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机构地区:[1]国家气候中心
出 处:《气象学报》1999年第3期338-345,共8页Acta Meteorologica Sinica
基 金:国家"九五"攻关项目
摘 要:目前以数值形势预报为基础的动力产品释用方法主要有模式输出统计法(MOS)和完全预报方法(PPM)。由这两种方法建立的预报方程缺乏明确的物理意义,所以文中提出了一种动力与统计相结合的方法。该方法从大尺度大气动力学方程组出发,推导出月降水距平百分率与月环流场的关系,从而建立了月降水距平百分率预报方程,随后利用月动力延伸预报的500hPa高度场和实际降水场资料反演出月降水距平百分率预报方程的系数。该方程经过独立样本检验,表明这种方法对利用动力延伸集合预报的环流形势作月降水距平预报具有一定的能力。Currently, there are two dominant methods, Model Output Statitics (MOS) and Perfect Prediction Method (PPM), in reexplanation and reanalysis of dynamic products based on potential height of model outputs. The forecast equations which are estabalished by using these two methods have statistical meanings except physical senses. In this paper, we present a blending method of dynamical and statistical approaches, which has established a relationship between monthly precipitation anomaly and monthly circulation. The relationship is monthly precipitation forecast equation and its coefficients are determined by using 500 hPa potential height anomaly of ensemble dynamical extended range forecast(DERF) and observed precipitation. The results show that the method is useful for forecasting monthly rainfall anomaly using potential height of ensemble DERF through independent sample tests.
分 类 号:P457.6[天文地球—大气科学及气象学]
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