Absorption instruments inter-comparison campaign at the Arctic Pallas station
Aerosol light absorption was measured during a 1-month field campaign in June-July 2019 at the Pallas Global Atmospheric Watch (GAW) station in northern Finland. Very low aerosol concentrations prevailed during the campaign, which posed a challenge for the instruments' detection capabilities. T...
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ftleibnizopen:oai:oai.leibnizopen.de:HziIYIgBdbrxVwz6kD-a 2023-06-11T04:09:22+02:00 Absorption instruments inter-comparison campaign at the Arctic Pallas station Asmi, Eija Backman, John Servomaa, Henri Virkkula, Aki Gini, Maria I. Eleftheriadis, Konstantinos Müller, Thomas Ohata, Sho Kondo, Yutaka Hyvärinen, Antti 2021 application/pdf https://oa.tib.eu/renate/handle/123456789/8243 https://doi.org/10.34657/7281 eng eng Katlenburg-Lindau : European Geosciences Union CC BY 4.0 Unported https://creativecommons.org/licenses/by/4.0/ Atmospheric Measurement Techniques 14 (2021), Nr. 8 absorption coefficient aerosol concentration (composition) COSMOS cross section detection method instrumentation monitoring system wavelength Arctic Finland Lappi [Finland] Pallas 550 article Text 2021 ftleibnizopen https://doi.org/10.34657/7281 2023-05-28T23:07:04Z Aerosol light absorption was measured during a 1-month field campaign in June-July 2019 at the Pallas Global Atmospheric Watch (GAW) station in northern Finland. Very low aerosol concentrations prevailed during the campaign, which posed a challenge for the instruments' detection capabilities. The campaign provided a real-world test for different absorption measurement techniques supporting the goals of the European Metrology Programme for Innovation and Research (EMPIR) Black Carbon (BC) project in developing aerosol absorption standard and reference methods. In this study we compare the results from five filter-based absorption techniques - aethalometer models AE31 and AE33, a particle soot absorption photometer (PSAP), a multi-angle absorption photometer (MAAP), and a continuous soot monitoring system (COSMOS) - and from one indirect technique called extinction minus scattering (EMS). The ability of the filter-based techniques was shown to be adequate to measure aerosol light absorption coefficients down to around 0.01g¯Mm-1 levels when data were averaged to 1-2g¯h. The hourly averaged atmospheric absorption measured by the reference MAAP was 0.09g¯Mm-1 (at a wavelength of 637g¯nm). When data were averaged for >1g¯h, the filter-based methods agreed to around 40g¯%. COSMOS systematically measured the lowest absorption coefficient values, which was expected due to the sample pre-treatment in the COSMOS inlet. PSAP showed the best linear correlation with MAAP (slopeCombining double low line0.95, R2Combining double low line0.78), followed by AE31 (slopeCombining double low line0.93). A scattering correction applied to PSAP data improved the data accuracy despite the added noise. However, at very high scattering values the correction led to an underestimation of the absorption. The AE31 data had the highest noise and the correlation with MAAP was the lowest (R2Combining double low line0.65). Statistically the best linear correlations with MAAP were obtained for AE33 and COSMOS (R2 close to 1), but the biases at ... Article in Journal/Newspaper Arctic black carbon Northern Finland Lappi LeibnizOpen (The Leibniz Association) Arctic |
institution |
Open Polar |
collection |
LeibnizOpen (The Leibniz Association) |
op_collection_id |
ftleibnizopen |
language |
English |
topic |
absorption coefficient aerosol concentration (composition) COSMOS cross section detection method instrumentation monitoring system wavelength Arctic Finland Lappi [Finland] Pallas 550 |
spellingShingle |
