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Arid Land Geography ›› 2024, Vol. 47 ›› Issue (4): 549-560.doi: 10.12118/j.issn.1000-6060.2023.146

• Climate Change and Surface Process • Previous Articles     Next Articles

Evaluation of meteorological drought performance of multisource remote-sensing precipitation products in arid northwest China

HUANG Manjie1,2(), LI Yanzhong1,2(), WANG Yuangang3, YU Zhiguo1,2, ZHUANG Jiacheng1,2, XING Yincong1,2   

  1. 1. School of Hydrology and Water Resources, Nanjing University of Information Science and Technology, Nanjing 210044, Jiangsu, China
    2. Key Laboratory of Hydrometeorological Disaster Mechanism and Warning of Ministry of Water Resources, Nanjing 210044, Jiangsu, China
    3. Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, Xinjiang, China
  • Received:2023-04-03 Revised:2023-04-19 Online:2024-04-25 Published:2024-05-17
  • Contact: LI Yanzhong E-mail:huangmj0606@163.com;liyz_egi@163.com

Abstract:

Multisource remote-sensing precipitation products play an important role in drought monitoring in regions with few or uneven meteorological stations, such as arid areas in northwest China. In this study, five sets of typical remote-sensing precipitation products (PERSIANN, CHIRPS, CMORPH, TMPA, and MSWEP) were selected. The meteorological drought performance of the precipitation products at three timescales was evaluated based on the standardized precipitation evapotranspiration index (SPEI). The capability of remote-sensing precipitation products to capture drought events was explained by identifying drought events using the run-course theory. The results showed the following: (1) In arid northwest China, the five sets of remote-sensing precipitation products could capture the spatial distribution pattern of annual mean precipitation well, but it was difficult to accurately capture the change trend of precipitation. (2) MSWEP had the best performance in capturing SPEI, followed by TMPA, PERSIANN, and CHIRPS, and CMORPH had the worst performance. SPEI1 was the best timescale for remote-sensing precipitation products to identify meteorological droughts. (3) CHIRPS had the best recognition capability for several drought events, whereas PERSIANN had the worst. MSWEP and TMPA were the best indicators of drought severity, whereas CHIRPS was the worst. Except for CMORPH, the other four sets of products captured the intensity and extreme values of the drought events well. In summary, although the five sets of remote-sensing precipitation products could capture the drought characteristics of the northwest arid region on the whole, finding a precipitation product with the best performance in all aspects of capturing drought characteristics was difficult because of the impact of the inversion algorithm of falling aquatic products, terrain complexity, and density of ground verification stations. The results of this study can provide a reference for the selection of the best precipitation products for regional meteorological drought monitoring and for the improvement of remote-sensing precipitation products in the inversion algorithm of extreme drought environments.

Key words: remote sensing precipitation, SPEI, drought characteristics, run theory, arid northwest China