Abstract

Precipitation data has high theoretical research and practical application value, and has been widely used in hydrological forecasting, agricultural production, ecological protection and other fields. China has a vast territory with large topographic fluctuations. Most meteorological stations are concentrated in densely populated plain areas, and some areas such as mountainous areas have low station density and lack of precipitation observation data. Therefore, it is necessary to use interpolation method to establish high-precision precipitation data set. This data set is based on the precipitation monitoring data of more than 2400 meteorological stations on the ground from 1960 to 2020, using the climate data spatial interpolation software anusplin4 4 the monthly precipitation interpolation data set with 1km spatial resolution in China from 1960 to 2020 is calculated. After verifying the data set with the collected measured precipitation data in China and the rainfall data in China hydrological Yearbook, and comparing the accuracy with CRU TS 4.05 and the 1km resolution data released by Northwest University of agriculture and forestry science and technology, it is found that this data set has the characteristics of high accuracy, high resolution and long time sequence, and has better scientific research and application potential. 

Full Text
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