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Evaluating ERA5-LAND and IMERG-NASA Products for Drought Analysis: Implications for Sustainable Water Resource Management

Author

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  • Ahmad Abu Arra

    (Department of Civil Engineering, Yildiz Technical University, 34220 Istanbul, Türkiye
    Department of Civil and Architectural Engineering, An-Najah National University, Nablus 44830, Palestine)

  • Mehmet Emin Birpınar

    (Department of Civil Engineering, Yildiz Technical University, 34220 Istanbul, Türkiye)

  • Eyüp Şişman

    (Department of Civil Engineering, Yildiz Technical University, 34220 Istanbul, Türkiye)

Abstract

Given the growing adverse effects of drought on water resources, agriculture, and various sectors, assessing and evaluating drought and producing high-quality drought maps despite the data scarcity to better understand its impacts and develop effective mitigation strategies is essential. Considering the existing gaps related to drought evaluation, especially in scarce data regions, this research aims to evaluate the efficiency of acceptable time period for drought studies (10–20 years), evaluate the performance of ERA5-LAND and IMERG-NASA precipitation data in estimating the Standardized Precipitation Index (SPI) using different statistical metrics and the innovative drought classification matrix (IDCM), and finally produce and compare high-quality and accurate drought characteristics maps resulted from in situ stations, ERA5-LAND, and IMERG-NASA. The Kocaeli province in Türkiye, which has limited data and is a scarce data region, has been selected as an application. The results ensure that an acceptable time period can be sufficient and provide reliable accuracy for assessing drought with RMSE ranging between 0.09 and 0.23 standard deviation and IDCM ranging between 85% and 97%. NASA IMERG data gave more accurate drought results than ERA5-LAND, and the Pearson correlation ranges between 0.57 and 0.89. Also, in situ data showed longer drought duration, while ERA5-LAND and NASA had higher intensity. This article enables policymakers and decision-makers to manage and plan water resources within the city boundary, ensuring sustainable agricultural, economic, and industrial activities and supporting effective climate change adaptation strategies.

Suggested Citation

  • Ahmad Abu Arra & Mehmet Emin Birpınar & Eyüp Şişman, 2025. "Evaluating ERA5-LAND and IMERG-NASA Products for Drought Analysis: Implications for Sustainable Water Resource Management," Sustainability, MDPI, vol. 17(16), pages 1-30, August.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:16:p:7529-:d:1728702
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    References listed on IDEAS

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    1. Ahmad Abu Arra & Sadık Alashan & Eyüp Şişman, 2025. "A new framework for innovative trend analysis: integrating extreme precipitation indices, standardization, enhanced visualization, and novel classification approaches (ITA-NF)," 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. 121(11), pages 13543-13575, June.
    2. Wei Shangguan & Ruqing Zhang & Lu Li & Shulei Zhang & Ye Zhang & Feini Huang & Jianduo Li & Wei Liu, 2022. "Assessment of Agricultural Drought Based on Reanalysis Soil Moisture in Southern China," Land, MDPI, vol. 11(4), pages 1-16, March.
    3. Chong Du & Jiashuo Chen & Tangzhe Nie & Changlei Dai, 2022. "Spatial–temporal changes in meteorological and agricultural droughts in Northeast China: change patterns, response relationships and causes," 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. 110(1), pages 155-173, January.
    4. Ahmad Abu Arra & Eyüp Şişman, 2024. "Innovative Drought Classification Matrix and Acceptable Time Period for Temporal Drought Evaluation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(8), pages 2811-2833, June.
    5. I. Nalbantis & G. Tsakiris, 2009. "Assessment of Hydrological Drought Revisited," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(5), pages 881-897, March.
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