多源融合分析产品在辽宁地区的检验与适用性评估OACSTPCD

Using data from surface meteorological stations in Liaoning province from January to December of 2021,this study evaluates national multi-source integrated analysis products(resolution of 0.05°×0.05°)using various indices including mean error,mean absolute error,root mean square error,accuracy,correlation coefficient,and TS score.Additionally,two severe weather events involving heavy rain and strong winds in 2021 were selected to specifically assess the precipitation and wind speed products.The results show that,among the four products,the precipitation and temperature products generally perform better than the relative humidity and wind speed products,aligning more closely with observed values.The quality of the integrated analysis products is influenced by season and terrain,with larger errors observed in wind speed products in spring,precipitation products in summer,and temperature products in winter,especially in mountainous areas and near coastal regions.During extreme weather events,the precipitation and wind speed products demonstrate stability,with three-source integrated precipitation outperforming two-source integration.However,wind speed products generally underperform,with larger errors oc-curring at higher wind speeds.Multi-source integrated analysis products are already being applied in meteorological forecasting,early warning,services,and information operations within Liaoning province.