_matrix :
      pm10
      ebas_laboratory_code :
      NO01L
      ebas_instrument_type :
      nephelometer
      ebas_instrument_name :
      TSI_3563_BIR_dry
      ebas_method_ref :
      NO01L_scat_coef
      ebas_standard_method :
      cal-gas=CO2+AIR_truncation-correction=Anderson1998
      ebas_inlet_type :
      Impactor--direct
      ebas_humidity_temperaure_control :
      Nafion dryer
      ebas_volume_std_temperature :
      273.15 K
      ebas_volume_std_pressure :
      1013.25 hPa
      ebas_organization :
      NO01L, Norwegian Institute for Air Research, NILU, , Instituttveien 18, , 2007, Kjeller, Norway
      ebas_framework_acronym :
      ACTRIS, EMEP, GAW-WDCA, NILU
      ebas_framework_name :
      European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases, European Monitoring and Evaluation Programme, World Data Centre for Aerosols, Norwegian Institute for Air Research
      ebas_framework_description :
      ACTRIS is the European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases. ACTRIS is composed of observing stations, exploratory platforms, instruments calibration centres, and a data centre., The European Monitoring and Evaluation Programme (EMEP) is a scientifically based and policy driven programme under the Convention on Long-range Transboundary Air Pollution (CLRTAP) for int'l co-operation to solve transboundary air pollution problems., The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme., Atmospheric measuremnts produced at NILU.
      ebas_framework_contact_name :
      Cathrine Lund Myhre, Kjetil T\u00f8rseth, Markus Fiebig, Kjetil T\u00f8rseth
      ebas_framework_contact_email :
      clm@nilu.no, kt@nilu.no, Markus.Fiebig@nilu.no, kt@nilu.no
      ebas_originator :
      Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway
      ebas_submitter :
      Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway
      [341856 values with dtype=float64]
    • aerosol_light_scattering_coefficient_prec1587
      (Wavelength, time)
      float64
      ...
      units :
      1/Mm
      ancillary_variables :
      aerosol_light_scattering_coefficient_prec1587_qc aerosol_light_scattering_coefficient_prec1587_ebasmetadata
      cell_methods :
      time: percentile:15.87
      ebas_data_license :
      https://creativecommons.org/licenses/by/4.0/
      ebas_revision_date :
      20230623163936
      ebas_statistics :
      percentile:15.87
      ebas_data_level :
      2
      ebas_station_code :
      NO0002R
      ebas_platform_code :
      NO0002S
      ebas_station_name :
      Birkenes II
      ebas_station_wdca_id :
      GAWANO__BIR
      ebas_station_gaw_id :
      BIR
      ebas_station_gaw_name :
      Birkenes Atmospheric Observatory
      ebas_station_other_ids :
      BIR (ICOS), Birkenes (AERONET)
      ebas_station_land_use :
      Forest
      ebas_station_setting :
      Rural
      ebas_station_gaw_type :
      R
      ebas_station_wmo_region :
      6
      ebas_station_latitude :
      58.38853
      ebas_station_longitude :
      8.252
      ebas_station_altitude :
      219.0 m
      ebas_regime :
      IMG
      ebas_component :
      aerosol_light_scattering_coefficient
      ebas_unit :
      1/Mm
      ebas_matrix :
      pm10
      ebas_laboratory_code :
      NO01L
      ebas_instrument_type :
      nephelometer
      ebas_instrument_name :
      TSI_3563_BIR_dry
      ebas_method_ref :
      NO01L_scat_coef
      ebas_standard_method :
      cal-gas=CO2+AIR_truncation-correction=Anderson1998
      ebas_inlet_type :
      Impactor--direct
      ebas_humidity_temperaure_control :
      Nafion dryer
      ebas_volume_std_temperature :
      273.15 K
      ebas_volume_std_pressure :
      1013.25 hPa
      ebas_organization :
      NO01L, Norwegian Institute for Air Research, NILU, , Instituttveien 18, , 2007, Kjeller, Norway
      ebas_framework_acronym :
      ACTRIS, EMEP, GAW-WDCA, NILU
      ebas_framework_name :
      European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases, European Monitoring and Evaluation Programme, World Data Centre for Aerosols, Norwegian Institute for Air Research
      ebas_framework_description :
      ACTRIS is the European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases. ACTRIS is composed of observing stations, exploratory platforms, instruments calibration centres, and a data centre., The European Monitoring and Evaluation Programme (EMEP) is a scientifically based and policy driven programme under the Convention on Long-range Transboundary Air Pollution (CLRTAP) for int'l co-operation to solve transboundary air pollution problems., The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme., Atmospheric measuremnts produced at NILU.
      ebas_framework_contact_name :
      Cathrine Lund Myhre, Kjetil T\u00f8rseth, Markus Fiebig, Kjetil T\u00f8rseth
      ebas_framework_contact_email :
      clm@nilu.no, kt@nilu.no, Markus.Fiebig@nilu.no, kt@nilu.no
      ebas_originator :
      Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway
      ebas_submitter :
      Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway
      [341856 values with dtype=float64]
    • aerosol_light_scattering_coefficient_perc8413
      (Wavelength, time)
      float64
      ...
      units :
      1/Mm
      ancillary_variables :
      aerosol_light_scattering_coefficient_perc8413_qc aerosol_light_scattering_coefficient_perc8413_ebasmetadata
      cell_methods :
      time: percentile:84.13
      ebas_data_license :
      https://creativecommons.org/licenses/by/4.0/
      ebas_revision_date :
      20230623163936
      ebas_statistics :
      percentile:84.13
      ebas_data_level :
      2
      ebas_station_code :
      NO0002R
      ebas_platform_code :
      NO0002S
      ebas_station_name :
      Birkenes II
      ebas_station_wdca_id :
      GAWANO__BIR
      ebas_station_gaw_id :
      BIR
      ebas_station_gaw_name :
      Birkenes Atmospheric Observatory
      ebas_station_other_ids :
      BIR (ICOS), Birkenes (AERONET)
      ebas_station_land_use :
      Forest
      ebas_station_setting :
      Rural
      ebas_station_gaw_type :
      R
      ebas_station_wmo_region :
      6
      ebas_station_latitude :
      58.38853
      ebas_station_longitude :
      8.252
      ebas_station_altitude :
      219.0 m
      ebas_regime :
      IMG
      ebas_component :
      aerosol_light_scattering_coefficient
      ebas_unit :
      1/Mm
      ebas_matrix :
      pm10
      ebas_laboratory_code :
      NO01L
      ebas_instrument_type :
      nephelometer
      ebas_instrument_name :
      TSI_3563_BIR_dry
      ebas_method_ref :
      NO01L_scat_coef
      ebas_standard_method :
      cal-gas=CO2+AIR_truncation-correction=Anderson1998
      ebas_inlet_type :
      Impactor--direct
      ebas_humidity_temperaure_control :
      Nafion dryer
      ebas_volume_std_temperature :
      273.15 K
      ebas_volume_std_pressure :
      1013.25 hPa
      ebas_organization :
      NO01L, Norwegian Institute for Air Research, NILU, , Instituttveien 18, , 2007, Kjeller, Norway
      ebas_framework_acronym :
      ACTRIS, EMEP, GAW-WDCA, NILU
      ebas_framework_name :
      European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases, European Monitoring and Evaluation Programme, World Data Centre for Aerosols, Norwegian Institute for Air Research
      ebas_framework_description :
      ACTRIS is the European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases. ACTRIS is composed of observing stations, exploratory platforms, instruments calibration centres, and a data centre., The European Monitoring and Evaluation Programme (EMEP) is a scientifically based and policy driven programme under the Convention on Long-range Transboundary Air Pollution (CLRTAP) for int'l co-operation to solve transboundary air pollution problems., The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme., Atmospheric measuremnts produced at NILU.
      ebas_framework_contact_name :
      Cathrine Lund Myhre, Kjetil T\u00f8rseth, Markus Fiebig, Kjetil T\u00f8rseth
      ebas_framework_contact_email :
      clm@nilu.no, kt@nilu.no, Markus.Fiebig@nilu.no, kt@nilu.no
      ebas_originator :
      Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway
      ebas_submitter :
      Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway
      [341856 values with dtype=float64]
    • time
      PandasIndex
      PandasIndex(DatetimeIndex(['2010-01-01 00:30:00', '2010-01-01 01:30:00',\n               '2010-01-01 02:30:00', '2010-01-01 03:30:00',\n               '2010-01-01 04:30:00', '2010-01-01 05:30:00',\n               '2010-01-01 06:30:00', '2010-01-01 07:30:00',\n               '2010-01-01 08:30:00', '2010-01-01 09:30:00',\n               ...\n               '2022-12-31 14:30:00', '2022-12-31 15:30:00',\n               '2022-12-31 16:30:00', '2022-12-31 17:30:00',\n               '2022-12-31 18:30:00', '2022-12-31 19:30:00',\n               '2022-12-31 20:30:00', '2022-12-31 21:30:00',\n               '2022-12-31 22:30:00', '2022-12-31 23:30:00'],\n              dtype='datetime64[ns]', name='time', length=113952, freq=None))
