文章基本信息

标题：Short-Term Precipitation Forecasting Rolling Update Correction Technology Based on Optimal Fusion Correction
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作者：Meijin Huang ; Qing Lin ; Ning Pan 等
期刊名称：Journal of Geoscience and Environment Protection
印刷版ISSN：2327-4336
电子版ISSN：2327-4344
出版年度：2019
卷号：7
期号：3
页码：145-159
DOI：10.4236/gep.2019.73008
语种：English
出版社：Scientific Research Pub
摘要：In order to improve the availability of regional model precipitation forecast, this project intends to use the measured heavy rainfall data of dense automatic stations to carry out historical precipitation in the high resolution: the Severe Weather Automatic Nowcast System (SWAN) quantitative precipitation forecast and the High-Resolution Rapid Refresh (HRRR) regional numerical model precipitation forecast in short-term nowcasting aging. Based on the error analysis, the grid fusion technology is used to establish the measured rainfall, HRRR regional model precipitation forecast, and optical flow radar quantitative precipitation forecast (QPF) three-source fusion correction scheme, comprehensively integrate the revised forecasting effect, adjust the fusion correction parameters, establish an optimal correction plan, generate a frozen rolling update revised product based on measured dense data and short-term forecast, and put it into business operation, and perform real-time effect rolling test evaluation on the forecast product.
关键词：Optimal Fusion CorrectionRadar QPFNumerical ModelShort-Term Precipitation ForecastingRolling Test