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lmd_Li2011.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:"Li"  ' -c year=2011 -c $type="ARTICLE" -oc lmd_Li2011.txt -ob lmd_Li2011.bib /home/WWW/LMD/public/Publis_LMDEMC3.link.bib}}
@article{2011ACP....1113061K,
  author = {{Kulmala}, M. and {Asmi}, A. and {Lappalainen}, H.~K. and {Baltensperger}, U. and 
	{Brenguier}, J.-L. and {Facchini}, M.~C. and {Hansson}, H.-C. and 
	{Hov}, {\O}. and {O'Dowd}, C.~D. and {P{\"o}schl}, U. and {Wiedensohler}, A. and 
	{Boers}, R. and {Boucher}, O. and {de Leeuw}, G. and {Denier van der Gon}, H.~A.~C. and 
	{Feichter}, J. and {Krejci}, R. and {Laj}, P. and {Lihavainen}, H. and 
	{Lohmann}, U. and {McFiggans}, G. and {Mentel}, T. and {Pilinis}, C. and 
	{Riipinen}, I. and {Schulz}, M. and {Stohl}, A. and {Swietlicki}, E. and 
	{Vignati}, E. and {Alves}, C. and {Amann}, M. and {Ammann}, M. and 
	{Arabas}, S. and {Artaxo}, P. and {Baars}, H. and {Beddows}, D.~C.~S. and 
	{Bergstr{\"o}m}, R. and {Beukes}, J.~P. and {Bilde}, M. and 
	{Burkhart}, J.~F. and {Canonaco}, F. and {Clegg}, S.~L. and 
	{Coe}, H. and {Crumeyrolle}, S. and {D'Anna}, B. and {Decesari}, S. and 
	{Gilardoni}, S. and {Fischer}, M. and {Fjaeraa}, A.~M. and {Fountoukis}, C. and 
	{George}, C. and {Gomes}, L. and {Halloran}, P. and {Hamburger}, T. and 
	{Harrison}, R.~M. and {Herrmann}, H. and {Hoffmann}, T. and 
	{Hoose}, C. and {Hu}, M. and {Hyv{\"a}rinen}, A. and {H{\~o}rrak}, U. and 
	{Iinuma}, Y. and {Iversen}, T. and {Josipovic}, M. and {Kanakidou}, M. and 
	{Kiendler-Scharr}, A. and {Kirkev{\aa}g}, A. and {Kiss}, G. and 
	{Klimont}, Z. and {Kolmonen}, P. and {Komppula}, M. and {Kristj{\'a}nsson}, J.-E. and 
	{Laakso}, L. and {Laaksonen}, A. and {Labonnote}, L. and {Lanz}, V.~A. and 
	{Lehtinen}, K.~E.~J. and {Rizzo}, L.~V. and {Makkonen}, R. and 
	{Manninen}, H.~E. and {McMeeking}, G. and {Merikanto}, J. and 
	{Minikin}, A. and {Mirme}, S. and {Morgan}, W.~T. and {Nemitz}, E. and 
	{O'Donnell}, D. and {Panwar}, T.~S. and {Pawlowska}, H. and 
	{Petzold}, A. and {Pienaar}, J.~J. and {Pio}, C. and {Plass-Duelmer}, C. and 
	{Prév{\^o}t}, A.~S.~H. and {Pryor}, S. and {Reddington}, C.~L. and 
	{Roberts}, G. and {Rosenfeld}, D. and {Schwarz}, J. and {Seland}, {\O}. and 
	{Sellegri}, K. and {Shen}, X.~J. and {Shiraiwa}, M. and {Siebert}, H. and 
	{Sierau}, B. and {Simpson}, D. and {Sun}, J.~Y. and {Topping}, D. and 
	{Tunved}, P. and {Vaattovaara}, P. and {Vakkari}, V. and {Veefkind}, J.~P. and 
	{Visschedijk}, A. and {Vuollekoski}, H. and {Vuolo}, R. and 
	{Wehner}, B. and {Wildt}, J. and {Woodward}, S. and {Worsnop}, D.~R. and 
	{van Zadelhoff}, G.-J. and {Zardini}, A.~A. and {Zhang}, K. and 
	{van Zyl}, P.~G. and {Kerminen}, V.-M. and {Carslaw}, K.~S. and 
	{Pandis}, S.~N.},
  title = {{General overview: European Integrated project on Aerosol Cloud Climate and Air Quality interactions (EUCAARI) - integrating aerosol research from nano to global scales}},
