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Le projet INTENSE : utiliser les observations et les modèles pour comprendre le passé, le présent et l'avenir des extrêmes de précipitations infraquotidiennes

Authors :
Elizabeth J. Kendon
Peter Berg
Andreas F. Prein
Marie Ekström
Elizabeth Lewis
Stephen Blenkinsop
Greg J. Holland
Lisa V. Alexander
Richard P. Allan
Geert Lenderink
Jason P. Evans
Justin Sheffield
Mari R. Tye
Richard G. Jones
Robert Dunn
Renaud Barbero
Hayley J. Fowler
Dennis P. Lettenmaier
Erik Kjellström
Albert Klein-Tank
Vimal Mishra
Steven Chan
Selma B. Guerreiro
Xiaofeng Li
Seth Westra
SCHOOL OF ENGINEERING UNIVERSITY OF NEWCASTLE NEWCASTLE UPON TYNE GBR
Partenaires IRSTEA
Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
Risques, Ecosystèmes, Vulnérabilité, Environnement, Résilience (RECOVER)
Aix Marseille Université (AMU)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
MET OFFICE HADLEY CENTRE EXETER GBR
KNMI ROYAL NETHERLANDS METEOROLOGICAL INSTITUTE DE BILT NLD
University of Adelaide
CLIMATE CHANGE RESEARCH CENTRE UNIVERSITY OF NEW SOUTH WALES SYDNEY AUS
UNIVERSITY OF READING GBR
SMHI NORRK
Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Aix Marseille Université (AMU)
SCHOOL OF CIVIL ENVIRONMENTAL AND MINING ENGINEERING UNIVERSITY OF ADELAIDE AUS
Source :
Advances in Science and Research, Advances in Science and Research, 2018, 15, pp.117-126. ⟨10.5194/asr-15-117-2018⟩, Advances in Science and Research, Copernicus Publications, 2018, 15, pp.117-126. ⟨10.5194/asr-15-117-2018⟩, Advances in Science and Research, Vol 15, Pp 117-126 (2018)
Publication Year :
2018
Publisher :
HAL CCSD, 2018.

Abstract

[Departement_IRSTEA]Territoires [ADD1_IRSTEA]Adaptation des territoires au changement global; National audience; Historical in situ sub-daily rainfall observations are essential for the understanding of short-duration rainfall extremes but records are typically not readily accessible and data are often subject to errors and inhomogeneities. Furthermore, these events are poorly quantified in projections of future climate change making adaptation to the risk of flash flooding problematic. Consequently, knowledge of the processes contributing to intense, short-duration rainfall is less complete compared with those on daily timescales. The INTENSE project is addressing this global challenge by undertaking a data collection initiative that is coupled with advances in high-resolution climate modelling to better understand key processes and likely future change. The project has so far acquired data from over 23 000 rain gauges for its global sub-daily rainfall dataset (GSDR) and has provided evidence of an intensification of hourly extremes over the US. Studies of these observations, combined with model simulations, will continue to advance our understanding of the role of local-scale thermodynamics and large-scale atmospheric circulation in the generation of these events and how these might change in the future.

Details

Language :
French
ISSN :
19920628 and 19920636
Database :
OpenAIRE
Journal :
Advances in Science and Research, Advances in Science and Research, 2018, 15, pp.117-126. ⟨10.5194/asr-15-117-2018⟩, Advances in Science and Research, Copernicus Publications, 2018, 15, pp.117-126. ⟨10.5194/asr-15-117-2018⟩, Advances in Science and Research, Vol 15, Pp 117-126 (2018)
Accession number :
edsair.doi.dedup.....e9e973b220a5fd4a657714ed2dff3c91
Full Text :
https://doi.org/10.5194/asr-15-117-2018⟩