Personal tools

##### Sections
You are here: Home / lmd_Bony2012_bib.html

# lmd_Bony2012.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:"Bony"  ' -c year=2012 -c $type="ARTICLE" -oc lmd_Bony2012.txt -ob lmd_Bony2012.bib /home/WWW/LMD/public/Publis_LMDEMC3.link.bib}}  @article{2012GeoRL..3921801N, author = {{Nam}, C. and {Bony}, S. and {Dufresne}, J.-L. and {Chepfer}, H. }, title = {{The {\lsquo}too few, too bright{\rsquo} tropical low-cloud problem in CMIP5 models}}, journal = {\grl}, keywords = {Atmospheric Composition and Structure: Cloud/radiation interaction, Atmospheric Composition and Structure: Radiation: transmission and scattering, Global Change: Atmosphere (0315, 0325), Global Change: Earth system modeling (1225, 4316), Global Change: Global climate models (3337, 4928)}, year = 2012, month = nov, volume = 39, eid = {L21801}, pages = {21801}, abstract = {{Previous generations of climate models have been shown to under-estimate the occurrence of tropical low-level clouds and to over-estimate their radiative effects. This study analyzes outputs from multiple climate models participating in the Fifth phase of the Coupled Model Intercomparison Project (CMIP5) using the Cloud Feedback Model Intercomparison Project Observations Simulator Package (COSP), and compares them with different satellite data sets. Those include CALIPSO lidar observations, PARASOL mono-directional reflectances and CERES radiative fluxes at the top of the atmosphere. We show that current state-of-the-art climate models predict overly bright low-clouds, even for a correct low-cloud cover. The impact of these biases on the Earth' radiation budget, however, is reduced by compensating errors. Those include the tendency of models to under-estimate the low-cloud cover and to over-estimate the occurrence of mid- and high-clouds above low-clouds. Finally, we show that models poorly represent the dependence of the vertical structure of low-clouds on large-scale environmental conditions. The implications of this {\lsquo}too few, too bright low-cloud problem{\rsquo} for climate sensitivity and model development are discussed. }}, doi = {10.1029/2012GL053421}, adsurl = {http://adsabs.harvard.edu/abs/2012GeoRL..3921801N}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} }  @article{2012ACP....1210817L, author = {{Lacour}, J.-L. and {Risi}, C. and {Clarisse}, L. and {Bony}, S. and {Hurtmans}, D. and {Clerbaux}, C. and {Coheur}, P.-F.}, title = {{Mid-tropospheric {$\delta$}D observations from IASI/MetOp at high spatial and temporal resolution}}, journal = {Atmospheric Chemistry \& Physics}, year = 2012, month = nov, volume = 12, pages = {10817-10832}, abstract = {{In this paper we retrieve atmospheric HDO, H$_{2}$O concentrations and their ratio {$\delta$}D from IASI radiances spectra. Our method relies on an existing radiative transfer model (Atmosphit) and an optimal estimation inversion scheme, but goes further than our previous work by explicitly considering correlations between the two species. A global HDO and H$_{2}$O a priori profile together with a covariance matrix were built from daily LMDz-iso model simulations of HDO and H$_{2}$O profiles over the whole globe and a whole year. The retrieval parameters are described and characterized in terms of errors. We show that IASI is mostly sensitive to {$\delta$}D in the middle troposphere and allows retrieving {$\delta$}D for an integrated 3-6 km column with an error of 38{\permil} on an individual measurement basis. We examine the performance of the retrieval to capture the temporal (seasonal and short-term) and spatial variations of {$\delta$}D for one year of measurement at two dedicated sites (Darwin and Iza{\~n}a) and a latitudinal band from -60{\deg} to 60{\deg} for a 15 day period in January. We report a generally good agreement between IASI and the model and indicate the capabilities of IASI to reproduce the large scale variations of {$\delta$}D (seasonal cycle and latitudinal gradient) with good accuracy. In particular, we show that there is no systematic significant bias in the retrieved {$\delta$}D values in comparison with the model, and that the retrieved variability is similar to the one in the model even though there are certain local differences. Moreover, the noticeable differences between IASI and the model are briefly examined and suggest modeling issues instead of retrieval effects. Finally, the results further reveal the unprecedented capabilities of IASI to capture short-term variations in {$\delta$}D, highlighting the added value of the sounder for monitoring hydrological processes. }}, doi = {10.5194/acp-12-10817-2012}, adsurl = {http://adsabs.harvard.edu/abs/2012ACP....1210817L}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} }  @article{2012JGRD..117.5304R, author = {{Risi}, C. and {Noone}, D. and {Worden}, J. and {Frankenberg}, C. and {Stiller}, G. and {Kiefer}, M. and {Funke}, B. and {Walker}, K. and {Bernath}, P. and {Schneider}, M. and {Bony}, S. and {Lee}, J. and {Brown}, D. and {Sturm}, C.