首页|期刊导航|气象学报(英文版)|MGCPN:An Efficient Deep Learning Model for Tibetan Plateau Precipitation Nowcasting Based on the IMERG Data

MGCPN:An Efficient Deep Learning Model for Tibetan Plateau Precipitation Nowcasting Based on the IMERG DataOACSTPCD

MGCPN:An Efficient Deep Learning Model for Tibetan Plateau Precipitation Nowcasting Based on the IMERG Data

Mingyue LU;Zhiyu HUANG;Manzhu YU;Hui LIU;Caifen HE;Chuanwei JIN;Jingke ZHANG

Key Laboratory of Meteorological Disaster,Ministry of Education(KLME)/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD),Nanjing University of Information Science & Technology,Nanjing 210044,China||Geographic Science College,Nanjing University of Information Science & Technology,Nanjing 210044,ChinaKey Laboratory of Meteorological Disaster,Ministry of Education(KLME)/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD),Nanjing University of Information Science & Technology,Nanjing 210044,China||Geographic Science College,Nanjing University of Information Science & Technology,Nanjing 210044,ChinaDepartment of Geography,Pennsylvania State University,University Park,PA 16802,USAKey Laboratory of Meteorological Disaster,Ministry of Education(KLME)/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD),Nanjing University of Information Science & Technology,Nanjing 210044,China||School of Remote Sensing & Geomatics Engineering,Nanjing University of Information Science & Technology,Nanjing 210044,ChinaZhenhai District Meteorological Bureau,Ningbo 315200,ChinaKey Laboratory of Meteorological Disaster,Ministry of Education(KLME)/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD),Nanjing University of Information Science & Technology,Nanjing 210044,China||Geographic Science College,Nanjing University of Information Science & Technology,Nanjing 210044,ChinaKey Laboratory of Meteorological Disaster,Ministry of Education(KLME)/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD),Nanjing University of Information Science & Technology,Nanjing 210044,China||Geographic Science College,Nanjing University of Information Science & Technology,Nanjing 210044,China

《气象学报(英文版)》 2024 (4)

693-707,15

Supported by the National Natural Science Foundation of China(41871285 and 52104158).

10.1007/s13351-024-3211-1

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