  journal = {Atmospheric Chemistry \& Physics},
  year = 2011,
  month = dec,
  volume = 11,
  pages = {13061-13143},
  abstract = {{In this paper we describe and summarize the main achievements of the
European Aerosol Cloud Climate and Air Quality Interactions project
(EUCAARI). EUCAARI started on 1 January 2007 and ended on 31 December
2010 leaving a rich legacy including: (a) a comprehensive database with
a year of observations of the physical, chemical and optical properties
of aerosol particles over Europe, (b) comprehensive aerosol measurements
in four developing countries, (c) a database of airborne measurements of
aerosols and clouds over Europe during May 2008, (d) comprehensive
modeling tools to study aerosol processes fron nano to global scale and
their effects on climate and air quality. In addition a new Pan-European
aerosol emissions inventory was developed and evaluated, a new cluster
spectrometer was built and tested in the field and several new aerosol
parameterizations and computations modules for chemical transport and
global climate models were developed and evaluated. These achievements
and related studies have substantially improved our understanding and
reduced the uncertainties of aerosol radiative forcing and air
quality-climate interactions. The EUCAARI results can be utilized in
European and global environmental policy to assess the aerosol impacts
and the corresponding abatement strategies.
}},
  doi = {10.5194/acp-11-13061-2011},
  adsurl = {http://adsabs.harvard.edu/abs/2011ACP....1113061K},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{2011ClDy...37.1975J,
  author = {{Johns}, T.~C. and {Royer}, J.-F. and {H{\"o}schel}, I. and 
	{Huebener}, H. and {Roeckner}, E. and {Manzini}, E. and {May}, W. and 
	{Dufresne}, J.-L. and {Otter{\aa}}, O.~H. and {van Vuuren}, D.~P. and 
	{Salas Y Melia}, D. and {Giorgetta}, M.~A. and {Denvil}, S. and 
	{Yang}, S. and {Fogli}, P.~G. and {K{\"o}rper}, J. and {Tjiputra}, J.~F. and 
	{Stehfest}, E. and {Hewitt}, C.~D.},
  title = {{Climate change under aggressive mitigation: the ENSEMBLES multi-model experiment}},
  journal = {Climate Dynamics},
  keywords = {Climate, Climate change, Carbon cycle, Projections, Mitigation, Stabilization, Allowable emissions, Emissions reduction, Earth system model, Multi-model, ENSEMBLES, CMIP5},
  year = 2011,
  month = nov,
  volume = 37,
  pages = {1975-2003},
  abstract = {{We present results from multiple comprehensive models used to simulate
an aggressive mitigation scenario based on detailed results of an
Integrated Assessment Model. The experiment employs ten global climate
and Earth System models (GCMs and ESMs) and pioneers elements of the
long-term experimental design for the forthcoming 5th Intergovernmental
Panel on Climate Change assessment. Atmospheric carbon-dioxide
concentrations pathways rather than carbon emissions are specified in
all models, including five ESMs that contain interactive carbon cycles.