}, title = {{Process-evaluation of tropospheric humidity simulated by general circulation models using water vapor isotopic observations: 2. Using isotopic diagnostics to understand the mid and upper tropospheric moist bias in the tropics and subtropics}}, journal = {Journal of Geophysical Research (Atmospheres)}, keywords = {general circulation models, process-based evaluation, relative humidity, water isotopes, Atmospheric Composition and Structure: Cloud physics and chemistry, Atmospheric Composition and Structure: Troposphere: composition and chemistry, Atmospheric Processes: Global climate models (1626, 4928), Atmospheric Processes: Remote sensing (4337)}, year = 2012, month = mar, volume = 117, eid = {D05304}, pages = {5304}, abstract = {{Evaluating the representation of processes controlling tropical and subtropical tropospheric relative humidity (RH) in atmospheric general circulation models (GCMs) is crucial to assess the credibility of predicted climate changes. GCMs have long exhibited a moist bias in the tropical and subtropical mid and upper troposphere, which could be due to the mis-representation of cloud processes or of the large-scale circulation, or to excessive diffusion during water vapor transport. The goal of this study is to use observations of the water vapor isotopic ratio to understand the cause of this bias. We compare the three-dimensional distribution of the water vapor isotopic ratio measured from space and ground to that simulated by several versions of the isotopic GCM LMDZ. We show that the combined evaluation of RH and of the water vapor isotopic composition makes it possible to discriminate the most likely cause of RH biases. Models characterized either by an excessive vertical diffusion, an excessive convective detrainment or an underestimated in situ cloud condensation will all produce a moist bias in the free troposphere. However, only an excessive vertical diffusion can lead to a reversed seasonality of the free tropospheric isotopic composition in the subtropics compared to observations. Comparing seven isotopic GCMs suggests that the moist bias found in many GCMs in the mid and upper troposphere most frequently results from an excessive diffusion during vertical water vapor transport. This study demonstrates the added value of water vapor isotopic measurements for interpreting shortcomings in the simulation of RH by climate models. }}, doi = {10.1029/2011JD016623}, adsurl = {http://adsabs.harvard.edu/abs/2012JGRD..117.5304R}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} }  @article{2012JGRD..117.5303R, author = {{Risi}, C. and {Noone}, D. and {Worden}, J. and {Frankenberg}, C. and {Stiller}, G. and {Kiefer}, M. and {Funke}, B. and {Walker}, K. and {Bernath}, P. and {Schneider}, M. and {Wunch}, D. and {Sherlock}, V. and {Deutscher}, N. and {Griffith}, D. and {Wennberg}, P.~O. and {Strong}, K. and {Smale}, D. and {Mahieu}, E. and {Barthlott}, S. and {Hase}, F. and {Garc{\'{\i}}A}, O. and {Notholt}, J. and {Warneke}, T. and {Toon}, G. and {Sayres}, D. and {Bony}, S. and {Lee}, J. and {Brown}, D. and {Uemura}, R. and {Sturm}, C.}, title = {{Process-evaluation of tropospheric humidity simulated by general circulation models using water vapor isotopologues: 1. Comparison between models and observations}}, journal = {Journal of Geophysical Research (Atmospheres)}, keywords = {general circulation models, process-based evaluation, relative humidity, water isotopes, Atmospheric Composition and Structure: Cloud physics and chemistry, Atmospheric Composition and Structure: Troposphere: composition and chemistry, Atmospheric Processes: Global climate models (1626, 4928), Atmospheric Processes: Regional modeling (4316), Paleoceanography: Global climate models (1626, 3337)}, year = 2012, month = mar, volume = 117, eid = {D05303}, pages = {5303}, abstract = {{The goal of this study is to determine how H$_{2}$O and HDO measurements in water vapor can be used to detect and diagnose biases in the representation of processes controlling tropospheric humidity in atmospheric general circulation models (GCMs). We analyze a large number of isotopic data sets (four satellite, sixteen ground-based remote-sensing, five surface in situ and three aircraft data sets) that are sensitive to different altitudes throughout the free troposphere. Despite significant differences between data sets, we identify some observed HDO/H$_{2}\$O characteristics that are robust across data
sets and that can be used to evaluate models. We evaluate the isotopic
GCM LMDZ, accounting for the effects of spatiotemporal sampling and
instrument sensitivity. We find that LMDZ reproduces the spatial
patterns in the lower and mid troposphere remarkably well. However, it
underestimates the amplitude of seasonal variations in isotopic
composition at all levels in the subtropics and in midlatitudes, and
this bias is consistent across all data sets. LMDZ also underestimates
the observed meridional isotopic gradient and the contrast between dry
and convective tropical regions compared to satellite data sets.
