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The Regional Ensemble Prediction System(REPS) at CMA and its application to heavy rainfall forecast in monsoon season in China

机译:CMA的区域集合预测系统(REPS)及其在中国季风季节大雨预测中的应用

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@@ 1. Introduction To improve the probabilistic forecast of the heavy rain events in summer season in China, the Center of Numerical Weather Prediction(CNWP),CMA developed regional ensemble prediction system (REPS).The REPS took advantage of achievements at high resolution deterministic mesoscale prediction model, data assimilation system and experiences from development of global ensemble prediction system at CNWP. The real time operational running of REPS is started from Jun' 2010. Results showed that the REPS could give much more information comparing with control run. However, it was found that spread of REPS was small compared with observations and forecast errors, the forecasting error for control run was obvious, and mesoscale ensemble products were still not good enough for site- and time-specific forecasts, but it demonstrated good ability to capture the high impact weather event.
机译:@@ 1.提高中国夏季大雨事件的概率预测,数字天气预报(CNWP),CMA开发了区域集合预测系统(REPS)。代表在高分辨率下利用了成就CNWP在全球集合预测系统开发中的确定性Mesoscale预测模型,数据同化系统和经验。 Reps的实时运行运行从2010年6月开始。结果表明,REPS可以提供​​与控制运行相比的更多信息。然而,发现Reps的传播与观测结果和预测错误相比,控制运行的预测误差是显而易见的,并且Mesoscale集合产品对于网站和时间预测仍然不够好,但它表现出良好的能力捕捉高影响的天气事件。

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