Multi-source data fused precipitation product downscaling method

• Main Authors: LI SHIYING, XU XIAOLI, HUANG XIAOLONG, DU BING, WU WEI, LONG KEJI, XIANG XIAOMING, JIANG YUHE, ZHANG CHENGHONG
• Format: Patent
• Language: Chinese; English
• Published: 23.05.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a precipitation product downscaling method fusing multi-source data, and the method comprises the following steps: S10, constructing a precipitation event prediction model through employing the global features, local features and adjacent features of a designated region, and determining the precipitation probability of a target region in the designated region according to the precipitation event prediction model; s20, constructing a rainfall intensity prediction model by using an XGBoost machine learning model, and determining the rainfall intensity of the specified area according to the rainfall intensity prediction model; and S30, fusing the rainfall probability and the rainfall intensity of the specified area to obtain a predicted value of the final rainfall intensity of the specified area. According to the precipitation product downscaling method fusing the multi-source data provided by the invention, the precipitation intensity of the target grid point is obtained by fusing the pr