Comparison with six other isotope-enabled GCMs from the SWING2 project
shows that biases exhibited by LMDZ are common to all models. The SWING2
GCMs show a very large spread in isotopic behavior that is not obviously
related to that of humidity, suggesting water vapor isotopic
measurements could be used to expose model shortcomings. In a companion
paper, the isotopic differences between models are interpreted in terms
of biases in the representation of processes controlling humidity.
}},
doi = {10.1029/2011JD016621},
adsurl = {http://adsabs.harvard.edu/abs/2012JGRD..117.5303R},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@article{2012JCli...25.6885T,
author = {{Tobin}, I. and {Bony}, S. and {Roca}, R.},
title = {{Observational Evidence for Relationships between the Degree of Aggregation of Deep Convection, Water Vapor, Surface Fluxes, and Radiation}},
journal = {Journal of Climate},
year = 2012,
month = oct,
volume = 25,
pages = {6885-6904},
doi = {10.1175/JCLI-D-11-00258.1},
adsurl = {http://adsabs.harvard.edu/abs/2012JCli...25.6885T},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@article{2012GeoRL..3920807B,
author = {{Brient}, F. and {Bony}, S.},
title = {{How may low-cloud radiative properties simulated in the current climate influence low-cloud feedbacks under global warming?}},
journal = {\grl},
keywords = {Atmospheric Composition and Structure: Cloud/radiation interaction, Global Change: Atmosphere (0315, 0325), Global Change: Global climate models (3337, 4928), Atmospheric Processes: Clouds and cloud feedbacks},
year = 2012,
month = oct,
volume = 39,
eid = {L20807},
pages = {20807},
abstract = {{The influence of cloud modelling uncertainties on the projection of the
tropical low-cloud response to global warming is explored by perturbing
model parameters of the IPSL-CM5A climate model in a range of
configurations (realistic general circulation model, aqua-planet,
single-column model). While the positive sign and the mechanism of the
low-cloud response to climate warming predicted by the model are robust,
the amplitude of the response can vary considerably depending on the
model tuning parameters. Moreover, the strength of the low-cloud
response to climate change exhibits a strong correlation with the
strength of the low-cloud radiative effects simulated in the current
climate. We show that this correlation primarily results from a local
positive feedback (referred to as the {\ldquo}beta feedback{\rdquo})
between boundary-layer cloud radiative cooling, relative humidity and
low-cloud cover. Based on this correlation and observational
constraints, it is suggested that the strength of the tropical low-cloud
feedback predicted by the IPSL-CM5A model in climate projections might
be overestimated by about fifty percent.
}},
doi = {10.1029/2012GL053265},
adsurl = {http://adsabs.harvard.edu/abs/2012GeoRL..3920807B},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@article{2012JAMES...412001Z,
author = {{Zhang}, M. and {Bretherton}, C.~S. and {Blossey}, P.~N. and
{Bony}, S. and {Brient}, F. and {Golaz}, J.-C.},
title = {{The CGILS experimental design to investigate low cloud feedbacks in general circulation models by using single-column and large-eddy simulation models}},
journal = {Journal of Advances in Modeling Earth Systems},
keywords = {cloud feedbacks, Atmospheric Composition and Structure: Cloud/radiation interaction, Atmospheric Processes: Clouds and cloud feedbacks, Atmospheric Processes: Global climate models (1626, 4928)},
year = 2012,
month = apr,
volume = 4,
eid = {M12001},
pages = {12001},
abstract = {{A surrogate climate change is designed to investigate low cloud
feedbacks in the northeastern Pacific by using Single Column Models
(SCMs), Cloud Resolving Models (CRMs), and Large Eddy Simulation models
(LES), as part of the CGILS study (CFMIP-GASS Intercomparison of LES and
SCM models). The constructed large-scale forcing fields, including
subsidence and advective tendencies, and their perturbations in the
warmer climate are shown to compare well with conditions in General
Circulation Models (GCMs), but they are free from the impact of any GCM
parameterizations. The forcing fields in the control climate are also
shown to resemble the mean conditions in the ECMWF-Interim Reanalysis.
Applications of the forcing fields in SCMs are presented. It is shown
that the idealized design can offer considerable insight into the
mechanisms of cloud feedbacks in the models. Caveats and advantages of
the design are also discussed.
}},
doi = {10.1029/2012MS000182},
adsurl = {http://adsabs.harvard.edu/abs/2012JAMES...412001Z},
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

Click the above logo for
the operationnal center.
Today's LMDZ meteogram