    • metadata_time
      PandasIndex
      PandasIndex(DatetimeIndex(['2010-07-02 12:00:00', '2011-07-02 12:00:00',\n               '2012-07-02 00:00:00', '2013-07-02 12:00:00',\n               '2014-07-02 12:00:00', '2015-07-02 12:00:00',\n               '2016-07-02 00:00:00', '2017-07-02 12:00:00',\n               '2018-07-02 12:00:00', '2019-07-02 12:00:00',\n               '2020-07-02 00:00:00', '2021-07-02 12:00:00',\n               '2022-07-02 12:00:00'],\n              dtype='datetime64[ns]', name='metadata_time', freq=None))
    • Location
      PandasIndex
      PandasIndex(Index([b'instrument internal'], dtype='object', name='Location'))
    • Wavelength
      PandasIndex
      PandasIndex(Index([450.0, 550.0, 700.0], dtype='float64', name='Wavelength'))
  • Conventions :
    CF-1.8, ACDD-1.3
    featureType :
    timeSeries
    title :
    Ground based in situ observations of nephelometer at Birkenes II (NO0002R)
    keywords :
    GAW-WDCA, Birkenes II, NILU, EMEP, NO0002R, aerosol_light_scattering_coefficient, ACTRIS, pm10, aerosol_light_backscattering_coefficient
    id :
    NO0002R.20100101000000.20230623163936.nephelometer...13y.1h.NO01L_TSI_3563_BIR_dry.NO01L_scat_coef.lev2.nc
    naming_authority :
    EBAS
    project :
    ACTRIS, EMEP, GAW-WDCA, NILU
    acknowledgement :
    Request acknowledgement details from data originator
    license :
    https://creativecommons.org/licenses/by/4.0/
    citation :
    Markus Fiebig, Chris Lunder, aerosol_light_backscattering_coefficient, aerosol_light_scattering_coefficient - nephelometer at Birkenes II, data hosted by EBAS at NILU
    summary :
    Ground based in situ observations of nephelometer at Birkenes II (NO0002R). These measurements are gathered as a part of the following projects ACTRIS, EMEP, GAW-WDCA, NILU and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: aerosol_light_backscattering_coefficient in pm10, aerosol_light_backscattering_coefficient in pm10, aerosol_light_backscattering_coefficient in pm10, aerosol_light_scattering_coefficient in pm10, aerosol_light_scattering_coefficient in pm10, aerosol_light_scattering_coefficient in pm10
    source :
    surface observation
    institution :
    NO01L, Norwegian Institute for Air Research, NILU, Instituttveien 18, 2007, Kjeller, Norway
    processing_level :
    processing_level_test
    date_created :
    2023-06-23T16:39:36 UTC
    date_metadata_modified :
    2023-06-23T16:39:36 UTC
    creator_name :
    Markus Fiebig, Chris Lunder
    creator_type :
    person
    creator_email :
    Markus.Fiebig@nilu.no, crl@nilu.no
    creator_institution :
    \"Norwegian Institute for Air Research, Atmosphere and Climate Department, NILU\", \"Norwegian Institute for Air Research, Atmosphere and Climate Department, NILU\"
    contributor_name :
    Markus Fiebig, Are B\u00e4cklund, Chris Lunder
    contributor_role :
    data submitter, data submitter, data submitter
    publisher_type :
    institution
    publisher_name :
    NILU - Norwegian Institute for Air Research, ATMOS, EBAS
    publisher_institution :
    NILU - Norwegian Institute for Air Research, ATMOS, EBAS
    publisher_email :
    ebas@nilu.no
    publisher_url :
    https://www.nilu.no/
    geospatial_bounds :
    POINT Z (58.38853 8.252 219.0)
    geospatial_bounds_crs :
    EPSG:4979
    geospatial_lat_min :
    58.38853
    geospatial_lat_max :
    58.38853
    geospatial_lon_min :
    8.252
    geospatial_lon_max :
    8.252
    geospatial_vertical_min :
    219.0
    geospatial_vertical_max :
    219.0
    geospatial_vertical_positive :
    up
    time_coverage_start :
    2010-01-01T00:00:00 UTC
    time_coverage_end :
    2023-01-01T00:00:00 UTC
    time_coverage_duration :
    P0013-00-00T00:00:00
    time_coverage_resolution :
    P0000-00-00T01:00:00
    timezone :
    UTC
    ebas_data_definition :
    EBAS_1.1
    ebas_data_license :
    https://creativecommons.org/licenses/by/4.0/
    ebas_citation :
    Markus Fiebig, Chris Lunder, aerosol_light_backscattering_coefficient, aerosol_light_scattering_coefficient - nephelometer at Birkenes II, data hosted by EBAS at NILU
    ebas_set_type_code :
    TU
    ebas_timezone :
    UTC
    ebas_file_name :
    NO0002R.20100101000000.20230623163936.nephelometer...13y.1h.NO01L_TSI_3563_BIR_dry.NO01L_scat_coef.lev2.nc
    ebas_file_creation :
    2023-06-23T22:34:32.097758 UTC
    ebas_export_state :
    2023-06-23T22:25:04.176928 UTC
    ebas_export_filter :
    exclude-900,exclude-invalid
    ebas_startdate :
    20100101000000
    ebas_revision_date :
    20230623163936
    ebas_data_level :
    2
    ebas_period_code :
    13y
    ebas_resolution_code :
    1h
    ebas_station_code :
    NO0002R
    ebas_platform_code :
    NO0002S
    ebas_station_name :
    Birkenes II
    ebas_station_wdca_id :
    GAWANO__BIR
    ebas_station_gaw_id :
    BIR
    ebas_station_gaw_name :
    Birkenes Atmospheric Observatory
    ebas_station_other_ids :
    BIR (ICOS), Birkenes (AERONET)
    ebas_station_land_use :
    Forest
    ebas_station_setting :
    Rural
    ebas_station_gaw_type :
    R
    ebas_station_wmo_region :
    6
    ebas_station_latitude :
    58.38853
    ebas_station_longitude :
    8.252
    ebas_station_altitude :
    219.0 m
    ebas_regime :
    IMG
    ebas_laboratory_code :
    NO01L
    ebas_instrument_type :
    nephelometer
    ebas_instrument_name :
    TSI_3563_BIR_dry
    ebas_method_ref :
    NO01L_scat_coef
    ebas_standard_method :
    cal-gas=CO2+AIR_truncation-correction=Anderson1998
    ebas_inlet_type :
    Impactor--direct
    ebas_humidity_temperaure_control :
    Nafion dryer
    ebas_volume_std_temperature :
    273.15 K
    ebas_volume_std_pressure :
    1013.25 hPa
    ebas_organization :
    NO01L, Norwegian Institute for Air Research, NILU, , Instituttveien 18, , 2007, Kjeller, Norway
    ebas_framework_acronym :
    ACTRIS, EMEP, GAW-WDCA, NILU
    ebas_framework_name :
    European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases, European Monitoring and Evaluation Programme, World Data Centre for Aerosols, Norwegian Institute for Air Research
    ebas_framework_description :
    ACTRIS is the European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases. ACTRIS is composed of observing stations, exploratory platforms, instruments calibration centres, and a data centre., The European Monitoring and Evaluation Programme (EMEP) is a scientifically based and policy driven programme under the Convention on Long-range Transboundary Air Pollution (CLRTAP) for int'l co-operation to solve transboundary air pollution problems., The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme., Atmospheric measuremnts produced at NILU.
    ebas_framework_contact_name :
    Cathrine Lund Myhre, Kjetil T\u00f8rseth, Markus Fiebig, Kjetil T\u00f8rseth
    ebas_framework_contact_email :
    clm@nilu.no, kt@nilu.no, Markus.Fiebig@nilu.no, kt@nilu.no
    ebas_originator :
    Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway
    ebas_submitter :
    Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway
    Metadata_Conventions :
    Unidata Dataset Discovery v1.0
    geospatial_lat_units :
    degrees_north
    geospatial_lon_units :
    degrees_east
    comment :
    {\n \"Data definition\": \"EBAS_1.1\",\n \"Data license\": \"https://creativecommons.org/licenses/by/4.0/\",\n \"Citation\": \"Markus Fiebig, Chris Lunder, aerosol_light_backscattering_coefficient, aerosol_light_scattering_coefficient - nephelometer at Birkenes II, data hosted by EBAS at NILU\",\n \"Set type code\": \"TU\",\n \"Timezone\": \"UTC\",\n \"File name\": \"NO0002R.20100101000000.20230623163936.nephelometer...13y.1h.NO01L_TSI_3563_BIR_dry.NO01L_scat_coef.lev2.nc\",\n \"File creation\": \"2023-06-23T22:34:32.097758 UTC\",\n \"Export state\": \"2023-06-23T22:25:04.176928 UTC\",\n \"Export filter\": \"exclude-900,exclude-invalid\",\n \"Startdate\": \"20100101000000\",\n \"Revision date\": \"20230623163936\",\n \"Data level\": \"2\",\n \"Period code\": \"13y\",\n \"Resolution code\": \"1h\",\n \"Station code\": \"NO0002R\",\n \"Platform code\": \"NO0002S\",\n \"Station name\": \"Birkenes II\",\n \"Station WDCA-ID\": \"GAWANO__BIR\",\n \"Station GAW-ID\": \"BIR\",\n \"Station GAW-Name\": \"Birkenes Atmospheric Observatory\",\n \"Station other IDs\": \"BIR (ICOS), Birkenes (AERONET)\",\n \"Station land use\": \"Forest\",\n \"Station setting\": \"Rural\",\n \"Station GAW type\": \"R\",\n \"Station WMO region\": \"6\",\n \"Station latitude\": \"58.38853\",\n \"Station longitude\": \"8.252\",\n \"Station