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 Netw...
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ftnasantrs:oai:casi.ntrs.nasa.gov:20140010899 2023-05-15T13:06:46+02:00 Coherent Uncertainty Analysis of Aerosol Measurements from Multiple Satellite Sensors Petrenko, M. Ichoku, C. Unclassified, Unlimited, Publicly available July 22, 2013 application/pdf http://hdl.handle.net/2060/20140010899 unknown Document ID: 20140010899 http://hdl.handle.net/2060/20140010899 Copyright, Distribution as joint owner in the copyright CASI Earth Resources and Remote Sensing GSFC-E-DAA-TN7850 Atmospheric Chemistry and Physics; 13; 6777-6805 2013 ftnasantrs 2019-07-21T00:26:50Z 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 12%. Squared correlation coefficient (R2) values of the satellite AOD retrievals relative to AERONET exceeded 0.6, with R2 for most of the products exceeding 0.7 over land and 0.8 over ocean. Root mean square error (RMSE) values for most of the AOD products were within 0.15 over land and 0.09 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 landcover types. It was observed that while MODIS, MISR, and SeaWiFS provide accurate retrievals over most of the landcover 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 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 South-East Asia. Other/Unknown Material Aerosol Robotic Network NASA Technical Reports Server (NTRS) |
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NASA Technical Reports Server (NTRS) |
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Earth Resources and Remote Sensing |
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Earth Resources and Remote Sensing Petrenko, M. Ichoku, C. Coherent Uncertainty Analysis of Aerosol Measurements from Multiple Satellite Sensors |
topic_facet |
Earth Resources and Remote Sensing |
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 12%. Squared correlation coefficient (R2) values of the satellite AOD retrievals relative to AERONET exceeded 0.6, with R2 for most of the products exceeding 0.7 over land and 0.8 over ocean. Root mean square error (RMSE) values for most of the AOD products were within 0.15 over land and 0.09 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 landcover types. It was observed that while MODIS, MISR, and SeaWiFS provide accurate retrievals over most of the landcover 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 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 South-East Asia. |
format |
Other/Unknown Material |
author |
Petrenko, M. Ichoku, C. |
author_facet |
Petrenko, M. Ichoku, C. |
author_sort |
Petrenko, M. |
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 |
publishDate |
2013 |
url |
http://hdl.handle.net/2060/20140010899 |
op_coverage |
Unclassified, Unlimited, Publicly available |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
CASI |
op_relation |
Document ID: 20140010899 http://hdl.handle.net/2060/20140010899 |
op_rights |
Copyright, Distribution as joint owner in the copyright |
_version_ |
1766020070831554560 |