Toward an Improved Wind Inversion Algorithm for RapidScat
9 pages, 8 figures, 5 tables.-- © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
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dig-icm-es-10261-1442552021-06-09T08:50:06Z Toward an Improved Wind Inversion Algorithm for RapidScat Lin, Wenming Portabella, Marcos Stoffelen, Ad Verhoef, Anton 9 pages, 8 figures, 5 tables.-- © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works The sea-surface winds from the RapidScat scatterometer (RSCAT) onboard the International Space Station (ISS) have been produced using the Pencil-beam scatterometer Wind Processor (PenWP) since December 2014. An inversion residual or Maximum Likelihood Estimator (MLE-) based quality control (QC) algorithm is included in PenWP to distinguish between good- and poor-quality winds. Generally, the QC-accepted RSCAT winds are in good agreement with both the Advanced Scatterometer (ASCAT) winds and the European Centre for Medium-range Weather Forecasting (ECMWF) model output. In contrast, the QC-rejected winds present an overall positive bias with respect to ASCAT and ECMWF winds, mainly due to the impact of rain. However, it has been recently found that a considerable portion (>5%) of RSCAT QC-rejected contains anomalously low retrieved speeds ($w\,{{< \text{4}\; \text{m}/ \text{s}}}$) under medium or high wind conditions ($w\;{{> \text{10}\; \text{m}/ \text{s}}}$) according to ASCAT/ECMWF. This paper attempts to sort out the cause for these spuriously low winds. A revised MLE inversion with prefiltering the anomalous backscatters is proposed to correct the mentioned inversion issue. The impact of such improved inversion on the retrieved RSCAT winds is evaluated using both the collocated ASCAT and ECMWF winds. The results show that the proposed algorithm improves the wind retrieval of the spuriously low wind cases remarkably, while preserving about 4.7% of the nominal QC-rejected data (0.25% in total) Peer Reviewed 2017-02-20T07:33:19Z 2017-02-20T07:33:19Z 2017-05 2017-02-20T07:33:21Z artículo http://purl.org/coar/resource_type/c_6501 issn: 1939-1404 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10(5) (2017) http://hdl.handle.net/10261/144255 10.1109/JSTARS.2016.2616889 https://doi.org/10.1109/JSTARS.2016.2616889 Sí open Institute of Electrical and Electronics Engineers |
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9 pages, 8 figures, 5 tables.-- © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works |
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Lin, Wenming Portabella, Marcos Stoffelen, Ad Verhoef, Anton |
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Lin, Wenming Portabella, Marcos Stoffelen, Ad Verhoef, Anton Toward an Improved Wind Inversion Algorithm for RapidScat |
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Lin, Wenming Portabella, Marcos Stoffelen, Ad Verhoef, Anton |
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Lin, Wenming |
title |
Toward an Improved Wind Inversion Algorithm for RapidScat |
title_short |
Toward an Improved Wind Inversion Algorithm for RapidScat |
title_full |
Toward an Improved Wind Inversion Algorithm for RapidScat |
title_fullStr |
Toward an Improved Wind Inversion Algorithm for RapidScat |
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Toward an Improved Wind Inversion Algorithm for RapidScat |
title_sort |
toward an improved wind inversion algorithm for rapidscat |
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Institute of Electrical and Electronics Engineers |
publishDate |
2017-05 |
url |
http://hdl.handle.net/10261/144255 |
work_keys_str_mv |
AT linwenming towardanimprovedwindinversionalgorithmforrapidscat AT portabellamarcos towardanimprovedwindinversionalgorithmforrapidscat AT stoffelenad towardanimprovedwindinversionalgorithmforrapidscat AT verhoefanton towardanimprovedwindinversionalgorithmforrapidscat |
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