报告题目：A novel framework for retrieving rain rates on Multi-channel Infrared observations from Chinese meteorology satellite FY4A
报告人：马自强 助理研究员
邀请人：胡斯勒图 研究员
时间：2020年10月27日10:00 星期二
地点：线上会议，腾讯会议ID：372 469 177
报告人简介：马自强，北京大学地球与空间科学学院j9游会真人游戏第一品牌所助理研究员。从事水文j9游会真人游戏第一品牌领域，方向为卫星j9游会真人游戏第一品牌降水。
主要内容：
Accurate and near-real-time precipitation estimates are great critical for monitoring and forecasting extreme precipitation events and hydrological related disasters. Targeting on the multi-channel infrared (IR) observations with finer resolutions (~ 2 km, ~ 10 min) from the latest Chinese meteorology satellite, Fengyun 4A (FY4A), this study proposed a novel framework in exploring the potentials of the observations for acquiring the rain estimations with fine quality, which characterizes in integrating Principal Component Analysis (PCA) technique, innovating a spatially dominated strategy for deciding the rain and no rain samples, and introducing an statistical distribution calibration procedure. Results of this study suggest that the framework is promising and applicable for Chinese FY series satellites in generating the rain estimations with finer quality and resolutions.
