Improved ASCAT Wind Retrieval Using NWP Ocean Calibration
7 pages, 6 figures, 1 table The Advanced Scatterometer (ASCAT) wind data processor (AWDP) currently uses the so called CMOD5n geophysical model function (GMF), which was originally derived for the European Remote Sensing (ERS) scatterometers. In order to deliver a high-quality ASCAT wind product, th...
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ftcsic:oai:digital.csic.es:10261/71969 2023-05-15T18:19:00+02:00 Improved ASCAT Wind Retrieval Using NWP Ocean Calibration Verspeek, Jeroen Stoffelen, Ad Verhoef, Anton Portabella, Marcos 2012-07 http://hdl.handle.net/10261/71969 https://doi.org/10.1109/TGRS.2011.2180730 eng eng Institute of Electrical and Electronics Engineers http://dx.doi.org/10.1109/TGRS.2011.2180730 IEEE Transactions on Geoscience and Remote Sensing 50(7): 2488-2494 (2012) 0196-2892 http://hdl.handle.net/10261/71969 doi:10.1109/TGRS.2011.2180730 closedAccess Calibration Radar scattering Scatterometer Wind Backscatter Maximum likelihood estimation Sea measurements Wind speed ArtÃculo 2012 ftcsic https://doi.org/10.1109/TGRS.2011.2180730 2019-01-02T00:19:17Z 7 pages, 6 figures, 1 table The Advanced Scatterometer (ASCAT) wind data processor (AWDP) currently uses the so called CMOD5n geophysical model function (GMF), which was originally derived for the European Remote Sensing (ERS) scatterometers. In order to deliver a high-quality ASCAT wind product, the operational AWDP uses backscatter measurement corrections that are estimated visually (VOC) for each wind vector cell. We propose an alternative and previously established method for estimating correction tables based on numerical weather prediction ocean calibration residuals (NOC). It embodies a smooth incidence-angle dependent part that could serve as an appropriate ASCAT GMF correction, and a radar-beam-dependent residual. The incidence-angle-dependent part of these correction tables is due to differences in calibration procedure of the ERS and ASCAT scatterometers. For the high ASCAT incidence angles for which the GMF has not been assessed by ERS data, the modification is quite large, almost 1 dB. The incidence angle-dependent part is derived by fitting the OC residuals of all beams obtained over one year of data. It is subsequently used to adapt the GMF (yielding CMOD5na). The remaining radar-beam-dependent residual (NOCa) shows a wiggle pattern as function of incidence angle that is very persistent over time, apart from a seasonally varying offset. Both the effects of the GMF modification and the beam-dependent residual on the wind retrieval quality are investigated in this paper. Overall, the performance of NOC is better than that obtained with the previously used VOC calibration method, and the wind statistics show a much better symmetry of the left and right swath for NOC. The beam-dependent corrections improve the quality of the retrieved winds. NOC may thus be used for the intercalibration of the ERS and ASCAT scatterometers The authors wish to thank their colleagues from EUMETSAT and KNMI, Craig Anderson, Hans Bonekamp, Julia Figa and Jur Vogelzang, for their interest in this work, stimulating discussions, provision of data and helpful advice. Footnote: This work is done in the framework of the Ocean and Sea Ice Satellite Application Facility (OSI SAF) and its visiting scientist scheme. The ASCAT winds produced at KNMI can be obtained free of charge from the OSI SAF web site. AWDP has been funded by EUMETSAT in the context of the NWP SAF and can be obtained free of charge from the NWP SAF web site (Helpdesk: scat@knmi.nl) Peer reviewed Article in Journal/Newspaper Sea ice Digital.CSIC (Spanish National Research Council) IEEE Transactions on Geoscience and Remote Sensing 50 7 2488 2494 |
institution |
Open Polar |
collection |
Digital.CSIC (Spanish National Research Council) |
op_collection_id |
ftcsic |
language |
English |
topic |
Calibration Radar scattering Scatterometer Wind Backscatter Maximum likelihood estimation Sea measurements Wind speed |
spellingShingle |
