Characteristics of Errors of Refined Guidance Temperature Prediction in Shanxi
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Abstract:
According the refined guidance temperature forecast data in 730 days from 2009 to 2010 in Shanxin, compared to the daily maximum and minimum temperature, using conventional statistical and EOF analysis methods, the temporal spatial distribution of the guidance forecast errors is studied. The results show: the temperature prediction accuracy in Shanxi is relatively stable, but there is obvious seasonal variation, the highest in summer, the second in autumn, and relatively low in winter and spring; both average positive and negative errors of daily maximum temperature are slightly higher than those of daily minimum temperature, the largest in spring, then in autumn and winter, the smallest in summer; the spatial distribution of errors is relative to the topography in Shanxi, and obvious consistency is found in the error distribution of daily maximum temperature and minimum temperature over the whole Shanxi.
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.