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@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:"Bony"  ' -c year=2005 -c $type="ARTICLE" -oc lmd_Bony2005.txt -ob lmd_Bony2005.bib /home/WWW/LMD/public/}}
  author = {{Haeffelin}, M. and {Barthès}, L. and {Bock}, O. and {Boitel}, C. and 
	{Bony}, S. and {Bouniol}, D. and {Chepfer}, H. and {Chiriaco}, M. and 
	{Cuesta}, J. and {Delanoë}, J. and {Drobinski}, P. and {Dufresne}, J.-L. and 
	{Flamant}, C. and {Grall}, M. and {Hodzic}, A. and {Hourdin}, F. and 
	{Lapouge}, F. and {Lema{\^i}tre}, Y. and {Mathieu}, A. and {Morille}, Y. and 
	{Naud}, C. and {Noël}, V. and {O'Hirok}, W. and {Pelon}, J. and 
	{Pietras}, C. and {Protat}, A. and {Romand}, B. and {Scialom}, G. and 
	{Vautard}, R.},
  title = {{SIRTA, a ground-based atmospheric observatory for cloud and aerosol research}},
  journal = {Annales Geophysicae},
  year = 2005,
  month = feb,
  volume = 23,
  pages = {253-275},
  abstract = {{Ground-based remote sensing observatories have a crucial role to play in
providing data to improve our understanding of atmospheric processes, to
test the performance of atmospheric models, and to develop new methods
for future space-borne observations. Institut Pierre Simon Laplace, a
French research institute in environmental sciences, created the Site
Instrumental de Recherche par Télédétection
Atmosphérique (SIRTA), an atmospheric observatory with these
goals in mind. Today SIRTA, located 20km south of Paris, operates a
suite a state-of-the-art active and passive remote sensing instruments
dedicated to routine monitoring of cloud and aerosol properties, and key
atmospheric parameters. Detailed description of the state of the
atmospheric column is progressively archived and made accessible to the
scientific community. This paper describes the SIRTA infrastructure and
database, and provides an overview of the scientific research associated
with the observatory. Researchers using SIRTA data conduct research on
atmospheric processes involving complex interactions between clouds,
aerosols and radiative and dynamic processes in the atmospheric column.
Atmospheric modellers working with SIRTA observations develop new
methods to test their models and innovative analyses to improve
parametric representations of sub-grid processes that must be accounted
for in the model. SIRTA provides the means to develop data
interpretation tools for future active remote sensing missions in space
(e.g. CloudSat and CALIPSO). SIRTA observation and research activities
take place in networks of atmospheric observatories that allow
scientists to access consistent data sets from diverse regions on the
  doi = {10.5194/angeo-23-253-2005},
  adsurl = {},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
  author = {{Bony}, S. and {Dufresne}, J.-L.},
  title = {{Marine boundary layer clouds at the heart of tropical cloud feedback uncertainties in climate models}},
  journal = {\grl},
  keywords = {Atmospheric Processes: Climate change and variability (1616, 1635, 3309, 4215, 4513), Atmospheric Processes: Boundary layer processes, Atmospheric Processes: Clouds and cloud feedbacks, Atmospheric Processes: Global climate models (1626, 4928), Atmospheric Processes: Tropical meteorology},
  year = 2005,
  month = oct,
  volume = 32,
  eid = {L20806},
  pages = {20806},
  abstract = {{The radiative response of tropical clouds to global warming exhibits a
large spread among climate models, and this constitutes a major source
of uncertainty for climate sensitivity estimates. To better interpret
the origin of that uncertainty, we analyze the sensitivity of the
tropical cloud radiative forcing to a change in sea surface temperature
that is simulated by 15 coupled models simulating climate change and
current interannual variability. We show that it is in regimes of
large-scale subsidence that the model results (1) differ the most in
climate change and (2) disagree the most with observations in the
current climate (most models underestimate the interannual sensitivity
of clouds albedo to a change in temperature). This suggests that the
simulation of the sensitivity of marine boundary layer clouds to
changing environmental conditions constitutes, currently, the main
source of uncertainty in tropical cloud feedbacks simulated by general
circulation models.
