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Study of perturbing method in regional BGM ensemble prediction system
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作者 YuHua Xiao GuangBi He +1 位作者 Jing Chen Guo Deng 《Research in Cold and Arid Regions》 2012年第1期65-73,共9页
Based on an Ensemble Prediction System with the BGM method on the regional numerical prediction model AREM, Static State Perturbation (SSP, including Initial Random Perturbation and Perturbation Restriction) and Dyn... Based on an Ensemble Prediction System with the BGM method on the regional numerical prediction model AREM, Static State Perturbation (SSP, including Initial Random Perturbation and Perturbation Restriction) and Dynamic State Perturbation (DSP) are designed. The impacts of both perturbations on precipitation prediction are studied by analyzing a slrong precipitation process oc- curring during July 20-21, 2008. The results show that both SSP and DSP play a positive role in prediction of mesoscale precipita- tion, such as lowering the (missing) rate of precipitation prediction. SSP is mainly helpful for the 24-hour prediction, while DSP can improve both 24-hour and 48-hour prediction. DSP is better than the two SSPs in the hit rate of regional precipitation prediction. However, the former also has a little higher false alarm rate than the latter. DSP enlarges in some extent the dispersion of EPS, which is good for EPS. 展开更多
关键词 perturbing method regional bgm ensemble prediction system PRECIPITATION
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