altitude\": \"219.0 m\",\n \"Regime\": \"IMG\",\n \"Laboratory code\": \"NO01L\",\n \"Instrument type\": \"nephelometer\",\n \"Instrument name\": \"TSI_3563_BIR_dry\",\n \"Method ref\": \"NO01L_scat_coef\",\n \"Standard method\": \"cal-gas=CO2+AIR_truncation-correction=Anderson1998\",\n \"Inlet type\": \"Impactor--direct\",\n \"Humidity/temperature control\": \"Nafion dryer\",\n \"Volume std. temperature\": \"273.15 K\",\n \"Volume std. pressure\": \"1013.25 hPa\",\n \"Organization\": \"NO01L, Norwegian Institute for Air Research, NILU, , Instituttveien 18, , 2007, Kjeller, Norway\",\n \"Framework acronym\": \"ACTRIS, EMEP, GAW-WDCA, NILU\",\n \"Framework name\": \"European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases, European Monitoring and Evaluation Programme, World Data Centre for Aerosols, Norwegian Institute for Air Research\",\n \"Framework description\": \"ACTRIS is the European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases. ACTRIS is composed of observing stations, exploratory platforms, instruments calibration centres, and a data centre., The European Monitoring and Evaluation Programme (EMEP) is a scientifically based and policy driven programme under the Convention on Long-range Transboundary Air Pollution (CLRTAP) for int'l co-operation to solve transboundary air pollution problems., The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme., Atmospheric measuremnts produced at NILU.\",\n \"Framework contact name\": \"Cathrine Lund Myhre, Kjetil T\u00f8rseth, Markus Fiebig, Kjetil T\u00f8rseth\",\n \"Framework contact email\": \"clm@nilu.no, kt@nilu.no, Markus.Fiebig@nilu.no, kt@nilu.no\",\n \"Originator\": \"Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway\",\n \"Submitter\": \"Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway\"\n}
    standard_name_vocabulary :
    CF-1.7, ACDD-1.3
    history :
    None
    creator_url :
    ebas.nilu.no
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
In\u00a0[\u00a0]:
\n
\n
\n
phot_ds\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
Out[\u00a0]:
\n
\n
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
<xarray.Dataset>\nDimensions:                                               (time: 52560,\n                                                           tbnds: 2,\n                                                           metadata_time: 6,\n                                                           Wavelength: 3,\n                                                           aerosol_absorption_coefficient_amean_qc_flags: 3,\n                                                           aerosol_absorption_coefficient_prec1587_qc_flags: 3,\n                                                           aerosol_absorption_coefficient_perc8413_qc_flags: 3)\nCoordinates:\n  * time                                                  (time) datetime64[ns] ...\n  * metadata_time                                         (metadata_time) datetime64[ns] ...\n  * Wavelength                                            (Wavelength) float64 ...\nDimensions without coordinates: tbnds,\n                                aerosol_absorption_coefficient_amean_qc_flags,\n                                aerosol_absorption_coefficient_prec1587_qc_flags,\n                                aerosol_absorption_coefficient_perc8413_qc_flags\nData variables:\n    time_bnds                                             (time, tbnds) datetime64[ns] ...\n    metadata_time_bnds                                    (metadata_time, tbnds) datetime64[ns] ...\n    aerosol_absorption_coefficient_amean_qc               (Wavelength, aerosol_absorption_coefficient_amean_qc_flags, time) float64 ...\n    aerosol_absorption_coefficient_amean_ebasmetadata     (Wavelength, metadata_time) |S64 ...\n    aerosol_absorption_coefficient_prec1587_qc            (Wavelength, aerosol_absorption_coefficient_prec1587_qc_flags, time) float64 ...\n    aerosol_absorption_coefficient_prec1587_ebasmetadata  (Wavelength, metadata_time) |S64 ...\n    aerosol_absorption_coefficient_perc8413_qc            (Wavelength, aerosol_absorption_coefficient_perc8413_qc_flags, time) float64 ...\n    aerosol_absorption_coefficient_perc8413_ebasmetadata  (Wavelength, metadata_time) |S64 ...\n    aerosol_absorption_coefficient_amean                  (Wavelength, time) float64 ...\n    aerosol_absorption_coefficient_prec1587               (Wavelength, time) float64 ...\n    aerosol_absorption_coefficient_perc8413               (Wavelength, time) float64 ...\nAttributes: (12/115)\n    Conventions:                                   CF-1.8, ACDD-1.3\n    featureType:                                   timeSeries\n    title:                                         Ground based in situ obser...\n    keywords:                                      NO0002R, EMEP, aerosol_abs...\n    id:                                            NO0002R.20170101000000.202...\n    naming_authority:                              EBAS\n    ...                                            ...\n    geospatial_lat_units:                          degrees_north\n    geospatial_lon_units:                          degrees_east\n    comment:                                       {\\n    \"Data definition\": ...\n    standard_name_vocabulary:                      CF-1.7, ACDD-1.3\n    history:                                       None\n    creator_url:                                   ebas.nilu.no
xarray.Dataset
    • time: 52560
    • tbnds: 2
    • metadata_time: 6
    • Wavelength: 3
    • aerosol_absorption_coefficient_amean_qc_flags: 3
    • aerosol_absorption_coefficient_prec1587_qc_flags: 3
    • aerosol_absorption_coefficient_perc8413_qc_flags: 3
    • time
      (time)
      datetime64[ns]
      2017-01-01T00:30:00 ... 2022-12-...
      standard_name :
      time
      long_name :
      time of measurement
      axis :
      T
      bounds :
      time_bnds
      array(['2017-01-01T00:30:00.000000000', '2017-01-01T01:30:00.000000000',\n       '2017-01-01T02:30:00.000000000', ..., '2022-12-31T21:30:00.000000000',\n       '2022-12-31T22:30:00.000000000', '2022-12-31T23:30:00.000000000'],\n      dtype='datetime64[ns]')
    • metadata_time
      (metadata_time)
      datetime64[ns]
      2017-07-02T12:00:00 ... 2022-07-...
      standard_name :
      time
      long_name :
      time of ebas metadata intervals
      axis :
      T
      bounds :
      metadata_time_bnds
      array(['2017-07-02T12:00:00.000000000', '2018-07-02T12:00:00.000000000',\n       '2019-07-02T12:00:00.000000000', '2020-07-02T00:00:00.000000000',\n       '2021-07-03T00:00:00.000000000', '2022-07-02T12:00:00.000000000'],\n      dtype='datetime64[ns]')
    • Wavelength
      (Wavelength)
      float64
      470.0 522.0 660.0
      array([470., 522., 660.])
    • time_bnds
      (time, tbnds)
      datetime64[ns]
      ...
      long_name :
      time bounds for measurement
      [105120 values with dtype=datetime64[ns]]
    • metadata_time_bnds
      (metadata_time, tbnds)
      datetime64[ns]
      ...
      long_name :
      time bounds for ebas metadata intervals
      [12 values with dtype=datetime64[ns]]
    • aerosol_absorption_coefficient_amean_qc
      (Wavelength, aerosol_absorption_coefficient_amean_qc_flags, time)
      float64
      ...
      standard_name :
      status_flag
      units :
      1
      [473040 values with dtype=float64]
    • aerosol_absorption_coefficient_amean_ebasmetadata
      (Wavelength, metadata_time)
      |S64
      ...
      long_name :
      ebas metadata for different time intervals; json encoded
      [18 values with dtype=|S64]
    • aerosol_absorption_coefficient_prec1587_qc
      (Wavelength, aerosol_absorption_coefficient_prec1587_qc_flags, time)
      float64
      ...
      standard_name :
      status_flag
      units :
      1
      [473040 values with dtype=float64]
    • aerosol_absorption_coefficient_prec1587_ebasmetadata
      (Wavelength, metadata_time)
      |S64
      ...
      long_name :
      ebas metadata for different time intervals; json encoded
      [18 values with dtype=|S64]
    • aerosol_absorption_coefficient_perc8413_qc
      (Wavelength, aerosol_absorption_coefficient_perc8413_qc_flags, time)
      float64
      ...
      standard_name :
      status_flag
      units :
      1
      [473040 values with dtype=float64]
    • aerosol_absorption_coefficient_perc8413_ebasmetadata
      (Wavelength, metadata_time)
      |S64
      ...
      long_name :
      ebas metadata for different time intervals; json encoded
      [18 values with dtype=|S64]
    • aerosol_absorption_coefficient_amean
      (Wavelength, time)
      float64
      ...
      units :
      1/Mm
      ancillary_variables :
      aerosol_absorption_coefficient_amean_qc aerosol_absorption_coefficient_amean_ebasmetadata
      cell_methods :
      time: mean
      ebas_data_license :
