Improvement of Local Categorical Precipitation Forecasts from an NWP Model by Various Statistical Postprocessing Methods

被引：0

作者：

Zbyněk Sokol

Daniela Řezáčová

机构：

[1] Acad. Sci,Institute of Atmospheric Physics

[2] Czech Republic,undefined

来源：

Studia Geophysica et Geodaetica | 2000年 / 44卷

关键词：

Statistical postprocessing; Precipitation forecast; NWP model;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Several statistical postprocessing methods are applied to results from a numerical weather prediction (NWP) model to test the potential for increasing the accuracy of its local precipitation forecasts. Categorical (Yes/No) forecasts for 12hr precipitation sums equalling or exceeding 0.1, 2.0 and 5.0 mm are selected for improvement. The two 12hr periods 0600-1800 UTC and 1800-0600 UTC are treated separately based on NWP model initial times 0000 UTC and 1200 UTC, respectively. Input data are taken from three successive summer seasons, April-September, 1994-96. The forecasts are prepared and verified for five synoptic stations, four located in the western Czech Republic, and one in Germany near the Czech-German border.

引用

页码：38 / 56

页数：18

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