青藏高原东部三种降水数据产品的适用性评估

doi:10.13866/j.azr.2025.07.02

Abstract

Abstract:

Based on the 2022 daily precipitation data from weather stations in the eastern Tibetan Plateau, this study evaluated the accuracy of three datasets from the China Meteorological Administration: the Multi-source Precipitation Analysis System (CMPAS), Land Data Assimilation System (CLDAS), and Global Atmospheric Reanalysis (CRA)—via error indices and grading methods. The results indicate: (1) CMPAS exhibits the lowest error and highest correlation, making it the most reliable for annual precipitation analysis. (2) CMPAS monthly data align closely with observations, while CRA overestimates and CLDAS underestimates precipitation in most months. (3) During two large-scale precipitation events, CLDAS best captures accumulated rainfall, while CMPAS more accurately reflects precipitation centers, intensities, timing, and location. Overall, CMPAS is the most effective dataset for analyzing precipitation in the region, supporting improved monitoring of sparse areas and laying a solid foundation for climate operations and disaster prevention.

Key words: precipitation, data product, applicability, quality assessment, Qinghai-Xizang Plateau

LI Moyu, DONG Shaorui, GUO Yingxiang. Applicability evaluation of three kinds of precipitation products in eastern Qinghai-Xizang Plateau[J].Arid Zone Research, 2025, 42(7): 1173-1183.

Figures/Tables 14

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降水产品名称	ME	MAE	RMSE	COR
CRA	0.311	0.631	1.305	79.281%^****
CMPAS	0.041	0.061	0.185	99.532%^****
CLDAS	-0.153	0.664	1.403	66.297%^****

月份	CRA				CMPAS				CLDAS
月份	ME	MAE	RMSE	COR	ME	MAE	RMSE	COR	ME	MAE	RMSE	COR
1	0.064	0.070	0.129	87.810%^****	0.005	0.007	0.011	99.697%^****	-0.026	0.042	0.082	61.099%^****
2	0.109	0.187	0.338	64.134%^****	0.011	0.013	0.020	99.932%^****	-0.076	0.132	0.289	33.024%^*
3	0.126	0.141	0.331	62.453%^****	0.012	0.013	0.039	98.779%^****	-0.013	0.087	0.178	62.429%^****
4	0.395	0.565	1.103	78.049%^****	0.017	0.034	0.063	99.832%^****	-0.312	0.545	1.006	26.942%
5	0.399	0.780	1.231	75.362%^****	0.022	0.037	0.048	99.948%^****	-0.231	0.634	1.144	56.741%^****
6	0.495	1.047	1.530	72.216%^****	0.059	0.068	0.092	99.943%^****	-0.146	1.320	1.708	61.704%^****
7	0.591	0.994	1.501	85.055%^****	0.160	0.201	0.458	98.641%^****	-0.361	1.173	1.721	76.322%^****
8	0.868	2.310	3.217	47.093%^***	0.078	0.217	0.399	99.012%^****	-0.685	2.294	3.289	35.563%^**
9	0.338	0.838	1.387	77.625%^****	0.088	0.088	0.122	99.934%^****	-0.093	1.250	1.995	52.324%^***
10	0.232	0.481	0.627	63.399%^****	0.027	0.034	0.040	99.911%^****	0.0910	0.418	0.576	71.106%^****
11	0.070	0.086	0.154	92.558%^****	0.008	0.012	0.021	99.808%^****	0.025	0.073	0.157	93.688%^****
12	0.025	0.025	0.056	65.556%^****	0.001	0.001	0.002	99.916%^****	0.001	0.008	0.022	62.265%^****

降水产品名称	ME	MAE	RMSE
CRA	2.828	5.101	6.030
CMPAS	0.002	0.112	0.144
CLDAS	-0.294	6.104	7.338

降水产品名称	ME	MAE	RMSE
CRA	7.068	7.068	7.116
CMPAS	-0.117	0.117	0.118
CLDAS	-0.796	0.796	0.956

Applicability evaluation of three kinds of precipitation products in eastern Qinghai-Xizang Plateau

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