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...

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Published in:IEEE Transactions on Geoscience and Remote Sensing
Main Authors: Zabolotskikh, Elizaveta, V, Khvorostovsky, Kirill S., Chapron, Bertrand
Format: Article in Journal/Newspaper
Language:English
Published: Ieee-inst Electrical Electronics Engineers Inc 2020
Subjects:
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/
id ftarchimer:oai:archimer.ifremer.fr:74085
record_format openpolar
spelling 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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