Seamless Prediction in China:A Review |
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作者姓名: | Hong-Li REN Qing BAO Chenguang ZHOU Jie WU Li GAO Lin WANG Jieru MA Yao TANG Yangke LIU Yujun WANG Zuosen ZHAO |
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作者单位: | 1. State Key Laboratory of Severe Weather, and Institute of Tibetan Plateau Meteorology,Chinese Academy of Meteorological Sciences;2. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD),Nanjing University of Information Science and Technology;3. State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences;4. Department of Atmospheric Science, School of Environmental Studies,China University of Geosciences;5. China Meteorological Administration Key Laboratory for Climate Prediction Studies,National Climate Center,China Meteorological Administration;6. Ensemble Forecasting Division, CMA Earth System Modeling and Prediction Center (CEMC);7. School of Atmospheric Sciences, Chengdu University of Information Technology |
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基金项目: | jointly supported by the National Natural Science Foundation of China (Grant Nos. U2242206, 42175015, and 41975094); |
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摘 要: | Seamless prediction is a weather–climate integrated prediction covering multiple time scales that include days, weeks,months, seasons, years, and decades. Seamless prediction can provide different industries with information such as weather conditions and climate variations from the next few days to years, which have important impacts on economic and social development and important reference value for short-, medium-and long-term decision-making and planning of the country.Therefore, seamless p...
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