An Advanced Algorithm to Retrieve Total Atmospheric Water Vapor Content From the Advanced Microwave Scanning Radiometer Data Over Sea Ice and Sea Water Surfaces in the Arctic
An advanced algorithm for atmospheric water vapor column (WVC) retrieval from the Advanced Microwave Scanning Radiometer (AMSR) measurements over the Arctic sea ice (SI) and open ocean waters is presented. The algorithm is built on the physical modeling of the brightness temperature (BT) of the micr...
Published in: | IEEE Transactions on Geoscience and Remote Sensing |
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Ieee-inst Electrical Electronics Engineers Inc
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Online Access: | https://archimer.ifremer.fr/doc/00629/74085/73597.pdf https://doi.org/10.1109/TGRS.2019.2948289 https://archimer.ifremer.fr/doc/00629/74085/ |
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ftarchimer:oai:archimer.ifremer.fr:74085 2023-05-15T14:43:19+02:00 An Advanced Algorithm to Retrieve Total Atmospheric Water Vapor Content From the Advanced Microwave Scanning Radiometer Data Over Sea Ice and Sea Water Surfaces in the Arctic Zabolotskikh, Elizaveta, V Khvorostovsky, Kirill S. Chapron, Bertrand 2020-05 application/pdf https://archimer.ifremer.fr/doc/00629/74085/73597.pdf https://doi.org/10.1109/TGRS.2019.2948289 https://archimer.ifremer.fr/doc/00629/74085/ eng eng Ieee-inst Electrical Electronics Engineers Inc https://archimer.ifremer.fr/doc/00629/74085/73597.pdf doi:10.1109/TGRS.2019.2948289 https://archimer.ifremer.fr/doc/00629/74085/ info:eu-repo/semantics/openAccess restricted use Ieee Transactions On Geoscience And Remote Sensing (0196-2892) (Ieee-inst Electrical Electronics Engineers Inc), 2020-05 , Vol. 58 , N. 5 , P. 3123-3135 Advanced Microwave Scanning Radiometer (AMSR) Arctic atmospheric water vapor column (WVC) brightness temperature (BT) neural networks (NNs) retrieval algorithm sea ice (SI) text Publication info:eu-repo/semantics/article 2020 ftarchimer https://doi.org/10.1109/TGRS.2019.2948289 2021-09-23T20:35:08Z An advanced algorithm for atmospheric water vapor column (WVC) retrieval from the Advanced Microwave Scanning Radiometer (AMSR) measurements over the Arctic sea ice (SI) and open ocean waters is presented. The algorithm is built on the physical modeling of the brightness temperature (BT) of the microwave radiation of the SI-open ocean-atmosphere system at the AMSR frequencies and polarizations. The BTs are calculated using a data set of the SI, atmospheric, and oceanic parameters changing in the range of their natural variability in the Arctic, and using the SI microwave emission coefficients varied according to the published experimental data. The inverse operator explores neural networks (NNs), trained on an ensemble of modeled BTs. The algorithm is applied both to the AMSR-E and to the AMSR2 measurement data. Validation of the algorithm is performed with radiosonde (r/s) WVC measurements from the four Arctic coastal stations at different SI conditions during 2014-2017. The results of the application of the new algorithm to satellite radiometer measurements are also compared with the Era-Interim reanalysis WVC, as well as with other satellite WVC products, based on the data of the Moderate Resolution Imaging Spectrometer (MODIS) and on the data of the Advanced Microwave Sounding Unit-B (AMSU-B) for 2008 and 2015. To justify the usage of the Era-Interim WVC as a reference data set for the algorithm accuracy estimation in the Arctic area, Era-Interim WVC is also compared with the r/s WVC measurements. Article in Journal/Newspaper Arctic Sea ice Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer) Arctic IEEE Transactions on Geoscience and Remote Sensing 58 5 3123 3135 |
institution |
Open Polar |
collection |
Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer) |
op_collection_id |
ftarchimer |
language |
English |
topic |
Advanced Microwave Scanning Radiometer (AMSR) Arctic atmospheric water vapor column (WVC) brightness temperature (BT) neural networks (NNs) retrieval algorithm sea ice (SI) |
spellingShingle |