      https://creativecommons.org/licenses/by/4.0/
      ebas_revision_date :
      20230627082633
      ebas_version :
      1
      ebas_version_description :
      initial revision
      ebas_statistics :
      arithmetic mean
      ebas_data_level :
      2
      ebas_sample_duration :
      1h
      ebas_station_code :
      NO0002R
      ebas_platform_code :
      NO0002S
      ebas_station_name :
      Birkenes II
      ebas_station_wdca_id :
      GAWANO__BIR
      ebas_station_gaw_id :
      BIR
      ebas_station_gaw_name :
      Birkenes Atmospheric Observatory
      ebas_station_other_ids :
      BIR (ICOS), Birkenes (AERONET)
      ebas_station_land_use :
      Forest
      ebas_station_setting :
      Rural
      ebas_station_gaw_type :
      R
      ebas_station_wmo_region :
      6
      ebas_station_latitude :
      58.38853
      ebas_station_longitude :
      8.252
      ebas_station_altitude :
      219.0 m
      ebas_measuremenet_latitude :
      58.38
      ebas_measurement_longitude :
      8.25
      ebas_measurement_altitude :
      220.0 m
      ebas_measurement_height :
      4.0 m
      ebas_regime :
      IMG
      ebas_component :
      aerosol_absorption_coefficient
      ebas_unit :
      1/Mm
      ebas_matrix :
      pm10
      ebas_laboratory_code :
      NO01L
      ebas_instrument_type :
      filter_absorption_photometer
      ebas_instrument_name :
      Radiance-Research_PSAP-3W_BIR_dry
      ebas_instrument_manufacturer :
      Radiance-Research
      ebas_instrument_model :
      PSAP-3W
      ebas_instrument_serial_number :
      0121
      ebas_method_ref :
      NO01L_abs_coef_PSAP_v1
      ebas_standard_method :
      Single-angle_Correction=Bond1999_Ogren2010
      ebas_inlet_type :
      Impactor--direct
      ebas_inlet_description :
      PM10 at ambient humidity inlet, Digitel, flow 140 l/min
      ebas_humidity_temperaure_control :
      None
      ebas_humidity_temperaure_control_description :
      passive, sample heated from atmospheric to lab temperature
      ebas_volume_std_temperature :
      273.15 K
      ebas_volume_std_pressure :
      1013.25 hPa
      ebas_detection_limit :
      0.1 1/Mm
      ebas_detection_limit_expl :
      Determined by instrument noise characteristics, no detection limit flag used
      ebas_measurement_uncertainty_expl :
      typical value of unit-to-unit variability as estimated by Bond et al., 1999.
      ebas_zero_negative_values_code :
      Zero/negative possible
      ebas_zero_negative_values :
      Zero and neg. values may appear due to statistical variations at very low concentrations
      ebas_organization :
      NO01L, Norwegian Institute for Air Research, NILU, , Instituttveien 18, , 2007, Kjeller, Norway
      ebas_framework_acronym :
      ACTRIS, EMEP, GAW-WDCA
      ebas_framework_name :
      European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases, European Monitoring and Evaluation Programme, World Data Centre for Aerosols
      ebas_framework_description :
      ACTRIS is the European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases. ACTRIS is composed of observing stations, exploratory platforms, instruments calibration centres, and a data centre., The European Monitoring and Evaluation Programme (EMEP) is a scientifically based and policy driven programme under the Convention on Long-range Transboundary Air Pollution (CLRTAP) for int'l co-operation to solve transboundary air pollution problems., The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme.
      ebas_framework_contact_name :
      Cathrine Lund Myhre, Kjetil T\u00f8rseth, Markus Fiebig
      ebas_framework_contact_email :
      clm@nilu.no, kt@nilu.no, Markus.Fiebig@nilu.no
      ebas_originator :
      Fiebig, Markus, Markus.Fiebig@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway, ORCID=0000-0002-3380-3470
      ebas_submitter :
      Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway
      ebas_acknowledgement :
      Request acknowledgement details from data originator
      [157680 values with dtype=float64]
    • aerosol_absorption_coefficient_prec1587
      (Wavelength, time)
      float64
      ...
      units :
      1/Mm
      ancillary_variables :
      aerosol_absorption_coefficient_prec1587_qc aerosol_absorption_coefficient_prec1587_ebasmetadata
      cell_methods :
      time: percentile:15.87
      ebas_data_license :
      https://creativecommons.org/licenses/by/4.0/
      ebas_revision_date :
      20230627082633
      ebas_version :
      1
      ebas_version_description :
      initial revision
      ebas_statistics :
      percentile:15.87
      ebas_data_level :
      2
      ebas_sample_duration :
      1h
      ebas_station_code :
      NO0002R
      ebas_platform_code :
      NO0002S
      ebas_station_name :
      Birkenes II
      ebas_station_wdca_id :
      GAWANO__BIR
      ebas_station_gaw_id :
      BIR
      ebas_station_gaw_name :
      Birkenes Atmospheric Observatory
      ebas_station_other_ids :
      BIR (ICOS), Birkenes (AERONET)
      ebas_station_land_use :
      Forest
      ebas_station_setting :
      Rural
      ebas_station_gaw_type :
      R
      ebas_station_wmo_region :
      6
      ebas_station_latitude :
      58.38853
      ebas_station_longitude :
      8.252
      ebas_station_altitude :
      219.0 m
      ebas_measuremenet_latitude :
      58.38
      ebas_measurement_longitude :
      8.25
      ebas_measurement_altitude :
      220.0 m
      ebas_measurement_height :
      4.0 m
      ebas_regime :
      IMG
      ebas_component :
      aerosol_absorption_coefficient
      ebas_unit :
      1/Mm
      ebas_matrix :
      pm10
      ebas_laboratory_code :
      NO01L
      ebas_instrument_type :
      filter_absorption_photometer
      ebas_instrument_name :
      Radiance-Research_PSAP-3W_BIR_dry
      ebas_instrument_manufacturer :
      Radiance-Research
      ebas_instrument_model :
      PSAP-3W
      ebas_instrument_serial_number :
      0121
      ebas_method_ref :
      NO01L_abs_coef_PSAP_v1
      ebas_standard_method :
      Single-angle_Correction=Bond1999_Ogren2010
      ebas_inlet_type :
      Impactor--direct
      ebas_inlet_description :
      PM10 at ambient humidity inlet, Digitel, flow 140 l/min
      ebas_humidity_temperaure_control :
      None
      ebas_humidity_temperaure_control_description :
      passive, sample heated from atmospheric to lab temperature
      ebas_volume_std_temperature :
      273.15 K
      ebas_volume_std_pressure :
      1013.25 hPa
      ebas_detection_limit :
      0.1 1/Mm
      ebas_detection_limit_expl :
      Determined by instrument noise characteristics, no detection limit flag used
      ebas_measurement_uncertainty_expl :
      typical value of unit-to-unit variability as estimated by Bond et al., 1999.
      ebas_zero_negative_values_code :
      Zero/negative possible
      ebas_zero_negative_values :
      Zero and neg. values may appear due to statistical variations at very low concentrations
      ebas_organization :
      NO01L, Norwegian Institute for Air Research, NILU, , Instituttveien 18, , 2007, Kjeller, Norway
      ebas_framework_acronym :
      ACTRIS, EMEP, GAW-WDCA
      ebas_framework_name :
      European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases, European Monitoring and Evaluation Programme, World Data Centre for Aerosols
      ebas_framework_description :
      ACTRIS is the European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases. ACTRIS is composed of observing stations, exploratory platforms, instruments calibration centres, and a data centre., The European Monitoring and Evaluation Programme (EMEP) is a scientifically based and policy driven programme under the Convention on Long-range Transboundary Air Pollution (CLRTAP) for int'l co-operation to solve transboundary air pollution problems., The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme.
      ebas_framework_contact_name :
      Cathrine Lund Myhre, Kjetil T\u00f8rseth, Markus Fiebig
      ebas_framework_contact_email :
      clm@nilu.no, kt@nilu.no, Markus.Fiebig@nilu.no
      ebas_originator :
      Fiebig, Markus, Markus.Fiebig@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway, ORCID=0000-0002-3380-3470
      ebas_submitter :
      Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway
      ebas_acknowledgement :
      Request acknowledgement details from data originator
      [157680 values with dtype=float64]
    • aerosol_absorption_coefficient_perc8413
      (Wavelength, time)
      float64
      ...
      units :
      1/Mm
      ancillary_variables :
      aerosol_absorption_coefficient_perc8413_qc aerosol_absorption_coefficient_perc8413_ebasmetadata
      cell_methods :
      time: percentile:84.13
      ebas_data_license :
      https://creativecommons.org/licenses/by/4.0/
