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Evaluation of CHIRPS and its application for drought monitoring over the Haihe River Basin, China

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  • Feng Gao

    (Capital Normal University)

  • Yuhu Zhang

    (Capital Normal University)

  • Xiulin Ren

    (Capital Normal University)

  • Yunjun Yao

    (Beijing Normal University)

  • Zengchao Hao

    (Beijing Normal University)

  • Wanyuan Cai

    (Peking University)

Abstract

Climate Hazards Group Infrared Precipitation with Stations data (CHIRPS) rainfall dataset was early evaluated and compared with 29 meteorological stations over the Haihe River basin in China, for the period 1981–2015. Seven statistical and categorical metrics were applied to evaluate the performance of CHIRPS with gauge measurements at multi-time scales (monthly, seasonally and annually). Using the Standardized Precipitation Index (SPI) as the drought indicator, the applicability of this new long-term satellite precipitation product for drought monitoring was investigated in this study. Results indicate that the good performances were performed at multiple temporal scales (monthly, seasonally and annually). Although it tends to overestimate the higher precipitation in this region, CHIRPS demonstrated good agreement (R2 > 0.70) with gauge observations at monthly scale and greater agreements (R2 > 0.78) at seasonal and annual scales. Meanwhile, CHIRPS performed a good score of BIAS and lower error in a majority of months at multi-time scales. Because of its good performance at multi-time scales and the advantages of high spatial resolution and long-time record, CHIRPS was applied to derive the SPI over the Haihe River basin. It is evaluated and compared with stations observations to derive SPI at time scale of 1, 3 and 6 months. The results indicate that it performed good ability to monitor drought (R2 > 0.70) and successfully captured the historical drought years (1981, 1999, 2001 and 2012). Overall, this study concludes that CHIRPS can be a valuable complement to gauge precipitation data for estimating precipitation and drought monitoring in this region.

Suggested Citation

  • Feng Gao & Yuhu Zhang & Xiulin Ren & Yunjun Yao & Zengchao Hao & Wanyuan Cai, 2018. "Evaluation of CHIRPS and its application for drought monitoring over the Haihe River Basin, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(1), pages 155-172, May.
    • Handle: RePEc:spr:nathaz:v:92:y:2018:i:1:d:10.1007_s11069-018-3196-0
    DOI: 10.1007/s11069-018-3196-0
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    References listed on IDEAS

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    1. Jun Xia & Lu Zhang & Changming Liu & Jingjie Yu, 2007. "Towards better water security in North China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(1), pages 233-247, January.
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    Cited by:

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    2. Kaur, Lakhvinder & Rishi, Madhuri S. & Chaudhary, Bhagwan Singh, 2022. "Assessment of meteorological and agricultural droughts using remote sensing and their impact on groundwater in an agriculturally productive part of Northwest India," Agricultural Water Management, Elsevier, vol. 274(C).
    3. Linyong Wei & Shanhu Jiang & Liliang Ren & Fei Yuan & Linqi Zhang, 2019. "Performance of Two Long-Term Satellite-Based and GPCC 8.0 Precipitation Products for Drought Monitoring over the Yellow River Basin in China," Sustainability, MDPI, vol. 11(18), pages 1-18, September.
    4. Si Chen & Qi Li & Wushuang Zhong & Run Wang & Dong Chen & Shihan Pan, 2022. "Improved Monitoring and Assessment of Meteorological Drought Based on Multi-Source Fused Precipitation Data," IJERPH, MDPI, vol. 19(3), pages 1-16, January.
    5. Bhuvanamitra Sulugodu & Paresh Chandra Deka, 2019. "Evaluating the Performance of CHIRPS Satellite Rainfall Data for Streamflow Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(11), pages 3913-3927, September.
    6. Varsha Pandey & Prashant K Srivastava & Sudhir K Singh & George P. Petropoulos & Rajesh Kumar Mall, 2021. "Drought Identification and Trend Analysis Using Long-Term CHIRPS Satellite Precipitation Product in Bundelkhand, India," Sustainability, MDPI, vol. 13(3), pages 1-19, January.
    7. Indale Niguse Dejene & Gizachew Kabite Wedajo & Yared A. Bayissa & Ashenif Melese Abraham & Kefalegn Getahun Cherinet, 2023. "Satellite rainfall performance evaluation and application to monitor meteorological drought: a case of Omo-Gibe basin, Ethiopia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 119(1), pages 167-201, October.

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