A Dark Target research aerosol algorithm for MODIS observations over eastern China: increasing coverage while maintaining accuracy at high aerosol loading
International audience Abstract. Satellite aerosol products such as the Dark Target (DT) produced from the MODerate resolution Imaging Spectroradiometer (MODIS) are useful for monitoring the progress of air pollution. Unfortunately, the DT often fails to retrieve during the heaviest aerosol events a...
Published in: | Atmospheric Measurement Techniques |
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Online Access: | https://hal.science/hal-03320477 https://hal.science/hal-03320477/document https://hal.science/hal-03320477/file/amt-14-3449-2021.pdf https://doi.org/10.5194/amt-14-3449-2021 |
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ftinsu:oai:HAL:hal-03320477v1 2024-02-11T09:54:47+01:00 A Dark Target research aerosol algorithm for MODIS observations over eastern China: increasing coverage while maintaining accuracy at high aerosol loading Shi, Yingxi Levy, Robert Yang, Leiku Remer, Lorraine Mattoo, Shana Dubovik, O. Laboratoire d’Optique Atmosphérique - UMR 8518 (LOA) Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS) 2021 https://hal.science/hal-03320477 https://hal.science/hal-03320477/document https://hal.science/hal-03320477/file/amt-14-3449-2021.pdf https://doi.org/10.5194/amt-14-3449-2021 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/amt-14-3449-2021 hal-03320477 https://hal.science/hal-03320477 https://hal.science/hal-03320477/document https://hal.science/hal-03320477/file/amt-14-3449-2021.pdf doi:10.5194/amt-14-3449-2021 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 1867-1381 EISSN: 1867-8548 Atmospheric Measurement Techniques https://hal.science/hal-03320477 Atmospheric Measurement Techniques, 2021, 14 (5), pp.3449-3468. ⟨10.5194/amt-14-3449-2021⟩ [SDE.MCG]Environmental Sciences/Global Changes [SDU]Sciences of the Universe [physics] info:eu-repo/semantics/article Journal articles 2021 ftinsu https://doi.org/10.5194/amt-14-3449-2021 2024-01-24T17:31:19Z International audience Abstract. Satellite aerosol products such as the Dark Target (DT) produced from the MODerate resolution Imaging Spectroradiometer (MODIS) are useful for monitoring the progress of air pollution. Unfortunately, the DT often fails to retrieve during the heaviest aerosol events as well as the more moderate events in winter. Some of the literature attributes this lack of retrieval to the cloud mask. However, we found this lack of retrieval is mainly traced to thresholds used for masking of inland water and snow. Modifications to these two masks greatly increase 50 % of the retrievals of aerosol optical depth at 0.55 µm (AOD) greater than 1.0. The “extra”-high-AOD retrievals tend to be biased when compared with a ground-based sun photometer (AErosol RObotic NETwork, AERONET). Reducing bias in new retrievals requires two additional steps. One is an update to the assumed aerosol optical properties (aerosol model); the haze in this region is both less absorbing and lower in altitude than what is assumed in the global algorithm. The second is accounting for the scale height of the aerosol, specifically that the heavy-aerosol events in the region are much closer to the surface than what is assumed by the global DT algorithm. The resulting combination of modified masking thresholds, new aerosol model, and lower aerosol layer scale height was applied to 3 months of MODIS observations (January–March 2013) over eastern China. After these two additional steps are implemented, the significant increase in new retrievals introduces no overall bias at a high-AOD regime but does degrade other overall validation statistics. We also find that the research algorithm is able to identify additional pollution events that AERONET instruments may not due to different spatial sampling. Mean AOD retrieved from the research algorithm increases from 0.11 to 0.18 compared to values calculated from the operational DT algorithm during January to March of 2013 over the study area. But near Beijing, where the severe ... Article in Journal/Newspaper Aerosol Robotic Network Institut national des sciences de l'Univers: HAL-INSU Atmospheric Measurement Techniques 14 5 3449 3468 |
institution |
Open Polar |
collection |
Institut national des sciences de l'Univers: HAL-INSU |
op_collection_id |
ftinsu |
language |
English |
topic |
[SDE.MCG]Environmental Sciences/Global Changes [SDU]Sciences of the Universe [physics] |
spellingShingle |