Advanced Microwave Scanning Radiometer (AMSR) Arctic atmospheric water vapor column (WVC) brightness temperature (BT) neural networks (NNs) retrieval algorithm sea ice (SI) Zabolotskikh, Elizaveta, V Khvorostovsky, Kirill S. Chapron, Bertrand An Advanced Algorithm to Retrieve Total Atmospheric Water Vapor Content From the Advanced Microwave Scanning Radiometer Data Over Sea Ice and Sea Water Surfaces in the Arctic |
topic_facet |
Advanced Microwave Scanning Radiometer (AMSR) Arctic atmospheric water vapor column (WVC) brightness temperature (BT) neural networks (NNs) retrieval algorithm sea ice (SI) |
description |
An advanced algorithm for atmospheric water vapor column (WVC) retrieval from the Advanced Microwave Scanning Radiometer (AMSR) measurements over the Arctic sea ice (SI) and open ocean waters is presented. The algorithm is built on the physical modeling of the brightness temperature (BT) of the microwave radiation of the SI-open ocean-atmosphere system at the AMSR frequencies and polarizations. The BTs are calculated using a data set of the SI, atmospheric, and oceanic parameters changing in the range of their natural variability in the Arctic, and using the SI microwave emission coefficients varied according to the published experimental data. The inverse operator explores neural networks (NNs), trained on an ensemble of modeled BTs. The algorithm is applied both to the AMSR-E and to the AMSR2 measurement data. Validation of the algorithm is performed with radiosonde (r/s) WVC measurements from the four Arctic coastal stations at different SI conditions during 2014-2017. The results of the application of the new algorithm to satellite radiometer measurements are also compared with the Era-Interim reanalysis WVC, as well as with other satellite WVC products, based on the data of the Moderate Resolution Imaging Spectrometer (MODIS) and on the data of the Advanced Microwave Sounding Unit-B (AMSU-B) for 2008 and 2015. To justify the usage of the Era-Interim WVC as a reference data set for the algorithm accuracy estimation in the Arctic area, Era-Interim WVC is also compared with the r/s WVC measurements. |
format |
Article in Journal/Newspaper |
author |
Zabolotskikh, Elizaveta, V Khvorostovsky, Kirill S. Chapron, Bertrand |
author_facet |
Zabolotskikh, Elizaveta, V Khvorostovsky, Kirill S. Chapron, Bertrand |
author_sort |
Zabolotskikh, Elizaveta, V |
title |
An Advanced Algorithm to Retrieve Total Atmospheric Water Vapor Content From the Advanced Microwave Scanning Radiometer Data Over Sea Ice and Sea Water Surfaces in the Arctic |
title_short |
An Advanced Algorithm to Retrieve Total Atmospheric Water Vapor Content From the Advanced Microwave Scanning Radiometer Data Over Sea Ice and Sea Water Surfaces in the Arctic |
title_full |
An Advanced Algorithm to Retrieve Total Atmospheric Water Vapor Content From the Advanced Microwave Scanning Radiometer Data Over Sea Ice and Sea Water Surfaces in the Arctic |
title_fullStr |
An Advanced Algorithm to Retrieve Total Atmospheric Water Vapor Content From the Advanced Microwave Scanning Radiometer Data Over Sea Ice and Sea Water Surfaces in the Arctic |
title_full_unstemmed |
An Advanced Algorithm to Retrieve Total Atmospheric Water Vapor Content From the Advanced Microwave Scanning Radiometer Data Over Sea Ice and Sea Water Surfaces in the Arctic |
title_sort |
advanced algorithm to retrieve total atmospheric water vapor content from the advanced microwave scanning radiometer data over sea ice and sea water surfaces in the arctic |
publisher |
Ieee-inst Electrical Electronics Engineers Inc |
publishDate |
2020 |
url |
https://archimer.ifremer.fr/doc/00629/74085/73597.pdf https://doi.org/10.1109/TGRS.2019.2948289 https://archimer.ifremer.fr/doc/00629/74085/ |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
Ieee Transactions On Geoscience And Remote Sensing (0196-2892) (Ieee-inst Electrical Electronics Engineers Inc), 2020-05 , Vol. 58 , N. 5 , P. 3123-3135 |
op_relation |
https://archimer.ifremer.fr/doc/00629/74085/73597.pdf doi:10.1109/TGRS.2019.2948289 https://archimer.ifremer.fr/doc/00629/74085/ |
op_rights |
info:eu-repo/semantics/openAccess restricted use |
op_doi |
https://doi.org/10.1109/TGRS.2019.2948289 |
container_title |
IEEE Transactions on Geoscience and Remote Sensing |
container_volume |
58 |
container_issue |
5 |
container_start_page |
3123 |
op_container_end_page |
3135 |
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1766314989822410752 |