Specified forcings also include minor greenhouse gas concentration
pathways, ozone concentration, aerosols (via concentrations or precursor
emissions) and land use change (in five models). The new aggressive
mitigation scenario (E1), constructed using an integrated assessment
model (IMAGE 2.4) with reduced fossil fuel use for energy production
aimed at stabilizing global warming below 2 K, is studied alongside the
medium-high non-mitigation scenario SRES A1B. Resulting twenty-first
century global mean warming and precipitation changes for A1B are
broadly consistent with previous studies. In E1 twenty-first century
global warming remains below 2 K in most models, but global mean
precipitation changes are higher than in A1B up to 2065 and consistently
higher per degree of warming. The spread in global temperature and
precipitation responses is partly attributable to inter-model variations
in aerosol loading and representations of aerosol-related radiative
forcing effects. Our study illustrates that the benefits of mitigation
will not be realised in temperature terms until several decades after
emissions reductions begin, and may vary considerably between regions. A
subset of the models containing integrated carbon cycles agree that land
and ocean sinks remove roughly half of present day anthropogenic carbon
emissions from the atmosphere, and that anthropogenic carbon emissions
must decrease by at least 50\% by 2050 relative to 1990, with further
large reductions needed beyond that to achieve the E1 concentrations
pathway. Negative allowable anthropogenic carbon emissions at and beyond
2100 cannot be ruled out for the E1 scenario. There is self-consistency
between the multi-model ensemble of allowable anthropogenic carbon
emissions and the E1 scenario emissions from IMAGE 2.4.
}},
  doi = {10.1007/s00382-011-1005-5},
  adsurl = {http://adsabs.harvard.edu/abs/2011ClDy...37.1975J},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{2011JCli...24.5223T,
  author = {{Teixeira}, J. and {Cardoso}, S. and {Bonazzola}, M. and {Cole}, J. and 
	{Delgenio}, A. and {Demott}, C. and {Franklin}, C. and {Hannay}, C. and 
	{Jakob}, C. and {Jiao}, Y. and {Karlsson}, J. and {Kitagawa}, H. and 
	{K{\"o}hler}, M. and {Kuwano-Yoshida}, A. and {Ledrian}, C. and 
	{Li}, J. and {Lock}, A. and {Miller}, M.~J. and {Marquet}, P. and 
	{Martins}, J. and {Mechoso}, C.~R. and {Meijgaard}, E.~V. and 
	{Meinke}, I. and {Miranda}, P.~M.~A. and {Mironov}, D. and {Neggers}, R. and 
	{Pan}, H.~L. and {Randall}, D.~A. and {Rasch}, P.~J. and {Rockel}, B. and 
