65国1km分辨率降雨侵蚀力R因子数据集（1986-2015）

1）数据内容为65国平均降雨侵蚀力R栅格数据，空间分辨率为1km。2）数据源为Climate Prediction Center（CPC）发布的基于全球站点数据，基于此生成的0.5°×0.5°网格日降雨数据，从而计算了65国降雨侵蚀力R因子。3）采用中国气象局全国2358个气象站1986-2015年日降雨数据计算R值，对建立CPC数据源计算的R值进行复核修订，最终取得的数据质量良好。4）降雨侵蚀力R因子作为CSLE模型的动力因子，其数据可分析65国土壤侵蚀模拟及其空间格局分析，对于研究土壤侵蚀机理等具有重要意义。1) The dataset contains average rainfall erosivity R raster data for 65 countries, with a spatial resolution of 1 km. 2) The data source originates from the 0.5°×0.5° daily rainfall grid dataset generated from global station data released by the Climate Prediction Center (CPC), which was utilized to calculate the rainfall erosivity R factor for the 65 countries. 3) The R values derived from the CPC dataset were verified and revised using daily rainfall data from 2358 national meteorological stations under the China Meteorological Administration spanning from 1986 to 2015, resulting in a final dataset with excellent data quality. 4) As the dynamic factor of the CSLE model, the rainfall erosivity R factor data can be applied for soil erosion simulation and spatial pattern analysis of the 65 countries, which is of great significance for studying soil erosion mechanisms and related research.

搜集汇总

背景与挑战

背景概述

该数据集提供了1986-2015年间65个国家的1公里分辨率平均降雨侵蚀力R因子栅格数据，基于CPC全球站点和网格日降雨数据计算，并利用中国气象局数据复核修订，数据质量可靠。作为CSLE模型的动力因子，它适用于土壤侵蚀模拟和空间格局分析，对研究土壤侵蚀机理具有重要价值。