Abstract：The article uses the daily highest and lowest temperature data from the Daishan Service Index Station from 2019 to 2023,as well as the daily highest and lowest temperature forecast data reported from 20:00 on the Zhejiang Province,City and County revised fusion intelligent grid.Statistical analysis and linear fitting methods are used to compare and analyze forecast errors,and multiple temperature forecast correction models are established.The results indicate that the Zhejiang Province,city,and county correction fusion intelligent grid has strong referenceability for the forecast of the lowest temperature in Daishan.The established intelligent grid correction models for the highest and lowest temperatures have high credibility and can be used for fine temperature forecast correction in corresponding service blocks.
陶烨明, 于梦颖, 郑思雯. 岱山县智能网格气温预报精细化订正方法探究[J]. 气象水文海洋仪器, 2025, 42(4): 38-40.
Tao Yeming, Yu Mengying, Zheng Siwen. Exploration of fine correction method for intelligent grid temperature forecast in Daishan County. Meteorological Hydrological and Marine Instrument, 2025, 42(4): 38-40.
2025, Vol. 42 