      ebas_revision_date :
      20230627082633
      ebas_version :
      1
      ebas_version_description :
      initial revision
      ebas_statistics :
      percentile:84.13
      ebas_data_level :
      2
      ebas_sample_duration :
      1h
      ebas_station_code :
      NO0002R
      ebas_platform_code :
      NO0002S
      ebas_station_name :
      Birkenes II
      ebas_station_wdca_id :
      GAWANO__BIR
      ebas_station_gaw_id :
      BIR
      ebas_station_gaw_name :
      Birkenes Atmospheric Observatory
      ebas_station_other_ids :
      BIR (ICOS), Birkenes (AERONET)
      ebas_station_land_use :
      Forest
      ebas_station_setting :
      Rural
      ebas_station_gaw_type :
      R
      ebas_station_wmo_region :
      6
      ebas_station_latitude :
      58.38853
      ebas_station_longitude :
      8.252
      ebas_station_altitude :
      219.0 m
      ebas_measuremenet_latitude :
      58.38
      ebas_measurement_longitude :
      8.25
      ebas_measurement_altitude :
      220.0 m
      ebas_measurement_height :
      4.0 m
      ebas_regime :
      IMG
      ebas_component :
      aerosol_absorption_coefficient
      ebas_unit :
      1/Mm
      ebas_matrix :
      pm10
      ebas_laboratory_code :
      NO01L
      ebas_instrument_type :
      filter_absorption_photometer
      ebas_instrument_name :
      Radiance-Research_PSAP-3W_BIR_dry
      ebas_instrument_manufacturer :
      Radiance-Research
      ebas_instrument_model :
      PSAP-3W
      ebas_instrument_serial_number :
      0121
      ebas_method_ref :
      NO01L_abs_coef_PSAP_v1
      ebas_standard_method :
      Single-angle_Correction=Bond1999_Ogren2010
      ebas_inlet_type :
      Impactor--direct
      ebas_inlet_description :
      PM10 at ambient humidity inlet, Digitel, flow 140 l/min
      ebas_humidity_temperaure_control :
      None
      ebas_humidity_temperaure_control_description :
      passive, sample heated from atmospheric to lab temperature
      ebas_volume_std_temperature :
      273.15 K
      ebas_volume_std_pressure :
      1013.25 hPa
      ebas_detection_limit :
      0.1 1/Mm
      ebas_detection_limit_expl :
      Determined by instrument noise characteristics, no detection limit flag used
      ebas_measurement_uncertainty_expl :
      typical value of unit-to-unit variability as estimated by Bond et al., 1999.
      ebas_zero_negative_values_code :
      Zero/negative possible
      ebas_zero_negative_values :
      Zero and neg. values may appear due to statistical variations at very low concentrations
      ebas_organization :
      NO01L, Norwegian Institute for Air Research, NILU, , Instituttveien 18, , 2007, Kjeller, Norway
      ebas_framework_acronym :
      ACTRIS, EMEP, GAW-WDCA
      ebas_framework_name :
      European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases, European Monitoring and Evaluation Programme, World Data Centre for Aerosols
      ebas_framework_description :
      ACTRIS is the European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases. ACTRIS is composed of observing stations, exploratory platforms, instruments calibration centres, and a data centre., The European Monitoring and Evaluation Programme (EMEP) is a scientifically based and policy driven programme under the Convention on Long-range Transboundary Air Pollution (CLRTAP) for int'l co-operation to solve transboundary air pollution problems., The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme.
      ebas_framework_contact_name :
      Cathrine Lund Myhre, Kjetil T\u00f8rseth, Markus Fiebig
      ebas_framework_contact_email :
      clm@nilu.no, kt@nilu.no, Markus.Fiebig@nilu.no
      ebas_originator :
      Fiebig, Markus, Markus.Fiebig@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway, ORCID=0000-0002-3380-3470
      ebas_submitter :
      Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway
      ebas_acknowledgement :
      Request acknowledgement details from data originator
      [157680 values with dtype=float64]
    • time
      PandasIndex
      PandasIndex(DatetimeIndex(['2017-01-01 00:30:00', '2017-01-01 01:30:00',\n               '2017-01-01 02:30:00', '2017-01-01 03:30:00',\n               '2017-01-01 04:30:00', '2017-01-01 05:30:00',\n               '2017-01-01 06:30:00', '2017-01-01 07:30:00',\n               '2017-01-01 08:30:00', '2017-01-01 09:30:00',\n               ...\n               '2022-12-31 14:30:00', '2022-12-31 15:30:00',\n               '2022-12-31 16:30:00', '2022-12-31 17:30:00',\n               '2022-12-31 18:30:00', '2022-12-31 19:30:00',\n               '2022-12-31 20:30:00', '2022-12-31 21:30:00',\n               '2022-12-31 22:30:00', '2022-12-31 23:30:00'],\n              dtype='datetime64[ns]', name='time', length=52560, freq=None))
    • metadata_time
      PandasIndex
      PandasIndex(DatetimeIndex(['2017-07-02 12:00:00', '2018-07-02 12:00:00',\n               '2019-07-02 12:00:00', '2020-07-02 00:00:00',\n               '2021-07-03 00:00:00', '2022-07-02 12:00:00'],\n              dtype='datetime64[ns]', name='metadata_time', freq=None))
    • Wavelength
      PandasIndex
      PandasIndex(Index([470.0, 522.0, 660.0], dtype='float64', name='Wavelength'))
  • Conventions :
    CF-1.8, ACDD-1.3
    featureType :
    timeSeries
    title :
    Ground based in situ observations of aerosol_absorption_coefficient at Birkenes II (NO0002R) using filter_absorption_photometer
    keywords :
    NO0002R, EMEP, aerosol_absorption_coefficient, ACTRIS, Birkenes II, GAW-WDCA, pm10
    id :
    NO0002R.20170101000000.20230627082633.filter_absorption_photometer.aerosol_absorption_coefficient.pm10.6y.1h.NO01L_Radiance-Research_PSAP-3W_BIR_dry.NO01L_abs_coef_PSAP_v1.lev2.nc
    naming_authority :
    EBAS
    project :
    ACTRIS, EMEP, GAW-WDCA
    acknowledgement :
    Request acknowledgement details from data originator
    license :
    https://creativecommons.org/licenses/by/4.0/
    citation :
    Markus Fiebig, aerosol_absorption_coefficient - filter_absorption_photometer at Birkenes II, data hosted by EBAS at NILU
    summary :
    Ground based in situ observations of aerosol_absorption_coefficient at Birkenes II (NO0002R) using filter_absorption_photometer. These measurements are gathered as a part of the following projects ACTRIS, EMEP, GAW-WDCA and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: aerosol_absorption_coefficient in pm10, aerosol_absorption_coefficient in pm10, aerosol_absorption_coefficient in pm10
    source :
    surface observation
    institution :
    NO01L, Norwegian Institute for Air Research, NILU, Instituttveien 18, 2007, Kjeller, Norway
    processing_level :
    processing_level_test
    date_created :
    2023-06-27T08:26:33 UTC
    date_metadata_modified :
    2023-06-27T08:26:33 UTC
    creator_name :
    Markus Fiebig
    creator_type :
    person
    creator_email :
    Markus.Fiebig@nilu.no
    creator_institution :
    \"Norwegian Institute for Air Research, Atmosphere and Climate Department, NILU\"
    contributor_name :
    Markus Fiebig, Chris Lunder
    contributor_role :
    data submitter, data submitter
    publisher_type :
    institution
    publisher_name :
    NILU - Norwegian Institute for Air Research, ATMOS, EBAS
    publisher_institution :
    NILU - Norwegian Institute for Air Research, ATMOS, EBAS
    publisher_email :
    ebas@nilu.no
    publisher_url :
    https://www.nilu.no/
    geospatial_bounds :
    POINT Z (58.38 8.25 220.0)
    geospatial_bounds_crs :
    EPSG:4979
    geospatial_lat_min :
    58.38
    geospatial_lat_max :
    58.38
    geospatial_lon_min :
    8.25
    geospatial_lon_max :
    8.25
    geospatial_vertical_min :
    220.0
    geospatial_vertical_max :
    220.0
    geospatial_vertical_positive :
    up
    time_coverage_start :
    2017-01-01T00:00:00 UTC
    time_coverage_end :
    2023-01-01T00:00:00 UTC
    time_coverage_duration :
    P0006-00-00T00:00:00
    time_coverage_resolution :
    P0000-00-00T01:00:00
    timezone :
    UTC
    ebas_data_definition :
    EBAS_1.1
    ebas_data_license :
    https://creativecommons.org/licenses/by/4.0/
    ebas_citation :
    Markus Fiebig, aerosol_absorption_coefficient - filter_absorption_photometer at Birkenes II, data hosted by EBAS at NILU
    ebas_set_type_code :
    TI
    ebas_timezone :
    UTC
    ebas_file_name :
    NO0002R.20170101000000.20230627082633.filter_absorption_photometer.aerosol_absorption_coefficient.pm10.6y.1h.NO01L_Radiance-Research_PSAP-3W_BIR_dry.NO01L_abs_coef_PSAP_v1.lev2.nc
    ebas_file_creation :
    2023-06-27T10:49:04.457369 UTC
    ebas_export_state :
    2023-06-27T09:53:47.937237 UTC
    ebas_export_filter :
    exclude-900,exclude-invalid
    ebas_startdate :
    20170101000000
    ebas_revision_date :
    20230627082633
    ebas_version :
    1
    ebas_version_description :
    initial revision
