Improvement of Ku-band pencil-beam scatterometer wind quality control under moist convection conditions
2019 Joint Satellite Conference, 28 September - 4 October 2019, Boston
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American Meteorological Society
2019-10-02
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2019 Joint Satellite Conference, 28 September - 4 October 2019, Boston |
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póster de congreso |
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Lin, Wenming Portabella, Marcos Stoffelen, Ad Verhoef, Anton Wang, Zhixiong Xu, Xing-ou |
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Lin, Wenming Portabella, Marcos Stoffelen, Ad Verhoef, Anton Wang, Zhixiong Xu, Xing-ou Improvement of Ku-band pencil-beam scatterometer wind quality control under moist convection conditions |
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Lin, Wenming Portabella, Marcos Stoffelen, Ad Verhoef, Anton Wang, Zhixiong Xu, Xing-ou |
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Lin, Wenming |
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Improvement of Ku-band pencil-beam scatterometer wind quality control under moist convection conditions |
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Improvement of Ku-band pencil-beam scatterometer wind quality control under moist convection conditions |
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Improvement of Ku-band pencil-beam scatterometer wind quality control under moist convection conditions |
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Improvement of Ku-band pencil-beam scatterometer wind quality control under moist convection conditions |
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Improvement of Ku-band pencil-beam scatterometer wind quality control under moist convection conditions |
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improvement of ku-band pencil-beam scatterometer wind quality control under moist convection conditions |
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American Meteorological Society |
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2019-10-02 |
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http://hdl.handle.net/10261/243201 |
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AT linwenming improvementofkubandpencilbeamscatterometerwindqualitycontrolundermoistconvectionconditions AT portabellamarcos improvementofkubandpencilbeamscatterometerwindqualitycontrolundermoistconvectionconditions AT stoffelenad improvementofkubandpencilbeamscatterometerwindqualitycontrolundermoistconvectionconditions AT verhoefanton improvementofkubandpencilbeamscatterometerwindqualitycontrolundermoistconvectionconditions AT wangzhixiong improvementofkubandpencilbeamscatterometerwindqualitycontrolundermoistconvectionconditions AT xuxingou improvementofkubandpencilbeamscatterometerwindqualitycontrolundermoistconvectionconditions |
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dig-icm-es-10261-2432012021-06-11T07:52:28Z Improvement of Ku-band pencil-beam scatterometer wind quality control under moist convection conditions Lin, Wenming Portabella, Marcos Stoffelen, Ad Verhoef, Anton Wang, Zhixiong Xu, Xing-ou 2019 Joint Satellite Conference, 28 September - 4 October 2019, Boston Following the success of the QuikSCAT, Oceansat-2, HY-2A, and RapidScat missions, a new Ku-band rotating pencil-beam scatterometer, ScatSat-1 from the Indian Space Research Organization (ISRO) was launched in September 2016. Scatterometer sea surface winds have been used in a wide variety of atmospheric, oceanic, and climate applications. Moreover, thanks to the near-real-time data distribution of most missions, scatterometer wind data have been successfully assimilated into numerical weather prediction models for more than two decades. In the framework of the EUMETSAT Numerical Weather Prediction Satellite Application Facility (NWP SAF) and Ocean and Sea Ice Satellite Application Facility (OSI SAF), the Royal Netherlands Meteorological Institute (KNMI) has developed the so-called Pencil-beam Wind data Processor (PenWP), which has provided and provides near-real-time Level 2 (swath-based) sea surface wind fields for all past and current rotating pencil-beam scatterometer missions. The main components of PenWP include calibration, inversion, quality control, and ambiguity removal. Research & Development activities within the NWP SAF and OSI SAF over the past 15 years have focused on the improvement of the different algorithms of the scatterometer wind data processors, including PenWP. Recent results show that the Ku-band quality control (QC) can be further improved. Following the recent development of the Ku-band forward model, in this paper we focus on providing a new Ku-band pencil-beam scatterometer QC, which successfully filters poor quality winds while keeping the ScatSat-1 good quality winds, including those acceptable retrievals under increased wind variability conditions. In the current version of PenWP, a maximum likelihood estimator (MLE-) based QC is used to discern between good- and poor-quality winds. MLE QC is generally effective in flagging rain contamination and increased sub-cell wind variability in the ocean surface wind vectors derived from Ku-band pencil-beam scatterometers. However, the MLE is not an effective quality indicator over the outer swath where the inversion is underdetermined due to the lack of azimuthal diversity (including lack of horizontal polarized measurements). Besides, it is challenging to discriminate rain contamination from “true” high winds. In this paper, recent developments for Ku-band QC are adopted for ScatSat-1 data. In addition to the MLE, two wind quality-sensitive indicators are used: the spatially averaged MLE value (MLEm), and the singularity exponent (SE) derived from an image processing technique called singularity analysis. Their sensitivities to data quality and rain are evaluated using collocated Advanced Scatterometer (ASCAT) wind data, and Global Precipitation Measurement satellite’s Microwave Imager (GMI) rain data respectively. It confirms that MLE is a very effective rain indicator in the inner swath, allowing further optimization. It also shows that MLEm and notably SE are the most effective indicators for filtering rain over the ScatSat-1 outer swath. A combined MLE(m) and SE QC is proposed to optimize ScatSat-1 wind QC. In comparison to the operational PenWP QC, the proposed method mitigates over-rejection at high winds, and improves the classification of good- and poor-quality winds. The new QC will soon be implemented in PenWP, leading to improved wind retrievals in both the recently launched Ku-band scatterometer missions, i.e., CFOSAT (October 2018) and HY-2B (November 2018), currently in commissioning phase, as well as the upcoming Oceansat-3 mission. Reprocessing of past missions will also benefit from the new QC 2021-06-11T07:50:11Z 2021-06-11T07:50:11Z 2019-10-02 2021-06-11T07:50:12Z póster de congreso http://purl.org/coar/resource_type/c_6670 2019 Joint Satellite Conference (2019) http://hdl.handle.net/10261/243201 Sí none American Meteorological Society |