A spatial hybrid approach for downscaling of extreme precipitation fields
Author:
Affiliation:
1. INRA UMR 518; Paris France
2. AgroParisTech UMR 518; Paris France
3. LSCE-IPSL, Centre d'Etudes de Saclay; Gif-sur-Yvette France
Funder
ANR-project McSIM
ANR-project StaRMIP
GICC-project REMedHE
VW-project PLEIADES
ANR-project REMEMBER
Publisher
American Geophysical Union (AGU)
Subject
Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/2014JD022558/fullpdf
Reference69 articles.
1. Statistico-dynamical downscaling for Mediterranean heavy precipitation;Beaulant;Q. J. R. Meteorol. Soc.,2011
2. Bechler , A. L. Bel M. Vrac 2014 Conditional simulations of extremal t process: Application to fields of extreme precipitation http://hal-agroparistech.archives-ouvertes.fr/hal-01053605
3. Statistics of Extremes
4. Clustering of maxima: Spatial dependencies among heavy rainfall in France;Bernard;J. Clim.,2013
5. Spatial modeling of extreme snow depth;Blanchet;Ann. Appl. Stat.,2011
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