Rain False-Alarm-Rate Reduction for CSCAT

Xingou Xu, Ad Stoffelen, Wenming Lin, Xiaolong Dong

In tropical regions, Ku-band scatterometer observations are affected by heavy rain, and affected data are labeled in the quality control (QC) step during wind product generation. This is achieved by setting thresholds for QC indicators. Among the applied indicators, it has been shown that Joss can be beneficially applied for reducing the false alarm rate (FAR) for Ku-band observations for data sets collocated to C-band observations. In this letter, the FAR reduction method based on Joss is further generalized to be tested without collocated C-band observations, which extension is subsequently applied to the CSCAT wind products. Results prove the effectiveness of the FAR reduction method without C-band collocations for Ku-band scatterometers. Verification with rain rates from the Global Precipitation Mission (GPM) proves the capability of the recruited data set to benefit nowcasting applications. Moreover, the results of this research indicate the consistency of products in rainy conditions for the new rotating-fan-beam CSCAT and the existing rotating-pencil-beam Ku-band scatterometers. Further research would be to analyze detailed rain effects in different rain development stages in a wind vector cell (WVC) for tropical regions.

Bibliographic data

Xingou Xu, Ad Stoffelen, Wenming Lin, Xiaolong Dong . Rain False-Alarm-Rate Reduction for CSCAT
Journal: IEEE Geoscience and Remote Sensing Letters, Volume: 19, Year: 2020, doi: https://doi.org/10.1109/LGRS.2020.3039622