    ebas_data_level :
    2
    ebas_period_code :
    6y
    ebas_resolution_code :
    1h
    ebas_sample_duration :
    1h
    ebas_station_code :
    NO0002R
    ebas_platform_code :
    NO0002S
    ebas_station_name :
    Birkenes II
    ebas_station_wdca_id :
    GAWANO__BIR
    ebas_station_gaw_id :
    BIR
    ebas_station_gaw_name :
    Birkenes Atmospheric Observatory
    ebas_station_other_ids :
    BIR (ICOS), Birkenes (AERONET)
    ebas_station_land_use :
    Forest
    ebas_station_setting :
    Rural
    ebas_station_gaw_type :
    R
    ebas_station_wmo_region :
    6
    ebas_station_latitude :
    58.38853
    ebas_station_longitude :
    8.252
    ebas_station_altitude :
    219.0 m
    ebas_measuremenet_latitude :
    58.38
    ebas_measurement_longitude :
    8.25
    ebas_measurement_altitude :
    220.0 m
    ebas_measurement_height :
    4.0 m
    ebas_regime :
    IMG
    ebas_component :
    aerosol_absorption_coefficient
    ebas_unit :
    1/Mm
    ebas_matrix :
    pm10
    ebas_laboratory_code :
    NO01L
    ebas_instrument_type :
    filter_absorption_photometer
    ebas_instrument_name :
    Radiance-Research_PSAP-3W_BIR_dry
    ebas_instrument_manufacturer :
    Radiance-Research
    ebas_instrument_model :
    PSAP-3W
    ebas_instrument_serial_number :
    0121
    ebas_method_ref :
    NO01L_abs_coef_PSAP_v1
    ebas_standard_method :
    Single-angle_Correction=Bond1999_Ogren2010
    ebas_inlet_type :
    Impactor--direct
    ebas_inlet_description :
    PM10 at ambient humidity inlet, Digitel, flow 140 l/min
    ebas_humidity_temperaure_control :
    None
    ebas_humidity_temperaure_control_description :
    passive, sample heated from atmospheric to lab temperature
    ebas_volume_std_temperature :
    273.15 K
    ebas_volume_std_pressure :
    1013.25 hPa
    ebas_detection_limit :
    0.1 1/Mm
    ebas_detection_limit_expl :
    Determined by instrument noise characteristics, no detection limit flag used
    ebas_measurement_uncertainty_expl :
    typical value of unit-to-unit variability as estimated by Bond et al., 1999.
    ebas_zero_negative_values_code :
    Zero/negative possible
    ebas_zero_negative_values :
    Zero and neg. values may appear due to statistical variations at very low concentrations
    ebas_organization :
    NO01L, Norwegian Institute for Air Research, NILU, , Instituttveien 18, , 2007, Kjeller, Norway
    ebas_framework_acronym :
    ACTRIS, EMEP, GAW-WDCA
    ebas_framework_name :
    European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases, European Monitoring and Evaluation Programme, World Data Centre for Aerosols
    ebas_framework_description :
    ACTRIS is the European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases. ACTRIS is composed of observing stations, exploratory platforms, instruments calibration centres, and a data centre., The European Monitoring and Evaluation Programme (EMEP) is a scientifically based and policy driven programme under the Convention on Long-range Transboundary Air Pollution (CLRTAP) for int'l co-operation to solve transboundary air pollution problems., The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme.
    ebas_framework_contact_name :
    Cathrine Lund Myhre, Kjetil T\u00f8rseth, Markus Fiebig
    ebas_framework_contact_email :
    clm@nilu.no, kt@nilu.no, Markus.Fiebig@nilu.no
    ebas_originator :
    Fiebig, Markus, Markus.Fiebig@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway, ORCID=0000-0002-3380-3470
    ebas_submitter :
    Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway
    ebas_acknowledgement :
    Request acknowledgement details from data originator
    Metadata_Conventions :
    Unidata Dataset Discovery v1.0
    geospatial_lat_units :
    degrees_north
    geospatial_lon_units :
    degrees_east
    comment :
    {\n \"Data definition\": \"EBAS_1.1\",\n \"Data license\": \"https://creativecommons.org/licenses/by/4.0/\",\n \"Citation\": \"Markus Fiebig, aerosol_absorption_coefficient - filter_absorption_photometer at Birkenes II, data hosted by EBAS at NILU\",\n \"Set type code\": \"TI\",\n \"Timezone\": \"UTC\",\n \"File name\": \"NO0002R.20170101000000.20230627082633.filter_absorption_photometer.aerosol_absorption_coefficient.pm10.6y.1h.NO01L_Radiance-Research_PSAP-3W_BIR_dry.NO01L_abs_coef_PSAP_v1.lev2.nc\",\n \"File creation\": \"2023-06-27T10:49:04.457369 UTC\",\n \"Export state\": \"2023-06-27T09:53:47.937237 UTC\",\n \"Export filter\": \"exclude-900,exclude-invalid\",\n \"Startdate\": \"20170101000000\",\n \"Revision date\": \"20230627082633\",\n \"Version\": \"1\",\n \"Version description\": \"initial revision\",\n \"Data level\": \"2\",\n \"Period code\": \"6y\",\n \"Resolution code\": \"1h\",\n \"Sample duration\": \"1h\",\n \"Station code\": \"NO0002R\",\n \"Platform code\": \"NO0002S\",\n \"Station name\": \"Birkenes II\",\n \"Station WDCA-ID\": \"GAWANO__BIR\",\n \"Station GAW-ID\": \"BIR\",\n \"Station GAW-Name\": \"Birkenes Atmospheric Observatory\",\n \"Station other IDs\": \"BIR (ICOS), Birkenes (AERONET)\",\n \"Station land use\": \"Forest\",\n \"Station setting\": \"Rural\",\n \"Station GAW type\": \"R\",\n \"Station WMO region\": \"6\",\n \"Station latitude\": \"58.38853\",\n \"Station longitude\": \"8.252\",\n \"Station altitude\": \"219.0 m\",\n \"Measurement latitude\": \"58.38\",\n \"Measurement longitude\": \"8.25\",\n \"Measurement altitude\": \"220.0 m\",\n \"Measurement height\": \"4.0 m\",\n \"Regime\": \"IMG\",\n \"Component\": \"aerosol_absorption_coefficient\",\n \"Unit\": \"1/Mm\",\n \"Matrix\": \"pm10\",\n \"Laboratory code\": \"NO01L\",\n \"Instrument type\": \"filter_absorption_photometer\",\n \"Instrument name\": \"Radiance-Research_PSAP-3W_BIR_dry\",\n \"Instrument manufacturer\": \"Radiance-Research\",\n \"Instrument model\": \"PSAP-3W\",\n \"Instrument serial number\": \"0121\",\n \"Method ref\": \"NO01L_abs_coef_PSAP_v1\",\n \"Standard method\": \"Single-angle_Correction=Bond1999_Ogren2010\",\n \"Inlet type\": \"Impactor--direct\",\n \"Inlet description\": \"PM10 at ambient humidity inlet, Digitel, flow 140 l/min\",\n \"Humidity/temperature control\": \"None\",\n \"Humidity/temperature control description\": \"passive, sample heated from atmospheric to lab temperature\",\n \"Volume std. temperature\": \"273.15 K\",\n \"Volume std. pressure\": \"1013.25 hPa\",\n \"Detection limit\": \"0.1 1/Mm\",\n \"Detection limit expl.\": \"Determined by instrument noise characteristics, no detection limit flag used\",\n \"Measurement uncertainty expl.\": \"typical value of unit-to-unit variability as estimated by Bond et al., 1999.\",\n \"Zero/negative values code\": \"Zero/negative possible\",\n \"Zero/negative values\": \"Zero and neg. values may appear due to statistical variations at very low concentrations\",\n \"Organization\": \"NO01L, Norwegian Institute for Air Research, NILU, , Instituttveien 18, , 2007, Kjeller, Norway\",\n \"Framework acronym\": \"ACTRIS, EMEP, GAW-WDCA\",\n \"Framework name\": \"European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases, European Monitoring and Evaluation Programme, World Data Centre for Aerosols\",\n \"Framework description\": \"ACTRIS is the European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases. ACTRIS is composed of observing stations, exploratory platforms, instruments calibration centres, and a data centre., The European Monitoring and Evaluation Programme (EMEP) is a scientifically based and policy driven programme under the Convention on Long-range Transboundary Air Pollution (CLRTAP) for int'l co-operation to solve transboundary air pollution problems., The World Data Centre for Aerosols is the data repository and archive for microphysical, optical, and chemical properties of atmospheric aerosol of the World Meteorological Organisation's (WMO) Global Atmosphere Watch (GAW) programme.\",\n \"Framework contact name\": \"Cathrine Lund Myhre, Kjetil T\u00f8rseth, Markus Fiebig\",\n \"Framework contact email\": \"clm@nilu.no, kt@nilu.no, Markus.Fiebig@nilu.no\",\n \"Originator\": \"Fiebig, Markus, Markus.Fiebig@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway, ORCID=0000-0002-3380-3470\",\n \"Submitter\": \"Lunder, Chris, crl@nilu.no, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, , 2007, Kjeller, Norway\",\n \"Acknowledgement\": \"Request acknowledgement details from data originator\"\n}
    standard_name_vocabulary :
    CF-1.7, ACDD-1.3
    history :
    None
    creator_url :
    ebas.nilu.no
\n
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In this case, the nephelometer has measurements at wavelengths 450, 550 and 700 nm, while the filter absoprtion photometer has 470, 522, 660 nm. We will continue to focus on the 550nm wavelength, and hence need to interpolate the data from the filter absorption photometer. The goal is to calculate the SSA for 550 nm.

