IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i16p7529-d1728702.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/16/7529/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/16/7529/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ahmad Abu Arra & Sadık Alashan & Eyüp Şişman, 2025. "Advancing innovative trend analysis for drought trends: incorporating drought classification frequencies for comprehensive insights," 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(8), pages 9195-9219, May.
    2. N. Subash & H. Mohan, 2011. "A Simple Rationally Integrated Drought Indicator for Rice–Wheat Productivity," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(10), pages 2425-2447, August.
    3. Lampros Vasiliades & Athanasios Loukas & Nikos Liberis, 2011. "A Water Balance Derived Drought Index for Pinios River Basin, Greece," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(4), pages 1087-1101, March.
    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. Youxin Wang & Tao Peng & Qingxia Lin & Vijay P. Singh & Xiaohua Dong & Chen Chen & Ji Liu & Wenjuan Chang & Gaoxu Wang, 2022. "A New Non-stationary Hydrological Drought Index Encompassing Climate Indices and Modified Reservoir Index as Covariates," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(7), pages 2433-2454, May.
    6. Rong Gan & Shuqian Gu & Xiaoxia Tong & Jinqiang Lu & Hui Tang, 2024. "A nonparametric standardized runoff index for characterizing hydrological drought in the Shaying 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. 120(3), pages 2233-2253, February.
    7. Javad Bazrafshan & Somayeh Hejabi & Jaber Rahimi, 2014. "Drought Monitoring Using the Multivariate Standardized Precipitation Index (MSPI)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(4), pages 1045-1060, March.
    8. Atiyeh Bozorgi & Abbas Roozbahani & Seied Mehdy Hashemy Shahdany & Rouzbeh Abbassi, 2025. "Developing a Risk Management Framework for Agricultural Water Systems Using Fuzzy Dynamic Bayesian Networks and Decision-Making Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 39(7), pages 3577-3599, May.
    9. Hossein Tabari & Jaefar Nikbakht & P. Hosseinzadeh Talaee, 2013. "Hydrological Drought Assessment in Northwestern Iran Based on Streamflow Drought Index (SDI)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(1), pages 137-151, January.
    10. Jie Yang & Yimin Wang & Jun Yao & Jianxia Chang & Guoxin Xu & Xin Wang & Hui Hu, 2020. "Coincidence probability analysis of hydrologic low-flow under the changing environment in the Wei River Basin," 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. 103(2), pages 1711-1726, September.
    11. Dimitrios Myronidis & Konstantinos Ioannou & Dimitrios Fotakis & Gerald Dörflinger, 2018. "Streamflow and Hydrological Drought Trend Analysis and Forecasting in Cyprus," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(5), pages 1759-1776, March.
    12. Željka Brkić & Mladen Kuhta, 2022. "Lake Level Evolution of the Largest Freshwater Lake on the Mediterranean Islands through Drought Analysis and Machine Learning," Sustainability, MDPI, vol. 14(16), pages 1-28, August.
    13. Konstantinos Spiliotis & Konstantinos Voudouris & Harris Vangelis & Mike Spiliotis, 2025. "Analysis of Annual Drought Episodes Using Complex Networks," Sustainability, MDPI, vol. 17(4), pages 1-17, February.
    14. Jagadish Padhiary & Kanhu Charan Patra & Sonam Sandeep Dash, 2022. "A Novel Approach to Identify the Characteristics of Drought under Future Climate Change Scenario," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(13), pages 5163-5189, October.
    15. Peng Qi & Y. Jun Xu & Guodong Wang, 2020. "Quantifying the Individual Contributions of Climate Change, Dam Construction, and Land Use/Land Cover Change to Hydrological Drought in a Marshy River," Sustainability, MDPI, vol. 12(9), pages 1-16, May.
    16. da Silva, Antonio Samuel Alves & Stosic, Tatijana & Arsenić, Ilija & Menezes, Rômulo Simões Cezar & Stosic, Borko, 2023. "Multifractal analysis of standardized precipitation index in Northeast Brazil," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    17. Shan Jiang & Jian Zhou & Guojie Wang & Qigen Lin & Ziyan Chen & Yanjun Wang & Buda Su, 2022. "Cropland Exposed to Drought Is Overestimated without Considering the CO 2 Effect in the Arid Climatic Region of China," Land, MDPI, vol. 11(6), pages 1-21, June.
    18. Enes Gul & Efthymia Staiou & Mir Jafar Sadegh Safari & Babak Vaheddoost, 2023. "Enhancing Meteorological Drought Modeling Accuracy Using Hybrid Boost Regression Models: A Case Study from the Aegean Region, Türkiye," Sustainability, MDPI, vol. 15(15), pages 1-17, July.
    19. Dehghanipour, Amir Hossein & Schoups, Gerrit & Zahabiyoun, Bagher & Babazadeh, Hossein, 2020. "Meeting agricultural and environmental water demand in endorheic irrigated river basins: A simulation-optimization approach applied to the Urmia Lake basin in Iran," Agricultural Water Management, Elsevier, vol. 241(C).
    20. Mohammad Nazeri Tahroudi & Yousef Ramezani & Carlo De Michele & Rasoul Mirabbasi, 2020. "A New Method for Joint Frequency Analysis of Modified Precipitation Anomaly Percentage and Streamflow Drought Index Based on the Conditional Density of Copula Functions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(13), pages 4217-4231, October.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:17:y:2025:i:16:p:7529-:d:1728702. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.