	{Rossow}, W.~B. and {Ritter}, B. and {Siebesma}, A.~P. and {Soares}, P.~M.~M. and 
	{Turk}, F.~J. and {Vaillancourt}, P.~A. and {von Engeln}, A. and 
	{Zhao}, M.},
  title = {{Tropical and Subtropical Cloud Transitions in Weather and Climate Prediction Models: The GCSS/WGNE Pacific Cross-Section Intercomparison (GPCI)}},
  journal = {Journal of Climate},
  year = 2011,
  month = oct,
  volume = 24,
  pages = {5223-5256},
  doi = {10.1175/2011JCLI3672.1},
  adsurl = {http://adsabs.harvard.edu/abs/2011JCli...24.5223T},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{2011JCli...24.4741C,
  author = {{Chen}, W. and {Jiang}, Z. and {Li}, L.},
  title = {{Probabilistic Projections of Climate Change over China under the SRES A1B Scenario Using 28 AOGCMs}},
  journal = {Journal of Climate},
  year = 2011,
  month = sep,
  volume = 24,
  pages = {4741-4756},
  doi = {10.1175/2011JCLI4102.1},
  adsurl = {http://adsabs.harvard.edu/abs/2011JCli...24.4741C},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{2011ClDy...37.1269J,
  author = {{Johns}, T.~C. and {Royer}, J.-F. and {H{\"o}schel}, I. and 
	{Huebener}, H. and {Roeckner}, E. and {Manzini}, E. and {May}, W. and 
	{Dufresne}, J.-L. and {Otter{\aa}}, O.~H. and {van Vuuren}, D.~P. and 
	{Salas Y Melia}, D. and {Giorgetta}, M.~A. and {Denvil}, S. and 
	{Yang}, S. and {Fogli}, P.~G. and {K{\"o}rper}, J. and {Tjiputra}, J.~F. and 
	{Stehfest}, E. and {Hewitt}, C.~D.},
  title = {{Erratum to: Climate change under aggressive mitigation: the ENSEMBLES multi-model experiment}},
  journal = {Climate Dynamics},
  year = 2011,
  month = sep,
  volume = 37,
  pages = {1269-1270},
  doi = {10.1007/s00382-011-1102-5},
  adsurl = {http://adsabs.harvard.edu/abs/2011ClDy...37.1269J},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{2011ACP....11.7781H,
  author = {{Huneeus}, N. and {Schulz}, M. and {Balkanski}, Y. and {Griesfeller}, J. and 
	{Prospero}, J. and {Kinne}, S. and {Bauer}, S. and {Boucher}, O. and 
	{Chin}, M. and {Dentener}, F. and {Diehl}, T. and {Easter}, R. and 
	{Fillmore}, D. and {Ghan}, S. and {Ginoux}, P. and {Grini}, A. and 
	{Horowitz}, L. and {Koch}, D. and {Krol}, M.~C. and {Landing}, W. and 
	{Liu}, X. and {Mahowald}, N. and {Miller}, R. and {Morcrette}, J.-J. and 
	{Myhre}, G. and {Penner}, J. and {Perlwitz}, J. and {Stier}, P. and 
	{Takemura}, T. and {Zender}, C.~S.},
  title = {{Global dust model intercomparison in AeroCom phase I}},
  journal = {Atmospheric Chemistry \& Physics},
  year = 2011,
  month = aug,
  volume = 11,
  pages = {7781-7816},
  abstract = {{This study presents the results of a broad intercomparison of a total of
