Performance Evaluation and Improvement of CMFD's Precipitation Products Over Shanghai City, China

Precipitation products with high resolution for urban areas remain an important and challenging issue. The main purposes of this study are to evaluate the accuracy China Meteorological Forcing Data Set (CMFD) in Shanghai megacity improve CMFD precipitation. With rain gauge observations 2013–2018 period, we error detection ability at sub-daily, daily, monthly scales, examine spatial variation performance over region. Geographic Differential Analysis (GDA) method is used calibrate precipitation data set. results show that varies from sub-daily time scales better scale can capture variability region less north outliers center. GDA-based calibration framework significantly capability products, especially daily scales. calibrated provide reliable estimates more extreme events. improved a key basis applications related hydrological meteorological hazard monitoring assessment area. overall scalable could be readily generalized other regions, product research natural disaster risks studies.