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Satellite rainfall performance evaluation and application to monitor meteorological drought: a case of Omo-Gibe basin, Ethiopia

Author

Listed:
  • Indale Niguse Dejene

    (Wollega University)

  • Gizachew Kabite Wedajo

    (Ethiopian Space and Technology Institute)

  • Yared A. Bayissa

    (Texas A&M University)

  • Ashenif Melese Abraham

    (Jimma University)

  • Kefalegn Getahun Cherinet

    (Jimma University)

Abstract

Drought assessment is important to minimize its negative consequences and design appropriate management strategies. However, in situ rainfall measurement networks are scarce and unevenly distributed in the majority of watersheds in Ethiopia to assess drought. Performance-evaluated satellite rainfall estimates (SREs) could be an alternative data source in this regard. This study assessed the performance of SREs, namely Climate Hazards Group InfraRed Precipitation with Stations version 2 (CHIRPS), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Cloud Classification System-Climate Data Record (PERSIANN-CCS-CDR) and Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) in Omo-Gibe basin. Point-to-pixel pairwise comparison using statistical indices such as Pearson correlation coefficient (r), mean error (ME), root mean square error (RMSE), and bias was used to evaluate the SREs for the 2000 to 2019 study periods. The best SRE was identified and Standardized Precipitation Index (SPI) was used to assess meteorological drought. The CHIRPS-based SPI was compared with station-based SPI and further compared with MODIS-derived vegetation drought indices. The results showed ‘better’ performance of CHIRPS with higher r and lower ME, and bias, and acceptable RMSE values at monthly, seasonally and annual timescales, and its meteorological drought detection capability. Consequently, the CHIRPS rainfall product was used as input data to assess the spatiotemporal meteorological drought for 3- and 12-month periods. The results showed that 2000, 2002, 2009, and 2015 were identified as drought years where the central and southern parts of the basin experienced severe to extreme drought. The 3-month SPI drought index was correlated with drought severity index (DSI) and Vegetation Condition Index (VCI) with R2 value of 0.4 and 0.5, respectively. In the next 100 years, 3-month drought occurrences will be expected in the basin with varying intensities. Henceforth, the CHIRPS rainfall product can be used as an alternative rainfall data source in developing grid-based drought monitoring tools for data-scarce basins, which could assist in creating early warning systems.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:nathaz:v:119:y:2023:i:1:d:10.1007_s11069-023-06127-2
    DOI: 10.1007/s11069-023-06127-2
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    References listed on IDEAS

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    1. F. Sönmez & Ali Kömüscü & Ayhan Erkan & Ertan Turgu, 2005. "An Analysis of Spatial and Temporal Dimension of Drought Vulnerability in Turkey Using the Standardized Precipitation Index," 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. 35(2), pages 243-264, June.
    2. 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.
    3. Smakhtin, Vladimir U., 2004. "Review, automated estimation and analyses of drought indices in South Asia," IWMI Working Papers H035616, International Water Management Institute.
    4. 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.
    5. 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.
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