15 global aerosol models within the AeroCom project. Each model is
compared to observations related to desert dust aerosols, their direct
radiative effect, and their impact on the biogeochemical cycle, i.e.,
aerosol optical depth (AOD) and dust deposition. Additional comparisons
to Angstr{\"o}m exponent (AE), coarse mode AOD and dust surface
concentrations are included to extend the assessment of model
performance and to identify common biases present in models. These data
comprise a benchmark dataset that is proposed for model inspection and
future dust model development. There are large differences among the
global models that simulate the dust cycle and its impact on climate. In
general, models simulate the climatology of vertically integrated
parameters (AOD and AE) within a factor of two whereas the total
deposition and surface concentration are reproduced within a factor of
10. In addition, smaller mean normalized bias and root mean square
errors are obtained for the climatology of AOD and AE than for total
deposition and surface concentration. Characteristics of the datasets
used and their uncertainties may influence these differences. Large
uncertainties still exist with respect to the deposition fluxes in the
southern oceans. Further measurements and model studies are necessary to
assess the general model performance to reproduce dust deposition in
ocean regions sensible to iron contributions. Models overestimate the
wet deposition in regions dominated by dry deposition. They generally
simulate more realistic surface concentration at stations downwind of
the main sources than at remote ones. Most models simulate the gradient
in AOD and AE between the different dusty regions. However the
seasonality and magnitude of both variables is better simulated at
African stations than Middle East ones. The models simulate the offshore
transport of West Africa throughout the year but they overestimate the
AOD and they transport too fine particles. The models also reproduce the
dust transport across the Atlantic in the summer in terms of both AOD
and AE but not so well in winter-spring nor the southward displacement
of the dust cloud that is responsible of the dust transport into South
America. Based on the dependency of AOD on aerosol burden and size
distribution we use model bias with respect to AOD and AE to infer the
bias of the dust emissions in Africa and the Middle East. According to
this analysis we suggest that a range of possible emissions for North
Africa is 400 to 2200 Tg yr$^{-1}$ and in the Middle East 26 to
526 Tg yr$^{-1}$.
}},
  doi = {10.5194/acp-11-7781-2011},
  adsurl = {http://adsabs.harvard.edu/abs/2011ACP....11.7781H},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{2011MWRv..139.1370L,
  author = {{Lothon}, M. and {Campistron}, B. and {Chong}, M. and {Couvreux}, F. and 
	{Guichard}, F. and {Rio}, C. and {Williams}, E.},
  title = {{Life Cycle of a Mesoscale Circular Gust Front Observed by a C-Band Doppler Radar in West Africa}},
  journal = {Monthly Weather Review},
  year = 2011,
  month = may,
  volume = 139,
  pages = {1370-1388},
  doi = {10.1175/2010MWR3480.1},
  adsurl = {http://adsabs.harvard.edu/abs/2011MWRv..139.1370L},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{2011Icar..213....1L,
  author = {{Léger}, A. and {Grasset}, O. and {Fegley}, B. and {Codron}, F. and 
	{Albarede}, A.~F. and {Barge}, P. and {Barnes}, R. and {Cance}, P. and 
	{Carpy}, S. and {Catalano}, F. and {Cavarroc}, C. and {Demangeon}, O. and 
	{Ferraz-Mello}, S. and {Gabor}, P. and {Grie{\ss}meier}, J.-M. and 
	{Leibacher}, J. and {Libourel}, G. and {Maurin}, A.-S. and {Raymond}, S.~N. and 
	{Rouan}, D. and {Samuel}, B. and {Schaefer}, L. and {Schneider}, J. and 
	{Schuller}, P.~A. and {Selsis}, F. and {Sotin}, C.},
  title = {{The extreme physical properties of the CoRoT-7b super-Earth}},
  journal = {\icarus},
  archiveprefix = {arXiv},
  eprint = {1102.1629},
  primaryclass = {astro-ph.EP},
  year = 2011,
  month = may,
  volume = 213,
  pages = {1-11},
  abstract = {{The search for rocky exoplanets plays an important role in our quest for
extra-terrestrial life. Here, we discuss the extreme physical properties
possible for the first characterised rocky super-Earth, CoRoT-7b ( R
$_{pl}$ = 1.58 {\plusmn} 0.10 R $_{Earth}$, M $_{pl}$ =
6.9 {\plusmn} 1.2 M $_{Earth}$). It is extremely close to its star
( a = 0.0171 AU = 4.48 R $_{st}$), with its spin and orbital
rotation likely synchronised. The comparison of its location in the ( M
$_{pl}$, R $_{pl}$) plane with the predictions of planetary
models for different compositions points to an Earth-like composition,
even if the error bars of the measured quantities and the partial
degeneracy of the models prevent a definitive conclusion. The proximity
to its star provides an additional constraint on the model. It implies a
high extreme-UV flux and particle wind, and the corresponding efficient
erosion of the planetary atmosphere especially for volatile species
including water. Consequently, we make the working hypothesis that the
planet is rocky with no volatiles in its atmosphere, and derive the
physical properties that result. As a consequence, the atmosphere is
made of rocky vapours with a very low pressure ( P {\les} 1.5 Pa), no
cloud can be sustained, and no thermalisation of the planet is expected.
The dayside is very hot (2474 {\plusmn} 71 K at the sub-stellar point)
while the nightside is very cold (50-75 K). The sub-stellar point is as
hot as the tungsten filament of an incandescent bulb, resulting in the
melting and distillation of silicate rocks and the formation of a lava
ocean. These possible features of CoRoT-7b could be common to many small
and hot planets, including the recently discovered Kepler-10b. They
define a new class of objects that we propose to name '' Lava-ocean
planets''.
