大气科学前沿论坛系列报告
报告地点:zoom会议室:897 8780 2309
报告时间:2022-12-15 从 10:00 到 11:30
报告人:尤亚磊
报告人简介:
尤亚磊,北卡罗来纳大学威明顿分校助理教授
报告题目:Improving Cross-Track Scanning Radiometers’ Precipitation Retrieval over Ocean by Morphing
报告内容简介
Previous studies showed that conical scanning radiometers greatly
outperform cross-track scanning radiometers for precipitation retrieval over
ocean. This study demonstrates a novel approach to improve precipitation rates
at the cross-track scanning radiometers’ observation time by propagating the
conical scanning radiometers’ retrievals to the cross-track scanning
radiometers’ observation time. The improved precipitation rate is a weighted
average of original cross-track radiometers’ retrievals and retrievals
propagated from a conical scanning radiometer. The cross-track scanning
radiometers include the Advanced Technology Microwave Sounder (ATMS) on board
the SNPP satellite and four Microwave Humidity Sounders (MHSs). The conical
scanning radiometers include the Advanced Microwave Scanning Radiometer 2
(AMSR2) and three Special Sensor Microwave Imager/Sounders (SSMISs), while the
precipitation retrievals from the Global Precipitation Measurement (GPM)
Microwave Imager (GMI) are taken as the reference. Results show that the
morphed precipitation rates agree much better with the reference. The degree of
improvement depends on several factors, including the propagated precipitation
source, the time interval between the cross-track scanning radiometer and the
conical scanning radiometer, the precipitation type (convective versus
stratiform), the precipitation events’ size, and the geolocation. The study has
potential to greatly improve high-impact weather systems monitoring (e.g.,
hurricanes) and multi-satellite precipitation products. It may also enhance the
usefulness of future satellite missions with cross-track scanning radiometers
on board.