MO3.P4.2
INVESTIGATION OF IMPACT OF SATELLITE REMOTE SENSING DATA ON THE AI WEATHER PREDICTION COUPLING WITH PHYSICS-BASED DATA ASSIMILATION
Peiming Dong, Sai Zhang, Donghai Laboratory, China; Wanlin Kan, Nanjing Innovation Institute for Atmospheric Sciences, China; Xin Zhang, Donghai Laboratory, China
Session:
MO3.P4: Radiative Transfer and Data Assimilation for Weather Forecasting Oral
Track:
Atmosphere Applications
Location:
Plaza: Room P4
Presentation Time:
Monday, 4 August, 13:15 - 13:30
Session Chair:
Yong Xue, Nanjing University of Information Science and Technology
Session MO3.P4
MO3.P4.1: THE GENERIC SIMULATIONS OF THE ADVANCED VECTOR DISCRETE ORDINATE RADIATIVE TRANSFER MODEL AT SOLAR AND MICROWAVE WAVELENGTHS
Ziqiang Zhu, Meteorological Observation Centre, China Meteorological Administration, China; Chengzhi Ye, Hunan Institute of Meteorological Sciences, China; Fuzhong Weng, CMA Earth System Modeling and Prediction Centre, China
MO3.P4.2: INVESTIGATION OF IMPACT OF SATELLITE REMOTE SENSING DATA ON THE AI WEATHER PREDICTION COUPLING WITH PHYSICS-BASED DATA ASSIMILATION
Peiming Dong, Sai Zhang, Donghai Laboratory, China; Wanlin Kan, Nanjing Innovation Institute for Atmospheric Sciences, China; Xin Zhang, Donghai Laboratory, China
MO3.P4.3: ASSIMILATION OF FENGYUN-3E HIRAS DATA IN CMA-GFS
Ruixia Liu, CMA Earth System Modeling and Prediction Centre (CEMC), China; Xiaoqing Li, National Satellite Meteorological Center, China
MO3.P4.4: Direct Assimilation of the FY-3G PMR Reflectivity for Typhoon Analysis and Forecast in a Cloud-Resolving Model
Jingyao Luo, Rui He, Hong Li, Lijian Zhu, Shanghai Typhoon Institute, China Meteorological Administration, China; Hao Huang, School of Atmospheric Sciences, Nanjing University, China
MO3.P4.5: WSSM: GEOGRAPHIC-ENHANCED HIERARCHICAL STATE-SPACE MODEL FOR GLOBAL STATION WEATHER FORECAST
Songru Yang, Zili Liu, Zhenwei Shi, Zhengxia Zou, Beihang University, China
Resources