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On the return period of the 2003 heat wave

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  • Arthur Charpentier

    (X-DEP-ECO - Département d'Économie de l'École Polytechnique - X - École polytechnique - IP Paris - Institut Polytechnique de Paris, CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

Abstract

Extremal events are difficult to model since it is difficult to characterize formally those events. The 2003 heat wave in Europe was not characterized by very high temperatures, but mainly the fact that night temperature were no cool enough for a long period of time. Hence, simulation of several models (either with heavy tailed noise or long range dependence) yield different estimations for the return period of that extremal event.

Suggested Citation

  • Arthur Charpentier, 2010. "On the return period of the 2003 heat wave," Working Papers hal-00463492, HAL.
    • Handle: RePEc:hal:wpaper:hal-00463492
    Note: View the original document on HAL open archive server: https://hal.science/hal-00463492
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    References listed on IDEAS

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    1. E. M. Fischer & U. Beyerle & L. Bloin-Wibe & C. Gessner & V. Humphrey & F. Lehner & A. G. Pendergrass & S. Sippel & J. Zeder & R. Knutti, 2023. "Storylines for unprecedented heatwaves based on ensemble boosting," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    2. Peter Stott & Nikolaos Christidis & Richard Betts, 2011. "Changing return periods of weather-related impacts: the attribution challenge," Climatic Change, Springer, vol. 109(3), pages 263-268, December.
    3. Yang, Yuchen & Javanroodi, Kavan & Nik, Vahid M., 2021. "Climate change and energy performance of European residential building stocks – A comprehensive impact assessment using climate big data from the coordinated regional climate downscaling experiment," Applied Energy, Elsevier, vol. 298(C).
    4. Nik, Vahid M. & Moazami, Amin, 2021. "Using collective intelligence to enhance demand flexibility and climate resilience in urban areas," Applied Energy, Elsevier, vol. 281(C).

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