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A comprehensive 120-year assessment of drought dynamics and climate teleconnections in Odisha, India (1901–2020): insights from SPI and trend evaluation

Author

Listed:
  • Rajkumar Guria

    (Fakir Mohan University)

  • Sanjeev Dwivedi

    (Ministry of Earth Sciences)

  • Pujyasmita Nayak

    (Ministry of Earth Sciences)

  • Shreerup Goswami

    (Utkal University)

  • Richarde Marques Silva

    (Federal University of Paraíba)

  • Celso Augusto Guimarães Santos

    (Federal University of Paraíba
    University of South Alabama)

  • Prakash Chandra Dash

    (Xavier Institute of Social Service)

  • Manoranjan Mishra

    (Fakir Mohan University)

  • Muhammad Mubashar Dogar

    (Japan Agency for Marine-Earth Science and Technology)

  • Gowhar Meraj

    (The University of Tokyo
    American University of Sharjah)

  • Mansour Almazroui

    (King Abdulaziz University
    University of East Anglia)

Abstract

Droughts have intensified in frequency and severity across South Asia, particularly impacting regions like Odisha, India, where agriculture remains highly dependent on monsoon rainfall. The objective of this study was to analyze drought dynamics and their relationship with climate teleconnections over a 120-year period (1901–2020) in Odisha, India. This study used Standardized Precipitation Index (SPI) at multiple timescales (SPI-3 to SPI-48), leveraging high-resolution gridded rainfall data. Long-term trends were evaluated using the Modified Mann–Kendall test and Sen’s slope estimator. Drought hotspots and spatial shifts were identified through Global Moran’s I and Local Indicators of Spatial Association (LISA). To understand climatic drivers, bivariate wavelet coherence analysis and Pearson correlation were applied between SPI-12 and major ocean-atmospheric teleconnection indices—ONI, IOD, SOI, and AMO. Findings reveal a spatial shift in drought severity from the eastern and southern regions in the early twentieth century to western and northwestern Odisha in recent decades. Decadal maps of drought characteristics (duration, severity, frequency, and intensity) show that districts such as Koraput, Nabarangpur, Nuapada, and Sundargarh experienced increasingly severe and frequent droughts since the 1970s. Strong coherence and correlation were observed between drought episodes and positive ONI and negative SOI/IOD phases, especially during significant drought years like 1965–66, 1974–75, 1987, 1999–2000, and 2009–2010. Spatial autocorrelation analysis confirmed clustering of drought-prone areas in western Odisha, while wavelet analysis highlighted dynamic, scale-specific linkages between SPI and teleconnection indices. These results underscore the non-linear and evolving nature of climate-drought interactions in Odisha. The study highlights the importance of integrating long-term drought diagnostics with teleconnection signals for proactive regional planning, improved early warning systems, and climate-adaptive policies. Graphic abstract

Suggested Citation

  • Rajkumar Guria & Sanjeev Dwivedi & Pujyasmita Nayak & Shreerup Goswami & Richarde Marques Silva & Celso Augusto Guimarães Santos & Prakash Chandra Dash & Manoranjan Mishra & Muhammad Mubashar Dogar & , 2025. "A comprehensive 120-year assessment of drought dynamics and climate teleconnections in Odisha, India (1901–2020): insights from SPI and trend evaluation," 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 13811-13845, June.
    • Handle: RePEc:spr:nathaz:v:121:y:2025:i:11:d:10.1007_s11069-025-07336-7
    DOI: 10.1007/s11069-025-07336-7
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    References listed on IDEAS

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    1. Abdelaaziz Merabti & Diogo S. Martins & Mohamed Meddi & Luis S. Pereira, 2018. "Spatial and Time Variability of Drought Based on SPI and RDI with Various Time Scales," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(3), pages 1087-1100, February.
    2. Aiguo Dai, 2013. "Increasing drought under global warming in observations and models," Nature Climate Change, Nature, vol. 3(1), pages 52-58, January.
    3. Abdelaaziz Merabti & Diogo S. Martins & Mohamed Meddi & Luis S. Pereira, 2018. "Correction to: Spatial and Time Variability of Drought Based on SPI and RDI with Various Time Scales," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(8), pages 2917-2918, June.
    4. Aiguo Dai, 2013. "Erratum: Increasing drought under global warming in observations and models," Nature Climate Change, Nature, vol. 3(2), pages 171-171, February.
    5. Peyman Mahmoudi & Alireza Ghaemi & Allahbakhsh Rigi & Seyed Mahdi Amir Jahanshahi, 2021. "RETRACTED ARTICLE: Recommendations for modifying the Standardized Precipitation Index (SPI) for Drought Monitoring in Arid and Semi-arid Regions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(10), pages 3253-3275, August.
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