报告题目：A GNSS-based Novel Approach to Recover FY-3B Satellite Precipitable Water Vapor (PWV) Data and an Experiment to Assimilate Satellite-based Near-Infrared PWV into NWP
报告人：刘志赵 教授
地 点：仙林大气楼D103
时 间：2023年12月5日，周二下午4:00-5:30
报告摘要:
The Medium Resolution Spectral Imager (MERSI) near-infrared (NIR) channels onboard the Chinese Fengyun-3B (FY-3B, 2010-2020) satellite are used to make precipitable water vapor (PWV) measurements. There is currently no valid PWV data available from the FY-3B satellite, which significantly affects the continuity of PWV data time series of the Chinese Fengyun mission. A novel Global Navigation Satellite System (GNSS)-based approach has been developed to successfully recover the PWV data from FY-3B. The retrieved water vapor data demonstrates an accuracy similar to that of the MODIS sensor onboard the NASA’s Aqua and Terra satellites. We will show the result of our experiment of assimilating satellite-based NIR PWV into Numerical Weather Prediction (NWP) models, i.e. the Weather Research and Forecasting (WRF) model. To the best of our knowledge, we are arguably the 2nd team in the world to assimilate NIR satellite PWV into NWP, after the U.K. Met Office which is the world’s first agency to operationally assimilate satellite NIR PWV into its global NWP since May 2022. Different from the U.K. Met Office, the NIR PWV dataset we assimilate has been calibrated using our Lab’s new approach thus it has a better accuracy. A comparison of assimilating calibrated and non-calibrated NIR PWV will be shown.
报告人简介:
刘志赵，香港理工大学土地测量及地理资讯学系教授、系副主任。他领导的Micro-LARGE实验室在GNSS卫星精密定位技术和算法、应用GNSS及遥感卫星监测大气水汽和电离层变化，卫星遥感水汽数据的反演和订正等方面有独特的发展创新；所研发的多个GNSS数据处理基础算法被国内外广泛应用；创新性地提出基于“非物理模型”和“GNSS水汽时空大数据”反演和订正卫星遥感水汽数据的概念，在国际上首次实现了全天候（包括有云情况）近红外NIR波段卫星遥感水汽数据订正。刘教授曾获香港政府研究资助局2012年首届“杰出青年学者奖”等奖励，是全球华人导航定位协会(CPGPS)创会会员并长期担任理事，并于2013年担任CPGPS主席。
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