Test and Evaluation of Relative Humidity Forecast in Each Competition Area of the "14 th National Winter Games" by Intelligent Forecasting Methods  

作　　者：Sitong LIU Xuefeng YANG 

机构地区：[1]Hulunbuir Meteorological Bureau,Hulunbuir 021008,China

出　　处：《Meteorological and Environmental Research》2025年第1期37-40,共4页气象与环境研究(英文版)

摘　　要：Based on ground observation data of relative humidity,the prediction performance of STNF and MIFS in each competition area during February 13-26,2024 was tested and evaluated by using two intelligent forecasting methods(STNF and MIFS).The results show that STNF had better performance in forecasting relative humidity in high-altitude areas,and was suitable for fine forecasting under complex terrain.MIFS improved the short-term forecast of some low-altitude stations,but the long-term reliability was insufficient.STNF method performed better than MIFS during 0-24 h.As the prediction time extended to 24-72 h,the errors of both methods showed a systematic increase trend.STNF had higher precision,lower root mean square error and smaller mean error in most regions under the background of most weather systems,showing its superiority as a forecasting method of relative humidity.However,the precision of MIFS was slightly higher than that of STNF in Liangcheng without system background,revealing that MIFS may also be an effective option in some specific conditions.

关 键 词：Intelligent forecast Relative humidity Model test 

分 类 号：P456.5[天文地球—大气科学及气象学]