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Evaluation of change points and persistence of extreme climatic indices across India

Author

Listed:
  • M. Soorya Gayathri

    (TKM College of Engineering)

  • S. Adarsh

    (TKM College of Engineering)

  • K. Shehinamol

    (TKM College of Engineering)

  • Zaina Nizamudeen

    (TKM College of Engineering)

  • Mahima R. Lal

    (TKM College of Engineering)

Abstract

This study performs the evaluation of change points and persistence of extreme climatic indices over India for the first time. Nine annual extreme precipitation indices (EPIs) and four annual extreme temperature indices (ETIs) across India are determined based on the daily data of precipitation, maximum and minimum temperature at 1° × 1° resolution of 1951–2015 period. The single change point analysis of all the thirteen indices of 277 grid points using Pettitt test showed that majority of the grids displayed a change during 1975–1985 period, showing good agreement with the global climate shift of 1976/77. The Hurst exponent estimates indicated that the persistence of EPIs is more erratically distributed than that of ETIs. Different indices possess strong long term persistence in the peninsular and coastal regions, especially for the number of tropical nights series.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:nathaz:v:116:y:2023:i:2:d:10.1007_s11069-022-05787-w
    DOI: 10.1007/s11069-022-05787-w
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    References listed on IDEAS

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    1. Caccia, David C. & Percival, Donald & Cannon, Michael J. & Raymond, Gary & Bassingthwaighte, James B., 1997. "Analyzing exact fractal time series: evaluating dispersional analysis and rescaled range methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 246(3), pages 609-632.
    2. Adarsh Sankaran & Sagar Rohidas Chavan & Mumtaz Ali & Archana Devarajan Sindhu & Drisya Sasi Dharan & Muhammad Ismail Khan, 2021. "Spatiotemporal variability of multifractal properties of fineresolution daily gridded rainfall fields over 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. 106(3), pages 1951-1979, April.
    3. Subash, N. & Singh, S.S. & Priya, Neha, 2011. "Extreme rainfall indices and its impact on rice productivity--A case study over sub-humid climatic environment," Agricultural Water Management, Elsevier, vol. 98(9), pages 1373-1387, July.
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