[SDE.MCG]Environmental Sciences/Global Changes [SDU]Sciences of the Universe [physics] Shi, Yingxi Levy, Robert Yang, Leiku Remer, Lorraine Mattoo, Shana Dubovik, O. A Dark Target research aerosol algorithm for MODIS observations over eastern China: increasing coverage while maintaining accuracy at high aerosol loading |
topic_facet |
[SDE.MCG]Environmental Sciences/Global Changes [SDU]Sciences of the Universe [physics] |
description |
International audience Abstract. Satellite aerosol products such as the Dark Target (DT) produced from the MODerate resolution Imaging Spectroradiometer (MODIS) are useful for monitoring the progress of air pollution. Unfortunately, the DT often fails to retrieve during the heaviest aerosol events as well as the more moderate events in winter. Some of the literature attributes this lack of retrieval to the cloud mask. However, we found this lack of retrieval is mainly traced to thresholds used for masking of inland water and snow. Modifications to these two masks greatly increase 50 % of the retrievals of aerosol optical depth at 0.55 µm (AOD) greater than 1.0. The “extra”-high-AOD retrievals tend to be biased when compared with a ground-based sun photometer (AErosol RObotic NETwork, AERONET). Reducing bias in new retrievals requires two additional steps. One is an update to the assumed aerosol optical properties (aerosol model); the haze in this region is both less absorbing and lower in altitude than what is assumed in the global algorithm. The second is accounting for the scale height of the aerosol, specifically that the heavy-aerosol events in the region are much closer to the surface than what is assumed by the global DT algorithm. The resulting combination of modified masking thresholds, new aerosol model, and lower aerosol layer scale height was applied to 3 months of MODIS observations (January–March 2013) over eastern China. After these two additional steps are implemented, the significant increase in new retrievals introduces no overall bias at a high-AOD regime but does degrade other overall validation statistics. We also find that the research algorithm is able to identify additional pollution events that AERONET instruments may not due to different spatial sampling. Mean AOD retrieved from the research algorithm increases from 0.11 to 0.18 compared to values calculated from the operational DT algorithm during January to March of 2013 over the study area. But near Beijing, where the severe ... |
author2 |
Laboratoire d’Optique Atmosphérique - UMR 8518 (LOA) Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
Shi, Yingxi Levy, Robert Yang, Leiku Remer, Lorraine Mattoo, Shana Dubovik, O. |
author_facet |
Shi, Yingxi Levy, Robert Yang, Leiku Remer, Lorraine Mattoo, Shana Dubovik, O. |
author_sort |
Shi, Yingxi |
title |
A Dark Target research aerosol algorithm for MODIS observations over eastern China: increasing coverage while maintaining accuracy at high aerosol loading |
title_short |
A Dark Target research aerosol algorithm for MODIS observations over eastern China: increasing coverage while maintaining accuracy at high aerosol loading |
title_full |
A Dark Target research aerosol algorithm for MODIS observations over eastern China: increasing coverage while maintaining accuracy at high aerosol loading |
title_fullStr |
A Dark Target research aerosol algorithm for MODIS observations over eastern China: increasing coverage while maintaining accuracy at high aerosol loading |
title_full_unstemmed |
A Dark Target research aerosol algorithm for MODIS observations over eastern China: increasing coverage while maintaining accuracy at high aerosol loading |
title_sort |
dark target research aerosol algorithm for modis observations over eastern china: increasing coverage while maintaining accuracy at high aerosol loading |
publisher |
HAL CCSD |
publishDate |
2021 |
url |
https://hal.science/hal-03320477 https://hal.science/hal-03320477/document https://hal.science/hal-03320477/file/amt-14-3449-2021.pdf https://doi.org/10.5194/amt-14-3449-2021 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
ISSN: 1867-1381 EISSN: 1867-8548 Atmospheric Measurement Techniques https://hal.science/hal-03320477 Atmospheric Measurement Techniques, 2021, 14 (5), pp.3449-3468. ⟨10.5194/amt-14-3449-2021⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/amt-14-3449-2021 hal-03320477 https://hal.science/hal-03320477 https://hal.science/hal-03320477/document https://hal.science/hal-03320477/file/amt-14-3449-2021.pdf doi:10.5194/amt-14-3449-2021 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/amt-14-3449-2021 |
container_title |
Atmospheric Measurement Techniques |
container_volume |
14 |
container_issue |
5 |
container_start_page |
3449 |
op_container_end_page |
3468 |
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1790604828640018432 |