IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v116y2023i2d10.1007_s11069-022-05787-w.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-022-05787-w
    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/s11069-022-05787-w?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. 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.
    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. McGaughey, Donald R. & Aitken, G.J.M., 2002. "Generating two-dimensional fractional Brownian motion using the fractional Gaussian process (FGp) algorithm," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 311(3), pages 369-380.
    2. Almurad, Zainy M.H. & Delignières, Didier, 2016. "Evenly spacing in Detrended Fluctuation Analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 63-69.
    3. Hartmann, András & Mukli, Péter & Nagy, Zoltán & Kocsis, László & Hermán, Péter & Eke, András, 2013. "Real-time fractal signal processing in the time domain," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(1), pages 89-102.
    4. McGaughey, Donald R & Aitken, George J.M, 2000. "Statistical analysis of successive random additions for generating fractional Brownian motion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 277(1), pages 25-34.
    5. Mante, Claude, 2007. "Application of resampling and linear spline methods to spectral and dispersional analyses of long-memory processes," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4308-4323, May.
    6. Yuan-Chih Su & Bo-Jein Kuo, 2023. "Risk Assessment of Rice Damage Due to Heavy Rain in Taiwan," Agriculture, MDPI, vol. 13(3), pages 1-19, March.
    7. Peter F. Craigmile, 2003. "Simulating a class of stationary Gaussian processes using the Davies–Harte algorithm, with application to long memory processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 24(5), pages 505-511, September.
    8. Devkota, Krishna Prasad & Yadav, Sudhir & Humphreys, E. & Kumar, Akhilesh & Kumar, Pankaj & Kumar, Virender & Malik, R.K. & Srivastava, Amit K., 2021. "Land gradient and configuration effects on yield, irrigation amount and irrigation water productivity in rice-wheat and maize-wheat cropping systems in Eastern India," Agricultural Water Management, Elsevier, vol. 255(C).
    9. Zhang, Baoqing & Wu, Pute & Zhao, Xining & Wang, Yubao & Wang, Jiawen & Shi, Yinguang, 2012. "Drought variation trends in different subregions of the Chinese Loess Plateau over the past four decades," Agricultural Water Management, Elsevier, vol. 115(C), pages 167-177.
    10. Katy Valdivieso-García & Angel Vázquez-Patiño & Hugo Saritama & Juan Contreras & Alex Avilés & Fernando García, 2024. "Influence of climate change on precipitation extremes in Ecuador," Climatic Change, Springer, vol. 177(11), pages 1-22, November.
    11. Gómez-Gómez, Javier & Carmona-Cabezas, Rafael & Sánchez-López, Elena & Gutiérrez de Ravé, Eduardo & Jiménez-Hornero, Francisco José, 2022. "Multifractal fluctuations of the precipitation in Spain (1960–2019)," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
    12. Philipp Kainz & Michael Mayrhofer-Reinhartshuber & Helmut Ahammer, 2015. "IQM: An Extensible and Portable Open Source Application for Image and Signal Analysis in Java," PLOS ONE, Public Library of Science, vol. 10(1), pages 1-28, January.
    13. Tsepeso Setoboli & Nothando Tshuma & Emmanuel Sibanda, 2024. "Improving Agricultural Efficiency in Zimbabwe: A Labor Productivity Analysis," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(3), pages 2193-2208, March.
    14. Hendrik J. Blok, 2000. "On the nature of the stock market: Simulations and experiments," Papers cond-mat/0010211, arXiv.org.
    15. Alvarez-Ramirez, Jose & Echeverria, Juan C. & Rodriguez, Eduardo, 2008. "Performance of a high-dimensional R/S method for Hurst exponent estimation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(26), pages 6452-6462.
    16. Biermé, Hermine & Meerschaert, Mark M. & Scheffler, Hans-Peter, 2007. "Operator scaling stable random fields," Stochastic Processes and their Applications, Elsevier, vol. 117(3), pages 312-332, March.
    17. Ronit Singh & D. S. Arya & A. K. Taxak & Z. Vojinovic, 2016. "Potential Impact of Climate Change on Rainfall Intensity-Duration-Frequency Curves in Roorkee, India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(13), pages 4603-4616, October.
    18. Fu, Yang & Zheng, Zeyu & Xiao, Rui & Shi, Haibo, 2017. "Comparison of two fractal interpolation methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 563-571.
    19. Turvey, Calum G., 2007. "A note on scaled variance ratio estimation of the Hurst exponent with application to agricultural commodity prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(1), pages 155-165.

    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:116:y:2023:i:2:d:10.1007_s11069-022-05787-w. 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.