IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v121y2025i5d10.1007_s11069-024-06979-2.html
   My bibliography  Save this article

Investigation of meteorological variables and associated extreme events over North-East India and its adjoining areas using high-resolution IMDAA reanalysis

Author

Listed:
  • Rohit Gautam

    (Dibrugarh University
    North Eastern Space Applications Centre)

  • Arup Borgohain

    (North Eastern Space Applications Centre)

  • Binita Pathak

    (Dibrugarh University
    Dibrugarh University)

  • Shyam Sundar Kundu

    (North Eastern Space Applications Centre)

  • Shiv Prasad Aggarwal

    (North Eastern Space Applications Centre)

Abstract

The study incorporates a first-time investigation of annual trends in precipitation, maximum and minimum temperature, and related extreme events across a set of 21 study sites of differing altitudes across North-East India and its contiguous areas employing reanalysis datasets of highest spatial and temporal resolution (0.12º, 1-hr) available for Indian subcontinent called Indian Monsoon Data Assimilation and Analysis (IMDAA). A total of ten precipitation and eleven temperature extremes, following the Expert Team on Climate Change Detection and Indices (ETCCDI), have been explored for trend identification at 5% and 1% significance levels combined with change point analysis using the Mann-Kendall (MK)/modified MK (mMK) tests and cumulative sum (CUSUM) charts, respectively. Noteworthy findings were revealed, where most stations exhibited significant annual increases in minimum temperatures (Tmin), along with a less pronounced trend in maximum temperatures (Tmax), while some stations showed decreasing annual precipitation. Results revealed predominant significant increasing trends in temperature indices across most of the locations with indices related to warmer nights showing greater significance. However, precipitation indices showed declining trends for most of the sites except for one location. Change points corresponding to minimum and maximum temperatures characterized by negative to positive shifts outnumbered those to precipitation, which showed rather opposite shifts across most of the locations. Predominant negative to positive shifts were observed in summer days (SU25), tropical nights (TR20), annual maximum of daily Tmin (TNx), warm days (TX90p), warm nights (TN90p), annual minimum of daily Tmax (TXn) and Tmin (TNn), whereas positive to negative in annual maximum of daily Tmax (TXx), cool days (TX10p), cool nights (TN10p) and diurnal temperature range (DTR) indicating a greater rise in warming scenario rather than cooling scenario. Precipitation indices generally shifted from positive to negative values, except for consecutive wet days (CWD), which indicates shifting precipitation patterns. The rise in extreme events poses a serious threat to the region and the continuously evolving pattern of climatic variables may have significant implications on human and natural ecosystems over this area of Indian subcontinent.

