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2018 Volume 43 Issue 4
Article Contents

ZHAO Jie ZHENG Ying-fei ZHU Yun-yun. On Refined Forecast System of Maximum and Minimum Temperatures in Jiangjin[J]. Journal of Southwest China Normal University(Natural Science Edition), 2018, 43(4): 89-94.
Citation: ZHAO Jie ZHENG Ying-fei ZHU Yun-yun. On Refined Forecast System of Maximum and Minimum Temperatures in Jiangjin[J]. Journal of Southwest China Normal University(Natural Science Edition), 2018, 43(4): 89-94.

On Refined Forecast System of Maximum and Minimum Temperatures in Jiangjin

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  • Based on the T639 and Ecmwf refined net numerical forecasting pattern products in temperature, as well as actual temperature in the station in corresponding period, dynamic forecast equation was concluded to formulate the daily maximum temperature forecast in 2472 hin every town and streets of Jiangjin City.In order to facilitate this model to be put into current operation, a fine temperature prediction software based on numerical prediction model is established.The software has achieved initial results in the actual operation.After the initial trial run of software, the results show that this prediction software has more obvious promotion than subjective forecasting.It can make contribution to weather forecasters for subjective prediction.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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On Refined Forecast System of Maximum and Minimum Temperatures in Jiangjin

Abstract: Based on the T639 and Ecmwf refined net numerical forecasting pattern products in temperature, as well as actual temperature in the station in corresponding period, dynamic forecast equation was concluded to formulate the daily maximum temperature forecast in 2472 hin every town and streets of Jiangjin City.In order to facilitate this model to be put into current operation, a fine temperature prediction software based on numerical prediction model is established.The software has achieved initial results in the actual operation.After the initial trial run of software, the results show that this prediction software has more obvious promotion than subjective forecasting.It can make contribution to weather forecasters for subjective prediction.

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