基于MGWR模型的黄河流域GPM卫星降水数据降尺度研究

doi:10.12118/j.issn.1000-6060.2022.475

Abstract

Abstract:

Because the Yellow River Basin of China is a vast area with sparse meteorological stations, limited meteorological data are available. Satellite precipitation data are an alternative for precipitation observations. In this study, the precipitation data of the Yellow River Basin for 2002, 2012, and 2020 were considered representative of dry, standard, and wet years to downscale global precipitation measurement (GPM) precipitation data. The normalized difference vegetation index, digital elevation model, slope, land surface temperature, and wind speed that reflect the spatial distribution characteristics of precipitation and the characteristics of spatial nonstationarity were investigated and used in two downscaling methods, namely the geographically weighted regression model (GWR) and mixed geographically weighted regression model (MGWR) to obtain the downscaling precipitation data of 1-km spatial resolution in the Yellow River Basin. The downscaling results were verified by the ground meteorological station data. The results revealed that: (1) GPM annual precipitation data were highly correlated with ground meteorological station observation data in the Yellow River Basin in 2002, 2012, and 2020. (2) Downscaling with the MGWR model considerably improved the spatial resolution. In terms of the spatial details of precipitation, the downscaling results of the MGWR model were superior to those of the GWR model. (3) In the three typical climate years, the accuracy of MGWR downscaling data in the precipitation standard year was slightly higher than that of GWR downscaling data. The results of this study can provide a reference for precipitation downscaling research in related regions and promote regional climate and hydrological research.

Key words: mixed geographically weighted regression model (MGWR), geographically weighted regression model (GWR), global precipitation measurement (GPM), Yellow River Basin

BAI He, MING Yisen, LIU Qihang, HUANG Chang. Downscaling of GPM satellite precipitation data in the Yellow River Basin based on MGWR model[J].Arid Land Geography, 2023, 46(7): 1052-1062.

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辅助因子	2002年	2012年	2020年
DEM	-13792.4780	111.5426	-38.1083
NDVI	-10307.8175	-14268.9533	-11486.5637
WDS	-13864.9890	-12589.8497	-11786.7153
Slope	283.4418	329.9034	374.2292
LST	291.0240	-6264.2374	227.1289

评价指标	年份	GPM	GWR	MGWR
R²	2002	0.700	0.670	0.598
	2012	0.786	0.773	0.690
	2020	0.736	0.683	0.688
Bias	2002	0.026	0.029	0.022
	2012	0.300	0.300	-0.092
	2020	0.311	0.309	0.154
RMSE	2002	62.144	65.482	71.950
	2012	72.644	73.940	92.269
	2020	115.091	134.041	134.229

Downscaling of GPM satellite precipitation data in the Yellow River Basin based on MGWR model

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