Suggested Citation

  • Rohit Gautam & Arup Borgohain & Binita Pathak & Shyam Sundar Kundu & Shiv Prasad Aggarwal, 2025. "Investigation of meteorological variables and associated extreme events over North-East India and its adjoining areas using high-resolution IMDAA reanalysis," 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(5), pages 5149-5184, March.
  • Handle: RePEc:spr:nathaz:v:121:y:2025:i:5:d:10.1007_s11069-024-06979-2
    DOI: 10.1007/s11069-024-06979-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-024-06979-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11069-024-06979-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Seung-Ki Min & Xuebin Zhang & Francis W. Zwiers & Gabriele C. Hegerl, 2011. "Human contribution to more-intense precipitation extremes," Nature, Nature, vol. 470(7334), pages 378-381, February.
    2. M. Soorya Gayathri & S. Adarsh & K. Shehinamol & Zaina Nizamudeen & Mahima R. Lal, 2023. "Evaluation of change points and persistence of extreme climatic indices across India," 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. 116(2), pages 2747-2759, March.
    3. Xuebin Zhang & Lisa Alexander & Gabriele C. Hegerl & Philip Jones & Albert Klein Tank & Thomas C. Peterson & Blair Trewin & Francis W. Zwiers, 2011. "Indices for monitoring changes in extremes based on daily temperature and precipitation data," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 2(6), pages 851-870, November.
    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. Davor Kvočka & Roger A. Falconer & Michaela Bray, 2016. "Flood hazard assessment for extreme flood events," 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. 84(3), pages 1569-1599, December.
    2. Ikefuji, Masako & Horii, Ryo, 2012. "Natural disasters in a two-sector model of endogenous growth," Journal of Public Economics, Elsevier, vol. 96(9-10), pages 784-796.
    3. Rei Itsukushima & Yohei Ogahara & Yuki Iwanaga & Tatsuro Sato, 2018. "Investigating the Influence of Various Stormwater Runoff Control Facilities on Runoff Control Efficiency in a Small Catchment Area," Sustainability, MDPI, vol. 10(2), pages 1-12, February.
    4. Yaolong Liu & Guorui Feng & Ye Xue & Huaming Zhang & Ruoguang Wang, 2015. "Small-scale natural disaster risk scenario analysis: a case study from the town of Shuitou, Pingyang County, Wenzhou, 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. 75(3), pages 2167-2183, February.
    5. Islam, Moinul & Kotani, Koji & Managi, Shunsuke, 2016. "Climate perception and flood mitigation cooperation: A Bangladesh case study," Economic Analysis and Policy, Elsevier, vol. 49(C), pages 117-133.
    6. Hemin Sun & Valentina Krysanova & Yu Gong & Miaoni Gao & Simon Treu & Ziyan Chen & Tong Jiang, 2024. "The recent trends of runoff in China attributable to climate change," Climatic Change, Springer, vol. 177(11), pages 1-19, November.
    7. Kaustubh Salvi & Subimal Ghosh, 2016. "Projections of Extreme Dry and Wet Spells in the 21st Century India Using Stationary and Non-stationary Standardized Precipitation Indices," Climatic Change, Springer, vol. 139(3), pages 667-681, December.
    8. Sakineh Khansalari & Atefeh Mohammadi, 2024. "Probabilistic projection of extreme precipitation changes over Iran by the CMIP6 multi-model ensemble," Climatic Change, Springer, vol. 177(7), pages 1-26, July.
    9. Jascha Lehmann & Dim Coumou & Katja Frieler, 2015. "Increased record-breaking precipitation events under global warming," Climatic Change, Springer, vol. 132(4), pages 501-515, October.
    10. Orpita U. Laz & Ataur Rahman & Taha B. M. J. Ouarda, 2025. "Trend and teleconnection analysis of temperature extremes in New South Wales, Australia," 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(4), pages 4559-4584, March.
    11. Fabian Barthel & Eric Neumayer, 2012. "A trend analysis of normalized insured damage from natural disasters," Climatic Change, Springer, vol. 113(2), pages 215-237, July.
    12. Patrick Willems, 2013. "Multidecadal oscillatory behaviour of rainfall extremes in Europe," Climatic Change, Springer, vol. 120(4), pages 931-944, October.
    13. Brennan, Timothy J., 2011. "Energy Efficiency Policy: Surveying the Puzzles," RFF Working Paper Series dp-11-27, Resources for the Future.
    14. -, 2018. "Climate Change in Central America: Potential Impacts and Public Policy Options," Sede Subregional de la CEPAL en México (Estudios e Investigaciones) 39150, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    15. Peng Jiang & Zhongbo Yu & Mahesh R. Gautam & Kumud Acharya, 2016. "The Spatiotemporal Characteristics of Extreme Precipitation Events in the Western United States," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(13), pages 4807-4821, October.
    16. Binglin Zhang & Songbai Song & Huimin Wang & Tianli Guo & Yibo Ding, 2025. "Evaluation of the performance of CMIP6 models in simulating extreme precipitation and its projected changes in global climate regions," 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(2), pages 1737-1763, January.
    17. Shihao Chen & Jinfeng Pang & Zongzhen Bian & Baohui Men, 2025. "The Effects of Urban Land Expansion Intensify Climate Extremes in China’s Urban Agglomerations," Sustainability, MDPI, vol. 17(5), pages 1-18, February.
    18. Qiang Zhang & Jianfeng Li & Vijay Singh & Yungang Bai, 2012. "SPI-based evaluation of drought events in Xinjiang, 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. 64(1), pages 481-492, October.
    19. János Mika, 2013. "Changes in weather and climate extremes: phenomenology and empirical approaches," Climatic Change, Springer, vol. 121(1), pages 15-26, November.
    20. Thomas, Vinod & Albert, Jose Ramon G. & Perez, Rosa T., 2012. "Examination of Intense Climate-related Disasters in the Asia-Pacific," Discussion Papers DP 2012-16, Philippine Institute for Development Studies.

    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:spr:nathaz:v:121:y:2025:i:5:d:10.1007_s11069-024-06979-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.