基于深度学习的中国季节降水预测

IF 2.8 3区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of Meteorological Research Pub Date : 2022-04-01 DOI:10.1007/s13351-022-1174-7
Weixin Jin, Yongde Luo, Tongwen Wu, Xiaomeng Huang, Wei Xue, Chaoqing Yu
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引用次数: 9
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Deep Learning for Seasonal Precipitation Prediction over China
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来源期刊
Journal of Meteorological Research
Journal of Meteorological Research METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
6.20
自引率
6.20%
发文量
54
期刊介绍: Journal of Meteorological Research (previously known as Acta Meteorologica Sinica) publishes the latest achievements and developments in the field of atmospheric sciences. Coverage is broad, including topics such as pure and applied meteorology; climatology and climate change; marine meteorology; atmospheric physics and chemistry; cloud physics and weather modification; numerical weather prediction; data assimilation; atmospheric sounding and remote sensing; atmospheric environment and air pollution; radar and satellite meteorology; agricultural and forest meteorology and more.
期刊最新文献
Precipitation Evolution from Plain to Mountains during the July 2023 Extreme Heavy Rainfall Event in North China Enhancing Tropical Cyclone Intensity Estimation from Satellite Imagery through Deep Learning Techniques Ground Passive Microwave Remote Sensing of Atmospheric Profiles Using WRF Simulations and Machine Learning Techniques MGCPN: An Efficient Deep Learning Model for Tibetan Plateau Precipitation Nowcasting Based on the IMERG Data GOES-16 ABI Brightness Temperature Observations Capturing Vortex Rossby Wave Signals during Rapid Intensification of Hurricane Irma (2017)
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