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首页> 外文期刊>Journal of Geoscience and Environment Protection >Verification of Mongolian Cyclone-Induced Snowstorm Model Forecast in Jilin Province, China
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Verification of Mongolian Cyclone-Induced Snowstorm Model Forecast in Jilin Province, China

机译:中国吉林省蒙古旋风诱导的暴风雪模型预测验证

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Situation field forecast and rainfall forecast in typical numerical forecast models including EC (The European Centre for Medium-Range Weather Forecasts), t639 (T639 Global Forecast System) and Japanese model were verified by set statistics and TS (Threat Score) scoring based on 8 cases of Mongolian cyclone-induced snowstorm in Jilin Province in this paper. As shown by the results, for the forecast of Mongolian cyclone location and intensity, EC has significantly higher accuracy than Japanese model and t639, and there is a high likelihood that it forecasts the southerly cyclone location, relatively fast movement and comparatively weak intensity within 72 hours; for snowfall forecast, Japanese model shows significantly higher accuracy than other models, especially it has obviously stronger ability to forecast the heavy rainfall above snowstorm than other models, while WRF model (The Weather Research and Forecasting Model) has strong forecast ability of normal snowfall; for normal snowfall, the 72-hour missing forecast rate is higher than false forecast rate in all the models.
机译:典型数值预测模型中的情况现场预测和降雨预测(包括EC(欧洲中距离天气预报中心),T639(T639全球预测系统)和日本模型都是通过基于8的设定统计和TS(威胁评分)评分进行验证本文吉林省蒙古旋风诱导暴风雪案。如结果所示,对于蒙古飓风定位和强度的预测,EC的精度明显高于日本模型和T639,并且预测南风旋风位置,相对快速的运动和72内的强度相对较快的可能性很高。小时;对于降雪预测,日本模型的准确性明显高于其他模型,特别是预测暴风雪高度降雨的能力明显更强,而WRF模型(天气研究和预测模型)具有普通降雪的强烈预测能力;对于正常的降雪,72小时缺失的预测率高于所有模型中的错误预测率。

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