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Performance of Two Long-Term Satellite-Based and GPCC 8.0 Precipitation Products for Drought Monitoring over the Yellow River Basin in China

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  • Linyong Wei

    (College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China)

  • Shanhu Jiang

    (College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China)

  • Liliang Ren

    (College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China)

  • Fei Yuan

    (College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China)

  • Linqi Zhang

    (College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China)

Abstract

This study investigated the accuracy and drought monitoring application of two newly-released long-term satellite precipitation products (i.e., the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record, PERSIANN-CDR and the Climate Hazards Group Infrared Precipitation with Station data version 2.0 CHIRPS) and the latest reanalysis precipitation product (i.e., the Global Precipitation Climatology Centre full data monthly version 2018, GPCC 8.0). Satellite- and reanalysis-based precipitation sequences and standardized precipitation indices (SPIs) were compared comprehensively with background estimates of the China Gauge-based Daily Precipitation Analysis (CGDPA) dataset at spatial and multiple temporal scales over the Yellow River Basin (YRB) in China during 1983–2016. Results indicated the PERSIANN-CDR, CHIRPS and GPCC 8.0 precipitation products generally had good consistency with CGDPA (correlation coefficient, CC > 0.78). At spatial, monthly and seasonal scales, the consistency between GPCC 8.0 and CGDPA precipitation was found to be better than that of the two satellite products. Due to their good performance at the spatiotemporal scale, the satellite with long-time record and GPCC 8.0 products were evaluated and compared with CGDPA to derive SPI-1 (1-month SPI), SPI-3 (3-month SPI), and SPI-12 (12-month SPI) for drought monitoring in the YRB. The results showed that they had good application in monitoring droughts (CC > 0.65 at spatial scale, CC > 0.84 at temporal scale). The historical drought years (i.e., 1997, 1999, and 2006) and the spatial distribution of drought area in August 1997 were captured successfully, but the performance of GPCC 8.0 was found to be the best. Overall, GPCC 8.0 is considered best suited to complement precipitation datasets for long-term hydrometeorological research in the YRB.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:18:p:4969-:d:266347
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    References listed on IDEAS

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    1. 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.
    2. Hao Guo & Anming Bao & Tie Liu & Felix Ndayisaba & Daming He & Alishir Kurban & Philippe De Maeyer, 2017. "Meteorological Drought Analysis in the Lower Mekong Basin Using Satellite-Based Long-Term CHIRPS Product," Sustainability, MDPI, vol. 9(6), pages 1-21, May.
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    Cited by:

    1. Linyong Wei & Shanhu Jiang & Liliang Ren, 2020. "Evaluation and comparison of three long-term gauge-based precipitation products for drought monitoring over mainland China from 1961 to 2016," 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. 104(2), pages 1371-1387, November.
    2. Tsun-Hua Yang & Wen-Cheng Liu, 2020. "A General Overview of the Risk-Reduction Strategies for Floods and Droughts," Sustainability, MDPI, vol. 12(7), pages 1-20, March.

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