五套土壤质地对IMLDAS表层土壤水分模拟的适用性

doi:10.13866/j.azr.2025.10.06

Abstract

Abstract:

Soil texture is a key parameter affecting the accuracy of land surface hydrological simulation. Investigating the applicability of different soil textures to soil moisture simulation is an effective approach to improve the precision of regional land surface hydrological simulation and gridded drought and flood monitoring. On the basis of five latest domestic and international soil texture datasets and the Inner Mongolia Land Data Assimilation System (IMLDAS), five soil moisture simulation experiments corresponding to the five soil texture datasets were designed, and five soil moisture simulation datasets were implemented. Using daily surface soil (0-10 cm) moisture observation data from 63 national meteorological stations in the Inner Mongolia Autonomous Region from May to September from 2016 to 2020, the applicability of the five simulated soil moisture datasets was systematically evaluated. The results were as follows: (1) Soil texture datasets of the Food and Agriculture Organization of the United Nations (FAO) and Chinese Academy of Sciences (CAS) differed considerably from those of Beijing Normal University (BNU), Global Soil Dataset for use in Earth System Models (GSDE), and the Second National Soil Survey on China (SNSS) in space. The soil texture datasets of the SNSS, BNU, and GSDE better characterized the higher sand content and lower clay content in the four sandy lands and three desert areas of the Inner Mongolia Autonomous Region. (2) Compared with the observed soil moisture data, the spatial distribution characteristics of soil moisture from northeast to southwest in the Inner Mongolia Autonomous Region was well reproduced by the five soil moisture simulation experiments and the China Meteorological Administration Land Data Assimilation System (CLDAS) simulations of soil moisture, but there was an overestimation among them. Moreover, the trend of observed soil moisture with time was reflected well by all simulations. The soil moisture simulated from the SNSS experiment performed the best in the Inner Mongolia Autonomous Region and its three climatic zones, as it was the most consistent with the observed spatial distribution. (3) The five simulation datasets and CLDAS simulations of soil moisture in the Inner Mongolia Autonomous Region and its three climatic sub-regions had extremely significant temporal correlation with the observed soil moisture. The mean absolute error (MAE) and root mean square error (RMSE) of soil moisture simulated by the FAO and CLDAS were relatively large. Moreover, the MAE, RMSE and Kling-Gupta efficiency coefficient values of soil moisture simulated from the SNSS experiment were the best, followed by those corresponding to the BNU, CAS, and GSDE experiments, which were significantly better than those corresponding to the FAO and CLDAS soil moisture simulations. In conclusion, the SNSS simulation of soil moisture in the Inner Mongolia Autonomous Region and its three climatic sub-regions showed higher accuracy, and the applicability of SNSS soil texture was the best. Notably, the applicability of all simulated soil moisture datasets in the arid area was worse than that in other areas.

Key words: soil texture, soil moisture, applicability, Inner Mongolia

SONG Haiqing, HUANG Yan, SUN Xiaolong. Applicability evaluation of five soil texture datasets to surface soil moisture simulations based on IMLDAS[J].Arid Zone Research, 2025, 42(10): 1813-1827.

Figures/Tables 7

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区域	CLDAS				FAO				BNU
区域	R	MAE /(m³·m^-3)	RMSE /(m³·m^-3)	KGE	R	MAE /(m³·m^-3)	RMSE /(m³·m^-3)	KGE	R	MAE /(m³·m^-3)	RMSE /(m³·m^-3)	KGE
内蒙古	0.816	0.081	0.082	0.317	0.818	0.069	0.070	0.430	0.836	0.042	0.044	0.621
区内半湿润区	0.780	0.0701	0.074	0.556	0.814	0.062	0.065	0.592	0.805	0.028	0.032	0.709
区内半干旱区	0.823	0.085	0.086	0.226	0.876	0.072	0.072	0.379	0.887	0.047	0.048	0.567
区内干旱区	0.505	0.070	0.075	0.198	0.250	0.068	0.072	-0.018	0.375	0.045	0.050	0.200
区域	CAS				GSDE				SNSS
区域	R	MAE /(m³·m^-3)	RMSE /(m³·m^-3)	KGE	R	MAE /(m³·m^-3)	RMSE /(m³·m^-3)	KGE	R	MAE /(m³·m^-3)	RMSE /(m³·m^-3)	KGE
内蒙古	0.841	0.049	0.051	0.564	0.835	0.044	0.045	0.610	0.855	0.034	0.036	0.687
区内半湿润区	0.822	0.038	0.042	0.706	0.806	0.029	0.033	0.714	0.815	0.019	0.023	0.734
区内半干旱区	0.888	0.054	0.056	0.490	0.886	0.048	0.049	0.551	0.900	0.041	0.042	0.616
区内干旱区	0.413	0.042	0.046	0.231	0.383	0.044	0.049	0.211	0.477	0.032	0.037	0.327

Applicability evaluation of five soil texture datasets to surface soil moisture simulations based on IMLDAS

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