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干旱区地理 >

2024 , Vol. 47 >Issue 4: 549 - 560

DOI: https://doi.org/10.12118/j.issn.1000－6060.2023.146

气候变化与地表过程

多源遥感降水产品在西北干旱区的气象干旱性能评估

  • 黄曼捷 ,
  • 李艳忠 ,
  • 王渊刚 ,
  • 于志国 ,
  • 庄稼成 ,
  • 星寅聪
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  • 1.南京信息工程大学水文与水资源工程学院，江苏 南京 210044
    2.水利部水文气象灾害机理与预警重点实验室，江苏 南京 210044
    3.中国科学院新疆生态与地理研究所，新疆 乌鲁木齐 830011
黄曼捷（2000-），女，硕士研究生，主要从事水文气象等方面的研究. E-mail: huangmj0606@163.com
李艳忠（1984-），男，博士，副教授，主要从事水文气象与3S技术应用等方面的研究. E-mail: liyz_egi@163.com

收稿日期: 2023-04-03

  修回日期: 2023-04-19

  网络出版日期: 2024-05-17

基金资助

国家自然科学基金(41701019)

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

  • HUANG Manjie ,
  • LI Yanzhong ,
  • WANG Yuangang ,
  • YU Zhiguo ,
  • ZHUANG Jiacheng ,
  • XING Yincong
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  • 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 date: 2023-04-03

  Revised date: 2023-04-19

  Online published: 2024-05-17

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摘要

多源遥感降水产品在气象站点稀少或分布不均地区的干旱监测方面，发挥着至关重要的作用，比如地处中国西北的干旱区。选择5套典型遥感降水产品（PERSIANN、CHIRPS、CMORPH、TMPA和MSWEP），基于标准化降水蒸散指数（SPEI），评估了降水产品在3种时间尺度的气象干旱性能；通过游程理论识别干旱事件，阐释了遥感降水产品捕获干旱事件的能力。研究表明：（1） 在西北干旱区，5套遥感降水产品均能较好地捕捉多年平均降水量的空间分布格局，但却难以准确地捕捉降水的变化趋势。（2） 在捕获SPEI性能方面，MSWEP最优，其次为TMPA、PERSIANN和CHIRPS，CMORPH表现最差。1个月尺度（SPEI1）是遥感降水产品识别气象干旱的最佳时间尺度。（3） 在刻画干旱事件的特性方面，CHIRPS对干旱事件数量的识别能力最佳，PERSIANN最差；MSWEP和TMPA表征干旱严重性最好，CHIRPS较差；除CMORPH外，其余4套产品均能较好地捕获干旱事件的强度和极值。综上所述，虽然5套遥感降水产品整体上可较好地捕获西北干旱区的干旱特征，但由于受降水产品反演算法、地形复杂性以及地面验证站点疏密程度的影响，较难以找到一种降水产品在捕获干旱特性所有方面均表现最优。研究成果可为区域气象干旱监测最佳降水产品的选择，以及遥感降水产品在极端干旱环境反演算法的改进方面提供参考。

关键词： 遥感降水; SPEI; 干旱特征; 游程理论; 西北干旱区

本文引用格式

黄曼捷 , 李艳忠 , 王渊刚 , 于志国 , 庄稼成 , 星寅聪 . 多源遥感降水产品在西北干旱区的气象干旱性能评估[J]. 干旱区地理, 2024 , 47(4) : 549 -560 . DOI: 10.12118/j.issn.1000－6060.2023.146

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

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