  doi = {10.1029/2005GL023851},
  adsurl = {},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
  author = {{Vimeux}, F. and {Gallaire}, R. and {Bony}, S. and {Hoffmann}, G. and 
	{Chiang}, J.~C.~H.},
  title = {{What are the climate controls on @dD in precipitation in the Zongo Valley (Bolivia)? Implications for the Illimani ice core interpretation [rapid communication]}},
  journal = {Earth and Planetary Science Letters},
  year = 2005,
  month = dec,
  volume = 240,
  pages = {205-220},
  abstract = {{Controversy has surrounded the interpretation of the water isotopic
composition ( {$\delta$}D or {$\delta$}$^{18}$O) in tropical and
subtropical ice cores in South America. Although recent modeling studies
using AGCM have provided useful constraints at interannual time scales,
no direct calibration based on modern observations has been achieved. In
the context of the recent ice core drilling at Nevado Illimani
(16{\deg}39'S-67{\deg}47'W) in Bolivia, we examine the climatic controls
on the modern isotopic composition of precipitation in the Zongo Valley,
located on the northeast side of the Cordillera Real, at about 55 km
from Nevado Illimani. Monthly precipitation samples were collected from
September 1999 to August 2004 at various altitudes along this valley.
First we examine the local and regional controls on the common {$\delta$}D
signal measured along this valley. We show that (1) local temperature
has definitely no control on {$\delta$}D variations, and (2) local rainout
is a poor factor to explain {$\delta$}D variations. We thus seek regional
controls upstream the Valley potentially affecting air masses
distillation. Based on backtrajectory calculations and using satellite
data (TRMM precipitation, NOAA OLR) and direct observations of
precipitation (IAEA/GNIP), we show that moisture transport history and
the degree of rainout upstream are more important factors explaining
seasonal {$\delta$}D variations. Analysis of a 92-yr simulation from the
ECHAM-4 model (T30 version) implemented with water stable isotopes
confirms our observations at seasonal time scale and emphasize the role
of air masses distillation upstream as a prominent factor controlling
interannual {$\delta$}D variations. Lastly, we focus on the isotopic
depletion along the valley when air masses are lifted up. Our results
suggest that, if the temperature gradient between the base and the top
of the Andes was higher by a few degrees during the Last Glacial Maximum
(LGM), less than 10\% of the glacial to interglacial isotopic variation
recorded in the Illimani ice core could be accounted for by this
temperature change. It implies that the rest of the variation would
originate from wetter conditions along air masses trajectory during LGM.
