NSSC OpenIR
Improved Rain Screening for Ku-Band Wind Scatterometry
Alternative TitleWOS:000538748900018;20201508402569
Xu, Xingou; Stoffelen, Ad1
Source PublicationIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
2020
Volume58Issue:4Pages:2494-2503
DOI10.1109/TGRS.2019.2951726
ISSN0196-2892
Language英语
KeywordRain Radar measurements Maximum likelihood estimation Spaceborne radar Wind Sea surface False alarms Ku-band wind scatterometry probability of detection (POD) quality control (QC) rain spatial characteristics QUALITY-CONTROL ASCAT
AbstractSpaceborne scatterometers for ocean surface winds usually operate in Ku- or C-band. Rather strict quality control (QC) procedures are included in the Ku-band wind retrieval chain for labeling rain-contaminated observations. Existing QC factors represent the deviation of measurements from the wind geophysical model function (GMF) modeled measurement surface. Other QC indicators flag outliers by examining neighborhood consistency. In this article, spatial heterogeneity of rain is further exploited by a new indicator for Ku-band QC, namely, , the speed component of the observation cost function, , of the selected solution in the 2-D variational ambiguity removal (2-DVAR) step of the wind retrieval. First, the characteristics of 2-DVAR speeds in rainy condition are analyzed, and then, the ability of in quality labeling is proposed and verified by applying it to the Ku-band scatterometer on-board ScatSat. Its effectiveness for rain screening is confirmed with collocated references from the C-band scatterometer on-board the MetOp-B satellite, which are much less affected by rain. With reference to collocated rain rates from the Global Precipitation Mission (GPM), the more direct relations to rain and wind speed errors of the newly proposed QC indicator than existing QC indicators, including are illustrated by the analysis of its correlation with rain rates. In a novel approach, is applied to accept (unflag) more than 75 & x0025; of the data rejected by the widely applied maximum likelihood estimation (MLE) thresholds (i.e., correct false alarms) in the tropics. The promising results open a new opportunity for improving QC of rain in the Ku-band wind scatterometry benefitting scatterometer applications.
Indexed BySCI ; EI
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/7678
Collection中国科学院国家空间科学中心
Affiliation1.Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China
2.Royal Netherlands Meteorol Inst, Grp Act Satellite Sensing, NL-3730 AE De Bilt, Netherlands
Recommended Citation
GB/T 7714
Xu, Xingou,Stoffelen, Ad. Improved Rain Screening for Ku-Band Wind Scatterometry[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2020,58(4):2494-2503.
APA Xu, Xingou,&Stoffelen, Ad.(2020).Improved Rain Screening for Ku-Band Wind Scatterometry.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,58(4),2494-2503.
MLA Xu, Xingou,et al."Improved Rain Screening for Ku-Band Wind Scatterometry".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 58.4(2020):2494-2503.
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