Coherent uncertainty analysis of aerosol measurements from multiple satellite sensors
Aerosol retrievals from multiple spaceborne sensors, including MODIS (on Terra and Aqua), MISR, OMI, POLDER, CALIOP, and SeaWiFS – altogether, a total of 11 different aerosol products – were comparatively analyzed using data collocated with ground-based aerosol observations from the Aerosol Robotic...
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ftdoajarticles:oai:doaj.org/article:6aa222381c9d41a3b192d8cd30db0878 2023-05-15T13:06:50+02:00 Coherent uncertainty analysis of aerosol measurements from multiple satellite sensors M. Petrenko C. Ichoku 2013-07-01T00:00:00Z https://doi.org/10.5194/acp-13-6777-2013 https://doaj.org/article/6aa222381c9d41a3b192d8cd30db0878 EN eng Copernicus Publications http://www.atmos-chem-phys.net/13/6777/2013/acp-13-6777-2013.pdf https://doaj.org/toc/1680-7316 https://doaj.org/toc/1680-7324 doi:10.5194/acp-13-6777-2013 1680-7316 1680-7324 https://doaj.org/article/6aa222381c9d41a3b192d8cd30db0878 Atmospheric Chemistry and Physics, Vol 13, Iss 14, Pp 6777-6805 (2013) Physics QC1-999 Chemistry QD1-999 article 2013 ftdoajarticles https://doi.org/10.5194/acp-13-6777-2013 2022-12-31T14:14:37Z Aerosol retrievals from multiple spaceborne sensors, including MODIS (on Terra and Aqua), MISR, OMI, POLDER, CALIOP, and SeaWiFS – altogether, a total of 11 different aerosol products – were comparatively analyzed using data collocated with ground-based aerosol observations from the Aerosol Robotic Network (AERONET) stations within the Multi-sensor Aerosol Products Sampling System (MAPSS, http://giovanni.gsfc.nasa.gov/mapss/ and http://giovanni.gsfc.nasa.gov/aerostat/ . The analysis was performed by comparing quality-screened satellite aerosol optical depth or thickness (AOD or AOT) retrievals during 2006–2010 to available collocated AERONET measurements globally, regionally, and seasonally, and deriving a number of statistical measures of accuracy. We used a robust statistical approach to detect and remove possible outliers in the collocated data that can bias the results of the analysis. Overall, the proportion of outliers in each of the quality-screened AOD products was within 7%. Squared correlation coefficient ( R 2 ) values of the satellite AOD retrievals relative to AERONET exceeded 0.8 for many of the analyzed products, while root mean square error (RMSE) values for most of the AOD products were within 0.15 over land and 0.07 over ocean. We have been able to generate global maps showing regions where the different products present advantages over the others, as well as the relative performance of each product over different land cover types. It was observed that while MODIS, MISR, and SeaWiFS provide accurate retrievals over most of the land cover types, multi-angle capabilities make MISR the only sensor to retrieve reliable AOD over barren and snow/ice surfaces. Likewise, active sensing enables CALIOP to retrieve aerosol properties over bright-surface closed shrublands more accurately than the other sensors, while POLDER, which is the only one of the sensors capable of measuring polarized aerosols, outperforms other sensors in certain smoke-dominated regions, including broadleaf evergreens in Brazil and ... Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Atmospheric Chemistry and Physics 13 14 6777 6805 |
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English |
topic |
Physics QC1-999 Chemistry QD1-999 |
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Physics QC1-999 Chemistry QD1-999 M. Petrenko C. Ichoku Coherent uncertainty analysis of aerosol measurements from multiple satellite sensors |
topic_facet |
Physics QC1-999 Chemistry QD1-999 |
description |
Aerosol retrievals from multiple spaceborne sensors, including MODIS (on Terra and Aqua), MISR, OMI, POLDER, CALIOP, and SeaWiFS – altogether, a total of 11 different aerosol products – were comparatively analyzed using data collocated with ground-based aerosol observations from the Aerosol Robotic Network (AERONET) stations within the Multi-sensor Aerosol Products Sampling System (MAPSS, http://giovanni.gsfc.nasa.gov/mapss/ and http://giovanni.gsfc.nasa.gov/aerostat/ . The analysis was performed by comparing quality-screened satellite aerosol optical depth or thickness (AOD or AOT) retrievals during 2006–2010 to available collocated AERONET measurements globally, regionally, and seasonally, and deriving a number of statistical measures of accuracy. We used a robust statistical approach to detect and remove possible outliers in the collocated data that can bias the results of the analysis. Overall, the proportion of outliers in each of the quality-screened AOD products was within 7%. Squared correlation coefficient ( R 2 ) values of the satellite AOD retrievals relative to AERONET exceeded 0.8 for many of the analyzed products, while root mean square error (RMSE) values for most of the AOD products were within 0.15 over land and 0.07 over ocean. We have been able to generate global maps showing regions where the different products present advantages over the others, as well as the relative performance of each product over different land cover types. It was observed that while MODIS, MISR, and SeaWiFS provide accurate retrievals over most of the land cover types, multi-angle capabilities make MISR the only sensor to retrieve reliable AOD over barren and snow/ice surfaces. Likewise, active sensing enables CALIOP to retrieve aerosol properties over bright-surface closed shrublands more accurately than the other sensors, while POLDER, which is the only one of the sensors capable of measuring polarized aerosols, outperforms other sensors in certain smoke-dominated regions, including broadleaf evergreens in Brazil and ... |
format |
Article in Journal/Newspaper |
author |
M. Petrenko C. Ichoku |
author_facet |
M. Petrenko C. Ichoku |
author_sort |
M. Petrenko |
title |
Coherent uncertainty analysis of aerosol measurements from multiple satellite sensors |
title_short |
Coherent uncertainty analysis of aerosol measurements from multiple satellite sensors |
title_full |
Coherent uncertainty analysis of aerosol measurements from multiple satellite sensors |
title_fullStr |
Coherent uncertainty analysis of aerosol measurements from multiple satellite sensors |
title_full_unstemmed |
Coherent uncertainty analysis of aerosol measurements from multiple satellite sensors |
title_sort |
coherent uncertainty analysis of aerosol measurements from multiple satellite sensors |
publisher |
Copernicus Publications |
publishDate |
2013 |
url |
https://doi.org/10.5194/acp-13-6777-2013 https://doaj.org/article/6aa222381c9d41a3b192d8cd30db0878 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Atmospheric Chemistry and Physics, Vol 13, Iss 14, Pp 6777-6805 (2013) |
op_relation |
http://www.atmos-chem-phys.net/13/6777/2013/acp-13-6777-2013.pdf https://doaj.org/toc/1680-7316 https://doaj.org/toc/1680-7324 doi:10.5194/acp-13-6777-2013 1680-7316 1680-7324 https://doaj.org/article/6aa222381c9d41a3b192d8cd30db0878 |
op_doi |
https://doi.org/10.5194/acp-13-6777-2013 |
container_title |
Atmospheric Chemistry and Physics |
container_volume |
13 |
container_issue |
14 |
container_start_page |
6777 |
op_container_end_page |
6805 |
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1766022570558095360 |