2000-2020年云南省1000米TRMM 3B43降尺度（GPP）数据集（第一版）

该数据集包含滇中地区2000-2018年的生态环境质量数据，基于地理加权回归模型建立GPP与TRMM数据之间的回归关系，通过Kriging插值法对经地理加权回归模型得到的常数、系数以及参数进行插值，最终将TRMM数据降尺度为1 km×1 km。通过线性R2、BIAS、RMSE等对比研究气象站点实测降水数据与TRMM 3B43降水数据降尺度前后在云南省地区的适用性，为利用遥感降水数据开展降水、干旱监测等工作提供参考。

This dataset contains eco-environmental quality data of the central Yunnan region spanning from 2000 to 2018. A regression relationship between GPP and TRMM data was established using the Geographically Weighted Regression (GWR) model. Constants, coefficients and parameters derived from the GWR model were interpolated via the Kriging interpolation method, ultimately downscaling the TRMM data to a spatial resolution of 1 km × 1 km. The applicability of both in-situ precipitation data from meteorological stations and TRMM 3B43 precipitation data before and after downscaling in Yunnan Province was compared and evaluated using metrics including linear R², BIAS and RMSE. This dataset provides a reference for precipitation and drought monitoring and other related studies utilizing remote sensing precipitation data.

搜集汇总

背景与挑战

背景概述

该数据集包含2000-2018年云南省生态环境质量数据，通过地理加权回归模型和Kriging插值方法将TRMM 3B43降水数据降尺度至1公里分辨率，适用于降水监测和干旱研究。