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Nonstationary warm spell frequency analysis integrating climate variability and change with application to the Middle East.


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Ouarda, Taha B. M. J. ORCID logoORCID: https://orcid.org/0000-0002-0969-063X; Charron, Christian; Kumar, Kondapalli Niranjan; Phanikumar, Devulapalli Venkata; Molini, Annalisa et Basha, Ghouse (2019). Nonstationary warm spell frequency analysis integrating climate variability and change with application to the Middle East. Climate Dynamics , vol. 53 , nº 9-10. pp. 5329-5347. DOI: 10.1007/s00382-019-04866-2.

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The Middle East can experience extended wintertime spells of exceptionally hot weather, which can result in prolonged droughts and have major impacts on the already scarce water resources of the region. Recent observational studies point at increasing trends in mean and extreme temperatures in the Middle East, while climate projections seem to indicate that, in a warming weather scenario, the frequency, intensity and duration of warm spells will increase. The nonstationary warm spell frequency analysis approach proposed herein allows considering both climate variability through global climatic oscillations and climate change signals. In this study, statistical distributions with parameters conditional on covariates representing time, to account for temporal trend, and climate indices are used to predict the frequency, duration and intensity of wintertime warm spells in the Middle East. Such models could find a large applicability in various fields of climate research, and in particular in the seasonal prediction of warm spell severity. Based on previous studies linking atmospheric circulation patterns in the Atlantic to extreme temperatures in the Middle East, we use as covariates two classic modes of ‘fast’ and ‘slow’ climatic variability in the Atlantic Ocean (i.e., the Northern Atlantic Oscillation and the Atlantic Multidecadal Oscillation respectively). Results indicate that the use of covariates improves the goodness-of-fit of models for all warm spell characteristics.

Type de document: Article
Mots-clés libres: winter warm spell; nonstationary model; frequency analysis; climate index; climate change; natural climate variability; statistical distribution; Middle East
Centre: Centre Eau Terre Environnement
Date de dépôt: 04 déc. 2019 15:18
Dernière modification: 15 févr. 2022 20:25
URI: https://espace.inrs.ca/id/eprint/9605

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