lmd_Li2015.bib
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@article{2015GMD.....8..129L,
author = {{Locatelli}, R. and {Bousquet}, P. and {Hourdin}, F. and {Saunois}, M. and
{Cozic}, A. and {Couvreux}, F. and {Grandpeix}, J.-Y. and {Lefebvre}, M.-P. and
{Rio}, C. and {Bergamaschi}, P. and {Chambers}, S.~D. and {Karstens}, U. and
{Kazan}, V. and {van der Laan}, S. and {Meijer}, H.~A.~J. and
{Moncrieff}, J. and {Ramonet}, M. and {Scheeren}, H.~A. and
{Schlosser}, C. and {Schmidt}, M. and {Vermeulen}, A. and {Williams}, A.~G.
},
title = {{Atmospheric transport and chemistry of trace gases in LMDz5B: evaluation and implications for inverse modelling}},
journal = {Geoscientific Model Development},
year = 2015,
month = feb,
volume = 8,
pages = {129-150},
abstract = {{Representation of atmospheric transport is a major source of error in
the estimation of greenhouse gas sources and sinks by inverse modelling.
Here we assess the impact on trace gas mole fractions of the new
physical parameterizations recently implemented in the atmospheric
global climate model LMDz to improve vertical diffusion, mesoscale
mixing by thermal plumes in the planetary boundary layer (PBL), and deep
convection in the troposphere. At the same time, the horizontal and
vertical resolution of the model used in the inverse system has been
increased. The aim of this paper is to evaluate the impact of these
developments on the representation of trace gas transport and chemistry,
and to anticipate the implications for inversions of greenhouse gas
emissions using such an updated model.
Comparison of a
one-dimensional version of LMDz with large eddy simulations shows that
the thermal scheme simulates shallow convective tracer transport in the
PBL over land very efficiently, and much better than previous versions
of the model. This result is confirmed in three-dimensional simulations,
by a much improved reproduction of the radon-222 diurnal cycle. However,
the enhanced dynamics of tracer concentrations induces a stronger
sensitivity of the new LMDz configuration to external meteorological
forcings. At larger scales, the inter-hemispheric exchange is slightly
slower when using the new version of the model, bringing them closer to
observations. The increase in the vertical resolution (from 19 to 39
layers) significantly improves the representation of
stratosphere/troposphere exchange. Furthermore, changes in atmospheric
thermodynamic variables, such as temperature, due to changes in the PBL
mixing modify chemical reaction rates, which perturb chemical
equilibriums of reactive trace gases.
One implication of
LMDz model developments for future inversions of greenhouse gas
emissions is the ability of the updated system to assimilate a larger
amount of high-frequency data sampled at high-variability stations.
Others implications are discussed at the end of the paper.
}},
doi = {10.5194/gmd-8-129-2015},
adsurl = {http://adsabs.harvard.edu/abs/2015GMD.....8..129L},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{2015JAtS...72.1022J,
author = {{Jiang}, J.~H. and {Su}, H. and {Zhai}, C. and {Janice Shen}, T. and
{Wu}, T. and {Zhang}, J. and {Cole}, J.~N.~S. and {von Salzen}, K. and
{Donner}, L.~J. and {Seman}, C. and {Del Genio}, A. and {Nazarenko}, L.~S. and
{Dufresne}, J.-L. and {Watanabe}, M. and {Morcrette}, C. and
{Koshiro}, T. and {Kawai}, H. and {Gettelman}, A. and {Mill{\'a}n}, L. and
{Read}, W.~G. and {Livesey}, N.~J. and {Kasai}, Y. and {Shiotani}, M.
},
title = {{Evaluating the Diurnal Cycle of Upper-Tropospheric Ice Clouds in Climate Models Using SMILES Observations}},
journal = {Journal of Atmospheric Sciences},
year = 2015,
month = mar,
volume = 72,
pages = {1022-1044},
doi = {10.1175/JAS-D-14-0124.1},
adsurl = {http://adsabs.harvard.edu/abs/2015JAtS...72.1022J},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{2015E&PSL.414..126P;,
author = {{Pang}, H. and {Hou}, S. and {Landais}, A. and {Masson-Delmotte}, V. and
{Prie}, F. and {Steen-Larsen}, H.~C. and {Risi}, C. and {Li}, Y. and
{Jouzel}, J. and {Wang}, Y. and {He}, J. and {Minster}, B. and
{Falourd}, S.},
title = {{Spatial distribution of $^{17}$O-excess in surface snow along a traverse from Zhongshan station to Dome A, East Antarctica}},
journal = {Earth and Planetary Science Letters},
keywords = {water isotopologues, $^{17}$O-excess, Dome A, ice sheet, Antarctica},
year = 2015,
month = mar,
volume = 414,
pages = {126-133},
abstract = {{The influence of temperature on the triple isotopic composition of
oxygen in water is still an open question and limits the interpretation
of water isotopic profiles in Antarctic ice cores. The main limitation
arises from the lack of $^{17}$O-excess measurements in surface
snow and especially for remote regions characterized by low temperature
and accumulation rate. In this study, we present new
$^{17}$O-excess measurements of surface snow along an East
Antarctic traverse, from the coastal Zhongshan station to the highest
point of the Antarctic ice sheet at Dome A. The $^{17}$O-excess
data significantly decrease inland, with a latitudinal gradient of -
1.33 {\plusmn} 0.41 per meg/degree, an altitudinal gradient of - 0.48
{\plusmn} 0.17 permeg / 100 m, and a temperature gradient of 0.35
{\plusmn} 0.11 permeg /{\deg}C. Theoretical calculations performed using a
Rayleigh model attribute this inland decrease to kinetic isotopic
fractionation occurring during condensation from vapor to ice under
supersaturation conditions at low temperatures. However, large
heterogeneity of $^{17}$O-excess in Antarctic precipitation cannot
only be explained by temperature at condensation and/or influences of
relative humidity in the moisture source region.
}},
doi = {10.1016/j.epsl.2015.01.014},
adsurl = {http://adsabs.harvard.edu/abs/2015E%26PSL.414..126P},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{2015JCli...28.1308B,
author = {{Berg}, A. and {Lintner}, B.~R. and {Findell}, K. and {Seneviratne}, S.~I. and
{van den Hurk}, B. and {Ducharne}, A. and {Chéruy}, F. and
{Hagemann}, S. and {Lawrence}, D.~M. and {Malyshev}, S. and
{Meier}, A. and {Gentine}, P.},
title = {{Interannual Coupling between Summertime Surface Temperature and Precipitation over Land: Processes and Implications for Climate Change*}},
journal = {Journal of Climate},
year = 2015,
month = feb,
volume = 28,
pages = {1308-1328},
doi = {10.1175/JCLI-D-14-00324.1},
adsurl = {http://adsabs.harvard.edu/abs/2015JCli...28.1308B},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