}},
  doi = {10.1016/j.icarus.2011.02.004},
  adsurl = {http://adsabs.harvard.edu/abs/2011Icar..213....1L},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{2011JAtS...68..553G,
  author = {{Gastineau}, G. and {Li}, L. and {Le Treut}, H.},
  title = {{Some Atmospheric Processes Governing the Large-Scale Tropical Circulation in Idealized Aquaplanet Simulations}},
  journal = {Journal of Atmospheric Sciences},
  year = 2011,
  month = mar,
  volume = 68,
  pages = {553-575},
  doi = {10.1175/2010JAS3439.1},
  adsurl = {http://adsabs.harvard.edu/abs/2011JAtS...68..553G},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{2011ClDy...36..491C,
  author = {{Chen}, W. and {Jiang}, Z. and {Li}, L. and {Yiou}, P.},
  title = {{Simulation of regional climate change under the IPCC A2 scenario in southeast China}},
  journal = {Climate Dynamics},
  keywords = {Climate change, Climate extremes, Variable-grid model, Southeast China},
  year = 2011,
  month = feb,
  volume = 36,
  pages = {491-507},
  abstract = {{A variable-grid atmospheric general circulation model, LMDZ, with a
local zoom over southeast China is used to investigate regional climate
changes in terms of both means and extremes. Two time slices of 30 years
are chosen to represent, respectively, the end of the 20th century and
the middle of the 21st century. The lower-boundary conditions
(sea-surface temperature and sea-ice extension) are taken from the
outputs of three global coupled climate models: Institut Pierre-Simon
Laplace (IPSL), Centre National de Recherches
Météorologiques (CNRM) and Geophysical Fluid Dynamics
Laboratory (GFDL). Results from a two-way nesting system between
LMDZ-global and LMDZ-regional are also presented. The evaluation of
simulated temperature and precipitation for the current climate shows
that LMDZ reproduces generally well the spatial distribution of mean
climate and extreme climate events in southeast China, but the model has
systematic cold biases in temperature and tends to overestimate the
extreme precipitation. The two-way nesting model can reduce the ''cold
bias'' to some extent compared to the one-way nesting model. Results with
greenhouse gas forcing from the SRES-A2 emission scenario show that
there is a significant increase for mean, daily-maximum and minimum
temperature in the entire region, associated with a decrease in the
number of frost days and an increase in the heat wave duration. The
annual frost days are projected to significantly decrease by 12-19 days
while the heat wave duration to increase by about 7 days. A warming
environment gives rise to changes in extreme precipitation events.
Except two simulations (LMDZ/GFDL and LMDZ/IPSL2) that project a
decrease in maximum 5-day precipitation (R5d) for winter, other
precipitation extremes are projected to increase over most of southeast
China in all seasons, and among the three global scenarios. The
domain-averaged values for annual simple daily intensity index (SDII),
R5d and fraction of total rainfall from extreme events (R95t) are
projected to increase by 6-7, 10-13 and 11-14\%, respectively, relative
to their present-day values. However, it is clear that more research
will be needed to assess the uncertainties on the projection in future
of climate extremes at local scale.
}},
  doi = {10.1007/s00382-010-0910-3},
  adsurl = {http://adsabs.harvard.edu/abs/2011ClDy...36..491C},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{2011E&PSL.301..307S;,
  author = {{Shi}, C. and {Masson-Delmotte}, V. and {Risi}, C. and {Eglin}, T. and 
	{Stievenard}, M. and {Pierre}, M. and {Wang}, X. and {Gao}, J. and 
	{Bréon}, F.-M. and {Zhang}, Q.-B. and {Daux}, V.},
  title = {{Sampling strategy and climatic implications of tree-ring stable isotopes on the southeast Tibetan Plateau}},
  journal = {Earth and Planetary Science Letters},
  year = 2011,
  month = jan,
  volume = 301,
  pages = {307-316},
  abstract = {{We explore the potential of tree-ring cellulose {$\delta$}$^{18}$O
and {$\delta$}$^{13}$C records for reconstructing climate variability
in the southeast Tibetan Plateau. Our sampling strategy was designed to
investigate intra and inter-tree variability, and the effects of the age
of tree on {$\delta$}$^{18}$O variation. We show that intra-tree
{$\delta$}$^{13}$C and {$\delta$}$^{18}$O variability is
negligible, and inter-tree coherence is sufficient to build robust
tree-ring {$\delta$}$^{18}$O or {$\delta$}$^{13}$C chronologies
based on only four trees. There is no evidence of an age effect
regarding {$\delta$}$^{18}$O, in contrast with tree-ring width. In
our warm and moist sampling site, young tree {$\delta$}$^{13}$C is
not clearly correlated with monthly mean meteorological data. Tree-ring
{$\delta$}$^{18}$O appears significantly anti-correlated with summer
precipitation amount, regional cloud cover, and relative humidity.