Calibration Radar scattering Scatterometer Wind Backscatter Maximum likelihood estimation Sea measurements Wind speed Verspeek, Jeroen Stoffelen, Ad Verhoef, Anton Portabella, Marcos Improved ASCAT Wind Retrieval Using NWP Ocean Calibration |
topic_facet |
Calibration Radar scattering Scatterometer Wind Backscatter Maximum likelihood estimation Sea measurements Wind speed |
description |
7 pages, 6 figures, 1 table The Advanced Scatterometer (ASCAT) wind data processor (AWDP) currently uses the so called CMOD5n geophysical model function (GMF), which was originally derived for the European Remote Sensing (ERS) scatterometers. In order to deliver a high-quality ASCAT wind product, the operational AWDP uses backscatter measurement corrections that are estimated visually (VOC) for each wind vector cell. We propose an alternative and previously established method for estimating correction tables based on numerical weather prediction ocean calibration residuals (NOC). It embodies a smooth incidence-angle dependent part that could serve as an appropriate ASCAT GMF correction, and a radar-beam-dependent residual. The incidence-angle-dependent part of these correction tables is due to differences in calibration procedure of the ERS and ASCAT scatterometers. For the high ASCAT incidence angles for which the GMF has not been assessed by ERS data, the modification is quite large, almost 1 dB. The incidence angle-dependent part is derived by fitting the OC residuals of all beams obtained over one year of data. It is subsequently used to adapt the GMF (yielding CMOD5na). The remaining radar-beam-dependent residual (NOCa) shows a wiggle pattern as function of incidence angle that is very persistent over time, apart from a seasonally varying offset. Both the effects of the GMF modification and the beam-dependent residual on the wind retrieval quality are investigated in this paper. Overall, the performance of NOC is better than that obtained with the previously used VOC calibration method, and the wind statistics show a much better symmetry of the left and right swath for NOC. The beam-dependent corrections improve the quality of the retrieved winds. NOC may thus be used for the intercalibration of the ERS and ASCAT scatterometers The authors wish to thank their colleagues from EUMETSAT and KNMI, Craig Anderson, Hans Bonekamp, Julia Figa and Jur Vogelzang, for their interest in this work, stimulating discussions, provision of data and helpful advice. Footnote: This work is done in the framework of the Ocean and Sea Ice Satellite Application Facility (OSI SAF) and its visiting scientist scheme. The ASCAT winds produced at KNMI can be obtained free of charge from the OSI SAF web site. AWDP has been funded by EUMETSAT in the context of the NWP SAF and can be obtained free of charge from the NWP SAF web site (Helpdesk: scat@knmi.nl) Peer reviewed |
format |
Article in Journal/Newspaper |
author |
Verspeek, Jeroen Stoffelen, Ad Verhoef, Anton Portabella, Marcos |
author_facet |
Verspeek, Jeroen Stoffelen, Ad Verhoef, Anton Portabella, Marcos |
author_sort |
Verspeek, Jeroen |
title |
Improved ASCAT Wind Retrieval Using NWP Ocean Calibration |
title_short |
Improved ASCAT Wind Retrieval Using NWP Ocean Calibration |
title_full |
Improved ASCAT Wind Retrieval Using NWP Ocean Calibration |
title_fullStr |
Improved ASCAT Wind Retrieval Using NWP Ocean Calibration |
title_full_unstemmed |
Improved ASCAT Wind Retrieval Using NWP Ocean Calibration |
title_sort |
improved ascat wind retrieval using nwp ocean calibration |
publisher |
Institute of Electrical and Electronics Engineers |
publishDate |
2012 |
url |
http://hdl.handle.net/10261/71969 https://doi.org/10.1109/TGRS.2011.2180730 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
http://dx.doi.org/10.1109/TGRS.2011.2180730 IEEE Transactions on Geoscience and Remote Sensing 50(7): 2488-2494 (2012) 0196-2892 http://hdl.handle.net/10261/71969 doi:10.1109/TGRS.2011.2180730 |
op_rights |
closedAccess |
op_doi |
https://doi.org/10.1109/TGRS.2011.2180730 |
container_title |
IEEE Transactions on Geoscience and Remote Sensing |
container_volume |
50 |
container_issue |
7 |
container_start_page |
2488 |
op_container_end_page |
2494 |
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1766195821200539648 |