Abstract:
Based on the daily precipitation data of 35 meteorological stations in Chongqing from 1981 to 2018 by China Integrated Meteorological Information Service System, the minimum curvature (MC), radial basis function (RBF), kriging (KR), local polynomial (LP), inverse distance weighting (IDW) and Shepard interpolation method (MS) are implemented for the simulation and cross examination of average accumulative precipitation, extreme precipitation and summer extreme precipitation. The test results show that the spatial interpolation method has good applicability in most areas of western and central Chongqing and along the Yangtze River, and has poor applicability in the mountainous areas of northeast, southeast and southwest of Chongqing. For the average cumulative precipitation, the root mean square error of each interpolation method increases with the increase of precipitation, among which the MC is the most stable as a whole, and it is the most suitable in the southeast, middle and west of Chongqing. the RBF is the most suitable in the northeast of Chongqing. In terms of extremum precipitation, the RBF is the best method for magnitude simulation, and the MC is the best method for position simulation. The interpolation result of the MC is the closest to actual precipitation of summer extreme precipitation.