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lmd_Codron2014.bib

@comment{{This file has been generated by bib2bib 1.95}}
@comment{{Command line: /usr/bin/bib2bib --quiet -c 'not journal:"Discussions"' -c 'not journal:"Polymer Science"' -c '  author:"Codron"  ' -c year=2014 -c $type="ARTICLE" -oc lmd_Codron2014.txt -ob lmd_Codron2014.bib /home/WWW/LMD/public/Publis_LMDEMC3.link.bib}}
@article{2014ClDy...43.1893B,
  author = {{Belmadani}, A. and {Echevin}, V. and {Codron}, F. and {Takahashi}, K. and 
	{Junquas}, C.},
  title = {{What dynamics drive future wind scenarios for coastal upwelling off Peru and Chile?}},
  journal = {Climate Dynamics},
  keywords = {Regional climate change, Peru-Chile upwelling system, Dynamical downscaling, Upwelling-favorable winds, Climate scenarios},
  year = 2014,
  month = oct,
  volume = 43,
  pages = {1893-1914},
  abstract = {{The dynamics of the Peru-Chile upwelling system (PCUS) are primarily
driven by alongshore wind stress and curl, like in other eastern
boundary upwelling systems. Previous studies have suggested that
upwelling-favorable winds would increase under climate change, due to an
enhancement of the thermally-driven cross-shore pressure gradient. Using
an atmospheric model on a stretched grid with increased horizontal
resolution in the PCUS, a dynamical downscaling of climate scenarios
from a global coupled general circulation model (CGCM) is performed to
investigate the processes leading to sea-surface wind changes.
Downscaled winds associated with present climate show reasonably good
agreement with climatological observations. Downscaled winds under
climate change show a strengthening off central Chile south of 35{\deg}S
(at 30{\deg}S-35{\deg}S) in austral summer (winter) and a weakening
elsewhere. An alongshore momentum balance shows that the wind slowdown
(strengthening) off Peru and northern Chile (off central Chile) is
associated with a decrease (an increase) in the alongshore pressure
gradient. Whereas the strengthening off Chile is likely due to the
poleward displacement and intensification of the South Pacific
Anticyclone, the slowdown off Peru may be associated with increased
precipitation over the tropics and associated convective anomalies, as
suggested by a vorticity budget analysis. On the other hand, an increase
in the land-sea temperature difference is not found to drive similar
changes in the cross-shore pressure gradient. Results from another
atmospheric model with distinct CGCM forcing and climate scenarios
suggest that projected wind changes off Peru are sensitive to concurrent
changes in sea surface temperature and rainfall.
}},
  doi = {10.1007/s00382-013-2015-2},
  adsurl = {http://adsabs.harvard.edu/abs/2014ClDy...43.1893B},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{2014NHESS..14..981D,
  author = {{Deroche}, M.-S. and {Choux}, M. and {Codron}, F. and {Yiou}, P.
	},
  title = {{Three variables are better than one: detection of european winter windstorms causing important damages}},
  journal = {Natural Hazards and Earth System Sciences},
  year = 2014,
  month = apr,
  volume = 14,
  pages = {981-993},
  abstract = {{In this paper, we present a new approach for detecting potentially
damaging European winter windstorms from a multi-variable perspective.
European winter windstorms being usually associated with extra-tropical
cyclones (ETCs), there is a coupling between the intensity of the
surface wind speeds and other meso-scale and large-scale features
characteristic of ETCs. Here we focus on the relative vorticity at 850
hPa and the sea level pressure anomaly, which are also used in ETC
detection studies, along with the ratio of the 10 m wind speed to its
98th percentile. When analysing 10 events known by the insurance
industry to have caused extreme damages, we find that they share an
intense signature in each of the 3 fields. This shows that the relative
vorticity and the mean sea level pressure have a predictive value of the
intensity of the generated windstorms. The 10 major events are not the
most intense in any of the 3 variables considered separately, but we
show that the combination of the 3 variables is an efficient way of
extracting these events from a reanalysis data set.
}},
  doi = {10.5194/nhess-14-981-2014},
  adsurl = {http://adsabs.harvard.edu/abs/2014NHESS..14..981D},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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