馬自強助理研究員——遙感科學國家重點實驗室2020年系列學術(shù)講座之六
來源：發(fā)布時間：2020-10-22
報告題目：A novel framework for retrieving rain rates on Multi-channel Infrared observations from Chinese meteorology satellite FY4A
報告人：馬自強 助理研究員
邀請人：胡斯勒圖 研究員
時間：2020年10月27日10:00 星期二
地點：線上會議，騰訊會議ID：372 469 177
報告人簡介：馬自強，北京大學地球與空間科學學院遙感所助理研究員。從事水文遙感領(lǐng)域，方向為衛(wèi)星遙感降水。
主要內(nèi)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.
- 附件下載
-