  doi = {10.1016/j.epsl.2005.09.031},
  adsurl = {},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
  author = {{Zhang}, M.~H. and {Lin}, W.~Y. and {Klein}, S.~A. and {Bacmeister}, J.~T. and 
	{Bony}, S. and {Cederwall}, R.~T. and {Del Genio}, A.~D. and 
	{Hack}, J.~J. and {Loeb}, N.~G. and {Lohmann}, U. and {Minnis}, P. and 
	{Musat}, I. and {Pincus}, R. and {Stier}, P. and {Suarez}, M.~J. and 
	{Webb}, M.~J. and {Wu}, J.~B. and {Xie}, S.~C. and {Yao}, M.-S. and 
	{Zhang}, J.~H.},
  title = {{Comparing clouds and their seasonal variations in 10 atmospheric general circulation models with satellite measurements}},
  journal = {Journal of Geophysical Research (Atmospheres)},
  keywords = {Atmospheric Processes: Clouds and cloud feedbacks, Atmospheric Processes: Global climate models (1626, 4928), Atmospheric Processes: Theoretical modeling, Global Change: Global climate models (3337, Global Change: Climate dynamics (0429, 3309), climate models, cloud modeling, seasonal variation of clouds},
  year = 2005,
  month = aug,
  volume = 110,
  number = d9,
  eid = {D15S02},
  pages = {15},
  abstract = {{To assess the current status of climate models in simulating clouds,
basic cloud climatologies from ten atmospheric general circulation
models are compared with satellite measurements from the International
Satellite Cloud Climatology Project (ISCCP) and the Clouds and Earth's
Radiant Energy System (CERES) program. An ISCCP simulator is employed in
all models to facilitate the comparison. Models simulated a four-fold
difference in high-top clouds. There are also, however, large
uncertainties in satellite high thin clouds to effectively constrain the
models. The majority of models only simulated 30-40\% of middle-top
clouds in the ISCCP and CERES data sets. Half of the models
underestimated low clouds, while none overestimated them at a
statistically significant level. When stratified in the optical
thickness ranges, the majority of the models simulated optically thick
clouds more than twice the satellite observations. Most models, however,
underestimated optically intermediate and thin clouds. Compensations of
these clouds biases are used to explain the simulated longwave and
shortwave cloud radiative forcing at the top of the atmosphere. Seasonal
sensitivities of clouds are also analyzed to compare with observations.
Models are shown to simulate seasonal variations better for high clouds
than for low clouds. Latitudinal distribution of the seasonal variations
correlate with satellite measurements at {\gt}0.9, 0.6-0.9, and -0.2-0.7
levels for high, middle, and low clouds, respectively. The seasonal
sensitivities of cloud types are found to strongly depend on the basic
cloud climatology in the models. Models that systematically
underestimate middle clouds also underestimate seasonal variations,
while those that overestimate optically thick clouds also overestimate
their seasonal sensitivities. Possible causes of the systematic cloud
biases in the models are discussed.
  doi = {10.1029/2004JD005021},
  adsurl = {},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
  author = {{Bony}, S. and {Emanuel}, K.~A.},
  title = {{On the Role of Moist Processes in Tropical Intraseasonal Variability: Cloud-Radiation and Moisture-Convection Feedbacks.}},
  journal = {Journal of Atmospheric Sciences},
  year = 2005,
  month = aug,
  volume = 62,
  pages = {2770-2789},
  abstract = {{Recent observations of the tropical atmosphere reveal large variations
of water vapor and clouds at intraseasonal time scales. This study
investigates the role of these variations in the large-scale
organization of the tropical atmosphere, and in intraseasonal
variability in particular. For this purpose, the influence of feedbacks
between moisture (water vapor, clouds), radiation, and convection that
affect the growth rate and the phase speed of unstable modes of the
tropical atmosphere is investigated.Results from a simple linear model
suggest that interactions between moisture and tropospheric radiative
cooling, referred to as moist-radiative feedbacks, play a significant
role in tropical intraseasonal variability. Their primary effect is to
reduce the phase speed of large-scale tropical disturbances: by cooling
the atmosphere less efficiently during the rising phase of the
oscillations (when the atmosphere is moister) than during episodes of
large-scale subsidence (when the atmosphere is drier), the atmospheric
radiative heating reduces the effective stratification felt by
propagating waves and slows down their propagation. In the presence of
significant moist-radiative feedbacks, planetary disturbances are
characterized by an approximately constant frequency. In addition,
moist-radiative feedbacks excite small-scale disturbances advected by
the mean flow. The interactions between moisture and convection exert a
selective damping effect upon small-scale disturbances, thereby favoring
large-scale propagating waves at the expense of small-scale advective
disturbances. They also weaken the ability of radiative processes to
slow down the propagation of planetary-scale disturbances. This study
suggests that a deficient simulation of cloud radiative interactions or
of convection-moisture interactions may explain some of the difficulties
experienced by general circulation models in simulating tropical
intraseasonal oscillations.
  doi = {10.1175/JAS3506.1},
  adsurl = {},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
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