Simulations conducted with the ORCHIDEE land surface model confirm the
observed contribution of relative humidity to tree cellulose
{$\delta$}$^{18}$O, and explain the weak correlation of
{$\delta$}$^{13}$C with climate by the non-linear integration linked
with photosynthesis. Altogether, the tree-ring cellulose
{$\delta$}$^{18}$O is shown to be a promising proxy to reconstruct
regional summer moisture variability prior to the instrumental period.
}},
  doi = {10.1016/j.epsl.2010.11.014},
  adsurl = {http://adsabs.harvard.edu/abs/2011E%26PSL.301..307S},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{2011AtScL..12..116R,
  author = {{Ruti}, P.~M. and {Williams}, J.~E. and {Hourdin}, F. and {Guichard}, F. and 
	{Boone}, A. and {van Velthoven}, P. and {Favot}, F. and {Musat}, I. and 
	{Rummukainen}, M. and {Dom{\'{\i}}nguez}, M. and {Gaertner}, M.~{\'A}. and 
	{Lafore}, J.~P. and {Losada}, T. and {Rodriguez de Fonseca}, M.~B. and 
	{Polcher}, J. and {Giorgi}, F. and {Xue}, Y. and {Bouarar}, I. and 
	{Law}, K. and {Josse}, B. and {Barret}, B. and {Yang}, X. and 
	{Mari}, C. and {Traore}, A.~K.},
  title = {{The West African climate system: a review of the AMMA model inter-comparison initiatives}},
  journal = {Atmospheric Science Letters},
  year = 2011,
  month = jan,
  volume = 12,
  pages = {116-122},
  doi = {10.1002/asl.305},
  adsurl = {http://adsabs.harvard.edu/abs/2011AtScL..12..116R},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{2011AtScL..12...38T,
  author = {{Taylor}, C.~M. and {Parker}, D.~J. and {Kalthoff}, N. and {Gaertner}, M.~A. and 
	{Philippon}, N. and {Bastin}, S. and {Harris}, P.~P. and {Boone}, A. and 
	{Guichard}, F. and {Agusti-Panareda}, A. and {Baldi}, M. and 
	{Cerlini}, P. and {Descroix}, L. and {Douville}, H. and {Flamant}, C. and 
	{Grandpeix}, J.-Y. and {Polcher}, J.},
  title = {{New perspectives on land-atmosphere feedbacks from the African Monsoon Multidisciplinary Analysis}},
  journal = {Atmospheric Science Letters},
  year = 2011,
  month = jan,
  volume = 12,
  pages = {38-44},
  doi = {10.1002/asl.336},
  adsurl = {http://adsabs.harvard.edu/abs/2011AtScL..12...38T},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
Contact information

EMC3 group

LMD/CNRS/UPMC
Case 99
Tour 45-55, 3ème étage
4 Place Jussieu
75252 Paris Cedex 05
FRANCE
Tel: 33 + 1 44 27 27 99
      33 + 6 16 27 34 18 (Dr F. Cheruy)
Tel: 33 + 1 44 27 35 25 (Secretary)
Fax: 33 + 1 44 27 62 72
email: emc3 at lmd.jussieu.fr

Map of our location

EUREC4A campaign

logo_eurec4a.fc481ace.png

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