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The \u00c5ngstr\u00f6m exponent\u00b6

To determine the single scattering albedo with datasets where the measuring wavelengths of the nephelometer and filter absorption photometer does not match, we can use the angstrom exponent to manipulate the data.

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The \u00c5ngstr\u00f6m exponent parametrizes the wavelength dependence of either scattering or absorption, with the equation:

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$\\frac{\\sigma_1}{\\sigma_2}=\\frac{\\lambda_1}{\\lambda_2}^{-\\alpha}$

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Where $\\sigma$ denotes either scattering or absorption coefficient at two different wavelengths, $\\lambda$ denotes the wavelength and $\\alpha$ the Angstrom exponent. By evaluating how the coefficients depend on wavelength and derive the \u00c5ngstr\u00f6m exponent, we can further use this to obtain either the scattering or absorption coefficient.

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For instance, if $\\alpha = -1$ for absorption coefficients, there is a uniform absorption of all wavelengths, where one example is soot. Meaning that the magnitude of the \u00c5ngstr\u00f6m exponent for absorption coefficients is telling about the dependence of wavelength for absorption. While $\\alpha$ for scattering coefficient is telling about the particle size.

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In this case we want to determine the Angstrom exponent for the light absoprtion coefficient.

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$\\alpha = \\frac{ln(\\frac{\\sigma_2}{\\sigma_1})}{ln(\\frac{\\lambda_1}{\\lambda_2})}$

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To derive the absorption coefficient for $\\lambda = 550 nm$, we will use the data for wavelenghts $\\lambda = 522 nm, 660 nm$.

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Therefore $\\sigma_1$ and $\\sigma_2$ denotes the ligth absorption coefficients at wavelengths $\\lambda_1 = 522 nm$ and $\\lambda_2 = 660 nm$

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While we are working with bigger datasets, one must calculate the exponent for each timestep. Once the exponent is known, one can use it to obtain a coefficient at desired wavelength.

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In\u00a0[\u00a0]:
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# Extracting variables and wavelenghts of interest from datasets\n\n# Scattering\nsc = neph_ds[\"aerosol_light_scattering_coefficient_amean\"] \nsc_coeff = sc.sel(Wavelength = 550) \n\n# Absorption\nab = phot_ds[\"aerosol_absorption_coefficient_amean\"] \nab_522 = ab.sel(Wavelength = 522) \nab_660 = ab.sel(Wavelength = 660)\n
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In\u00a0[\u00a0]:
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# Converting to dataframe\n\nsc = sc_coeff.to_dataframe()  # dataframe of scattering coefficients at wavelength 550 nm\nab522 = ab_522.to_dataframe()  # dataframe of absorption coefficients at wavelength 522 nm\nab660 = ab_660.to_dataframe()  # dataframe of absorption coefficients at wavelength 660 nm\n
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In\u00a0[\u00a0]:
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# Only looking at data where both sets have measurements\n\nstart_date = pd.Timestamp(\"2020-12\")\nend_date = pd.Timestamp(\"2022-08\")\n\n# Filter out rows that fall outside the desired timespan\ndf_ab522 = ab522[(ab522.index >= start_date) & (ab522.index <= end_date)]\ndf_ab660 = ab660[(ab660.index >= start_date) & (ab660.index <= end_date)]\ndf_sc = sc[(sc.index >= start_date) & (sc.index <= end_date)]\n
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Function for calculating the Angstrom exponent\u00b6

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In\u00a0[\u00a0]:
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# making a function to calculate angstrom exponent\n\n# sigma1 and sigma2: scattering or absorption coefficients\n# lambda1 and lambda2: respective wavelengths\n\ndef angstrom(sigma1,sigma2,lambda1, lambda2):\n    # For a smooth operation, check that datasets are even in size.\n    if len(sigma1) == len(sigma2):\n        A = len(sigma1)\n    else:\n        return print(\"Match length of datasets.\")\n    \n    alpha = np.zeros(A) # empty array with length of dataset\n    \n    for i in range(A):\n        # checking for NaNs and negative numbers\n        if np.isnan(sigma1[i]) or np.isnan(sigma2[i]):\n            alpha[i] = np.nan\n        if sigma1[i] < 0 or sigma2[i] < 0:\n            alpha[i] = np.nan\n        else:\n            alpha[i] = (np.log(sigma2[i]/sigma1[i]))/(np.log(lambda1/lambda2))\n        time = sigma1.index\n    return time, alpha\n\n# Executing the function using the known absorption coefficients\n\ntime, alpha = angstrom(df_ab522[\"aerosol_absorption_coefficient_amean\"], df_ab660[\"aerosol_absorption_coefficient_amean\"],522,660)\n
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Plotting the Angstorm exponent\u00b6

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In\u00a0[\u00a0]:
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plt.plot(time, alpha, color='g')\nplt.xticks(rotation=45)\nplt.title(\"Angstrom exponent for absorption\")\nplt.xlabel(\"Date\")\nplt.ylabel(\"\u03b1\")\nplt.gca().set_facecolor('white')\nplt.grid(True, linestyle='--', alpha=0.5)\ntext_box_props = dict(boxstyle='round', facecolor='white', alpha=0.5)\nplt.text(0.02, 0.87, 'Particle size. PM10\\nWavelengths: 522nm, 660nm', transform=plt.gca().transAxes, bbox=text_box_props)\n\nplt.show()\n
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Now we can use the angstrom exponent and its equation in reverse, to obtain the absorption coefficients at wavelength 550nm.\nBy rearranging the equation:

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$\\frac{\\sigma_1}{\\sigma_2}=\\frac{\\lambda_1}{\\lambda_2}^{-\\alpha}$

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Solve for wanted coefficient. In this case it is:

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$\\sigma _{A550} = \\frac{\\lambda _{550}}{\\lambda_{522}}^{-\\alpha} \\sigma _{A522}$

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One could use either $\\lambda = 522 nm$ or $\\lambda = 660 nm$, as long as you use the known coefficient with the corresponding wavelength.