absorption coefficient aerosol concentration (composition) COSMOS cross section detection method instrumentation monitoring system wavelength Arctic Finland Lappi [Finland] Pallas 550 Asmi, Eija Backman, John Servomaa, Henri Virkkula, Aki Gini, Maria I. Eleftheriadis, Konstantinos Müller, Thomas Ohata, Sho Kondo, Yutaka Hyvärinen, Antti Absorption instruments inter-comparison campaign at the Arctic Pallas station |
topic_facet |
absorption coefficient aerosol concentration (composition) COSMOS cross section detection method instrumentation monitoring system wavelength Arctic Finland Lappi [Finland] Pallas 550 |
description |
Aerosol light absorption was measured during a 1-month field campaign in June-July 2019 at the Pallas Global Atmospheric Watch (GAW) station in northern Finland. Very low aerosol concentrations prevailed during the campaign, which posed a challenge for the instruments' detection capabilities. The campaign provided a real-world test for different absorption measurement techniques supporting the goals of the European Metrology Programme for Innovation and Research (EMPIR) Black Carbon (BC) project in developing aerosol absorption standard and reference methods. In this study we compare the results from five filter-based absorption techniques - aethalometer models AE31 and AE33, a particle soot absorption photometer (PSAP), a multi-angle absorption photometer (MAAP), and a continuous soot monitoring system (COSMOS) - and from one indirect technique called extinction minus scattering (EMS). The ability of the filter-based techniques was shown to be adequate to measure aerosol light absorption coefficients down to around 0.01g¯Mm-1 levels when data were averaged to 1-2g¯h. The hourly averaged atmospheric absorption measured by the reference MAAP was 0.09g¯Mm-1 (at a wavelength of 637g¯nm). When data were averaged for >1g¯h, the filter-based methods agreed to around 40g¯%. COSMOS systematically measured the lowest absorption coefficient values, which was expected due to the sample pre-treatment in the COSMOS inlet. PSAP showed the best linear correlation with MAAP (slopeCombining double low line0.95, R2Combining double low line0.78), followed by AE31 (slopeCombining double low line0.93). A scattering correction applied to PSAP data improved the data accuracy despite the added noise. However, at very high scattering values the correction led to an underestimation of the absorption. The AE31 data had the highest noise and the correlation with MAAP was the lowest (R2Combining double low line0.65). Statistically the best linear correlations with MAAP were obtained for AE33 and COSMOS (R2 close to 1), but the biases at ... |
format |
Article in Journal/Newspaper |
author |
Asmi, Eija Backman, John Servomaa, Henri Virkkula, Aki Gini, Maria I. Eleftheriadis, Konstantinos Müller, Thomas Ohata, Sho Kondo, Yutaka Hyvärinen, Antti |
author_facet |
Asmi, Eija Backman, John Servomaa, Henri Virkkula, Aki Gini, Maria I. Eleftheriadis, Konstantinos Müller, Thomas Ohata, Sho Kondo, Yutaka Hyvärinen, Antti |
author_sort |
Asmi, Eija |
title |
Absorption instruments inter-comparison campaign at the Arctic Pallas station |
title_short |
Absorption instruments inter-comparison campaign at the Arctic Pallas station |
title_full |
Absorption instruments inter-comparison campaign at the Arctic Pallas station |
title_fullStr |
Absorption instruments inter-comparison campaign at the Arctic Pallas station |
title_full_unstemmed |
Absorption instruments inter-comparison campaign at the Arctic Pallas station |
title_sort |
absorption instruments inter-comparison campaign at the arctic pallas station |
publisher |
Katlenburg-Lindau : European Geosciences Union |
publishDate |
2021 |
url |
https://oa.tib.eu/renate/handle/123456789/8243 https://doi.org/10.34657/7281 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic black carbon Northern Finland Lappi |
genre_facet |
Arctic black carbon Northern Finland Lappi |
op_source |
Atmospheric Measurement Techniques 14 (2021), Nr. 8 |
op_rights |
CC BY 4.0 Unported https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.34657/7281 |
_version_ |
1768383182883782656 |