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SCMOC温度精细化指导预报在陕西区域的质量检验
引用本文:王丹,高红燕,马磊,王建鹏,杨新. SCMOC温度精细化指导预报在陕西区域的质量检验[J]. 气象科技, 2014, 42(5): 839-846
作者姓名:王丹  高红燕  马磊  王建鹏  杨新
作者单位:1. 陕西省气象服务中心,西安,710014
2. 陕西省气象台,西安,710014
基金项目:陕西省气象局预报员专项(2017Y 24)、干旱气象科学研究基金(IAM201306)、陕西省气象服务中心2013年自立项目、陕西省气象局数值预报应用研究创新团队项目资助
摘    要:利用2012年陕西区域99站共366天北京时间08:00和20:00起报的SCMOC温度精细化指导预报与实况资料的比较,检验分析了定时温度、日最高气温和日最低气温的预报质量。结果表明:陕西区域SCMOC温度精细化指导预报08:00起报的准确率高于20:00起报的,且预报准确率有明显的季节变化,夏、秋季节较高,冬、春季节较低,日最高(低)气温的预报准确率与预报时效成反比。地形高度影响温度预报准确率,二者之间的相关系数通过了显著性检验。08:00起报的48h内逐3h气温多出现负误差,20:00起报的多出现正误差。08:00起报的日最高气温和20:00起报的日最高(低)气温多出现负误差,08:00起报的日最低气温多出现正误差。从对典型天气过程的温度预报质量检验来看,强冷空气影响下的降温天气过程的温度预报难度较大,预报准确率较其他天气类型偏低一些。

关 键 词:精细化  温度预报  准确率  误差
收稿时间:2013-07-30
修稿时间:2014-02-12

Quality Test of Refined Guidance SCMOC Temperature Prediction in Shaanxi Province
Wang Dan,Gao Hongyan,Ma Lei,Wang Jianpeng and Yang Xin. Quality Test of Refined Guidance SCMOC Temperature Prediction in Shaanxi Province[J]. Meteorological Science and Technology, 2014, 42(5): 839-846
Authors:Wang Dan  Gao Hongyan  Ma Lei  Wang Jianpeng  Yang Xin
Abstract:According the comparison between observation temperature from stations and SCMOC refined guidance temperature forecast starting at 00:00GMT and 12:00GMT for 366 days in 2012 for 99 stations over Shaanxi, the characteristics of prediction errors of three hourly predicted temperature, daily maximum, and minimum temperature are annalyzed. The result shows: the accuracy of the predicted temperature starting at 00:00GMT is better than that starting at 12:00GMT, and there is obvious seasonal variation, higher in summer and autumn, lower in winter and spring. The accuracy of daily maximum and minimum temperature prediction has negative correlation with lead time, and the topographic height influences the accuracy of temperature prediction remarkably. The three hourly predicted temperature starting at 00:00GMT for 48 hours has greater negative errors, but that starting at 12:00GMT has greater positive errors. The predicted daily maximum and minimum temperatures are often smaller than observations, except the predicted minimum temperature starting at 00:00GMT. The accuracy of temperature prediction is lower in obvious temperature drop weather, comparing with other weather, according to the quality test of temperature prediction in different weather conditions.
Keywords:refinement   temperature prediction   accuracy   error
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