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Calculating absorption coefficicents at $\\lambda = 550nm$\u00b6

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In\u00a0[\u00a0]:
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# a: angstrom exponent\n# sigma: known coefficient, either absorption or scattering. depending on what you calculated the exponent for\n# lambda_a: wavelength you want to find the coefficient for\n# lambda1: wavelength for sigma\n\ndef make_coeff(a, sigma, lambda_a, lambda1):\n    coeff = np.zeros(len(a))\n    for i in range(len(a)):\n        coeff[i] = ((lambda_a/lambda1)**(-a[i]))*sigma[i]\n    time = sigma.index\n    return time, coeff\n\n# Executing the function for deriving absoprtion coefficient at wanted wavelength\n\ntime, abs_coeff550 = make_coeff(alpha, df_ab522[\"aerosol_absorption_coefficient_amean\"], 550, 522)\n\ndf_ab550 = pd.DataFrame(abs_coeff550, time) # making into dataframe\ndf_ab550.columns = [\"Estimated absorption coefficient, 550nm\"]\n
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Plotting scattering coefficient and absorption coefficient at $\\lambda = 550nm$\u00b6

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In\u00a0[\u00a0]:
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fig, ax = plt.subplots()\n\ndf_sc[\"aerosol_light_scattering_coefficient_amean\"].plot(ax=ax, label=\"Scattering coefficient, 550nm\")\n\ndf_ab550.plot(ax=ax, label=\"Estimated absorption coefficient, 550nm\")\n\nplt.title(\"Scattering coefficients and estimated absorption coefficient at Birkenes II (NO)\")\nplt.xlabel(\"Time\")\nplt.ylabel(\"[1/Mm]\")\nplt.legend()\nplt.gca().set_facecolor('white')\nplt.grid(True, linestyle='--', alpha=0.5)\ntext_box_props = dict(boxstyle='round', facecolor='white', alpha=0.5)\nplt.text(0.02, 0.76, 'Particle size. PM10', transform=plt.gca().transAxes, bbox=text_box_props)\n\nplt.show()\n
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Before we can calculate the SSA, we need to check that the two dataframes we have for scattering coefficient and absorption coefficient matches in length. We know the data they contain spans over the same time period, but have a quick look below and see that they contain different number of measurements. To fix this, we check for any unique indexes in both dataframes and insert the ones \"missing\" and giving them a \"NaN\" value.

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In\u00a0[\u00a0]:
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df_sc\n
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Out[\u00a0]:
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Wavelengthaerosol_light_scattering_coefficient_amean
time
2020-12-01 00:30:00550.01.73604
2020-12-01 01:30:00550.00.95774
2020-12-01 02:30:00550.00.57248
2020-12-01 03:30:00550.00.19908
2020-12-01 04:30:00550.00.46737
.........
2022-07-31 19:30:00550.010.16694
2022-07-31 20:30:00550.07.76920
2022-07-31 21:30:00550.06.51373
2022-07-31 22:30:00550.05.87390
2022-07-31 23:30:00550.07.25679
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14592 rows \u00d7 2 columns

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In\u00a0[\u00a0]:
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df_ab550\n
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Out[\u00a0]:
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Estimated absorption coefficient, 550nm
time
2020-12-01 00:30:000.434964
2020-12-01 01:30:000.281459
2020-12-01 02:30:000.151241
2020-12-01 03:30:000.119096
2020-12-01 04:30:000.155996
......
2022-07-31 19:30:001.712482
2022-07-31 20:30:001.593215
2022-07-31 21:30:001.193781
2022-07-31 22:30:000.855651
2022-07-31 23:30:000.815754
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14568 rows \u00d7 1 columns

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In\u00a0[\u00a0]:
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# Find the common indexes between df_sc and df_ab550\ncommon_indexes = df_sc.index.intersection(df_ab550.index)\n\n# Find the unique indexes in df_sc that are not in df_ab550\nunique_indexes_sc = df_sc.index.difference(df_ab550.index)\n\n# Find the unique indexes in df_ab550 that are not in df_sc\nunique_indexes_ab550 = df_ab550.index.difference(df_sc.index)\n\n# Create a new dataframe for df_ab550 with NaN values and reindexed with unique indexes from df_sc\ndf_ab550_with_nan = pd.DataFrame(index=unique_indexes_sc, columns=df_ab550.columns)\ndf_ab550_with_nan['Estimated absorption coefficient, 550nm'] = np.nan\n\n# Create a new dataframe for df_sc with NaN values and reindexed with unique indexes from df_ab550\ndf_sc_with_nan = pd.DataFrame(index=unique_indexes_ab550, columns=df_sc.columns)\ndf_sc_with_nan['aerosol_light_scattering_coefficient_amean'] = np.nan\n\n# Concatenate the original dataframe df_ab550 with df_ab550_with_nan\ndf_ab550_combined = pd.concat([df_ab550, df_ab550_with_nan]).sort_index()\n\n# Concatenate the original dataframe df_sc with df_sc_with_nan\ndf_sc_combined = pd.concat([df_sc, df_sc_with_nan]).sort_index()\n\n# Output the combined dataframes\nprint(\"Combined df_ab550:\")\nprint(df_ab550_combined)\n\nprint(\"Combined df_sc:\")\nprint(df_sc_combined)\n
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Combined df_ab550:\n                     Estimated absorption coefficient, 550nm\ntime                                                        \n2020-12-01 00:30:00                                 0.434964\n2020-12-01 01:30:00                                 0.281459\n2020-12-01 02:30:00                                 0.151241\n2020-12-01 03:30:00                                 0.119096\n2020-12-01 04:30:00                                 0.155996\n...                                                      ...\n2022-07-31 19:30:00                                 1.712482\n2022-07-31 20:30:00                                 1.593215\n2022-07-31 21:30:00                                 1.193781\n2022-07-31 22:30:00                                 0.855651\n2022-07-31 23:30:00                                 0.815754\n\n[14592 rows x 1 columns]\nCombined df_sc:\n                     Wavelength  aerosol_light_scattering_coefficient_amean\ntime                                                                       \n2020-12-01 00:30:00       550.0                                     1.73604\n2020-12-01 01:30:00       550.0                                     0.95774\n2020-12-01 02:30:00       550.0                                     0.57248\n2020-12-01 03:30:00       550.0                                     0.19908\n2020-12-01 04:30:00       550.0                                     0.46737\n...                         ...                                         ...\n2022-07-31 19:30:00       550.0                                    10.16694\n2022-07-31 20:30:00       550.0                                     7.76920\n2022-07-31 21:30:00       550.0                                     6.51373\n2022-07-31 22:30:00       550.0                                     5.87390\n2022-07-31 23:30:00       550.0                                     7.25679\n\n[14592 rows x 2 columns]\n
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Plot of SSA\u00b6

Now that we have found scattering coeffients and absorption coefficients, at the same wavelength/timespan/station, we can determine the single scattering albedo. Here using the function defined in example 1.

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In\u00a0[\u00a0]:
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# Assigning the coefficients to arrays\nsigma_SP = df_sc_combined[\"aerosol_light_scattering_coefficient_amean\"]\nsigma_AP = df_ab550_combined[\"Estimated absorption coefficient, 550nm\"]\n\n# Executing function from example 1, determining the SSA\ntime, ssa = SSA(sigma_SP, sigma_AP)\n\n# Plotting the SSA\nplt.plot(time, ssa, color='pink')\nplt.xticks(rotation=45)\nplt.title(\"Single scattering albedo at Birkenes II (NO) 2020-2022\")\nplt.xlabel(\"Date\")\nplt.ylabel(\"$\\omega 0$\")\nplt.gca().set_facecolor('white')\nplt.grid(True, linestyle='--', alpha=0.5)\ntext_box_props = dict(boxstyle='round', facecolor='white', alpha=0.5)\nplt.text(0.05, 0.05, 'Particle size. PM10\\nWavelength: 550nm', transform=plt.gca().transAxes, bbox=text_box_props)\n\nplt.show()\n
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If you should encounter datasets with non matching wavelenghts, but say for instance that it is the filter absorption photometer that has data for the wanted wavelength and the nephelometer has measurements at different wavelengths. You can then follow the same procedure by calculating the Angstrom exponent, but instead use the scattering coefficients at wavelengths surrounding your desired wavelength. When you have obtained the Angstrom exponent for scattering at all timesteps, apply it in reverese to calculate the scattering coefficient at desired wavelength, and lastly use this in combination with the filter absoprtion photometers absorption coefficicents to determine the SSA.

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In\u00a0[\u00a0]:
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# New dataframe containing SSA\n\ndf_SSA = pd.DataFrame(ssa,time)\n\n# Inserting the coefficients into dataframe\n\ndf_SSA[\"sigma_SP\"] = sigma_SP\ndf_SSA[\"sigma_AP\"] = sigma_AP\n\n# Editing headings in dataframe\n\nheadings = [\"SSA\", \"sigma_SP\", \"sigma_AP\"]\ndf_SSA.columns = headings\n\ndf_SSA\n
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Out[\u00a0]:
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SSAsigma_SPsigma_AP
time
2020-12-01 00:30:000.7996491.736040.434964
2020-12-01 01:30:000.7728700.957740.281459
2020-12-01 02:30:000.7910230.572480.151241
2020-12-01 03:30:000.6256910.199080.119096
2020-12-01 04:30:000.7497520.467370.155996
............
2022-07-31 19:30:000.85584510.166941.712482
2022-07-31 20:30:000.8298297.769201.593215
2022-07-31 21:30:000.8451156.513731.193781
2022-07-31 22:30:000.8728525.873900.855651
2022-07-31 23:30:000.8989477.256790.815754
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14592 rows \u00d7 3 columns

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Further, statistics can be done on the data as shown in example 1.

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