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# lmd_Laval2005.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:"Laval"  ' -c year=2005 -c \$type="ARTICLE" -oc lmd_Laval2005.txt -ob lmd_Laval2005.bib /home/WWW/LMD/public/Publis_LMDEMC3.link.bib}}

@article{2005JGRD..110.9103N,
author = {{Ngo-Duc}, T. and {Laval}, K. and {Polcher}, J. and {Cazenave}, A.
},
title = {{Contribution of continental water to sea level variations during the 1997-1998 El Ni{\~n}o-Southern Oscillation event: Comparison between Atmospheric Model Intercomparison Project simulations and TOPEX/Poseidon satellite data}},
journal = {Journal of Geophysical Research (Atmospheres)},
keywords = {Global Change: Water cycles (1836), Global Change: Climate dynamics (0429, 3309), Hydrology: Groundwater hydrology, Hydrology: Reservoirs (surface), Hydrology: Soil moisture, continental water, sea level variations, TOPEX/Poseidon},
year = 2005,
month = may,
volume = 110,
eid = {D09103},
pages = {9103},
abstract = {{Satellite altimetry from TOPEX/Poseidon (T/P) is used to estimate the
variation of the global sea level. This signal, once corrected for
steric effects, reflects water mass exchange with the atmosphere and
land reservoirs (mainly ice caps, soils and snowpack). It can thus be
used to test the capacity of general circulations models (GCMs) to
estimate change in land water storage. In this study, we compare the
land hydrology contribution to global mean sea level variations during
the major 1997-1998 El Ni{\~n}o-Southern Oscillation event from two
data sets: (1) the results of the Organizing Carbon and Hydrology In
Dynamic Ecosystems (ORCHIDEE) land surface scheme, developed at the
Institute Pierre Simon Laplace, coupled to the Laboratoire de
Météorologie Dynamique Atmospheric General Circulation
Model (LMD AGCM) and (2) the T/P-based estimates. We show that the
seasonal variation of the continental water storage is well represented
in the model. The drastic amplitude change between the two contrasted
years, 1997 and 1998, observed from satellite altimetry, is also
simulated. We analyze the role of each component of simulated water
fluxes (precipitation, evaporation, and runoff) in determining the range
of annual continental water mass variation and its interannual
variability. The difference between the two years, 1997 and 1998, is,
for an essential part, due to land precipitation in the
20{\deg}N-20{\deg}S domain. This analysis emphasizes the important role of
tropical regions in interannual variability of climate.
}},
doi = {10.1029/2004JD004940},
adsurl = {http://adsabs.harvard.edu/abs/2005JGRD..110.9103N},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@article{2005GeoRL..32.9704N,
author = {{Ngo-Duc}, T. and {Laval}, K. and {Polcher}, J. and {Lombard}, A. and
{Cazenave}, A.},
title = {{Effects of land water storage on global mean sea level over the past half century}},
journal = {\grl},
keywords = {Global Change: Climate dynamics (0429, 3309), Global Change: Sea level change (1222, 1225, 4556), Global Change: Water cycles (1836)},
year = 2005,
month = may,
volume = 32,
eid = {L09704},
pages = {9704},
abstract = {{The output of the ORCHIDEE Land Surface Model, driven by a 53-yr
(1948-2000) atmospheric forcing data set, was used to estimate the
effects of land water storage on global mean sea level. Over the past
half century, no significant trend was detected but there is a strong
decadal variability in the land water storage, driven by precipitation
and originating principally in the tropics. The land water contribution
to sea level change over the past 50 yr appears highly anti-correlated
with thermal expansion of the oceans. This result suggests that change
in ocean heat content influences the global water cycle. It also shows
that, at decadal time scale, there is partial compensation in sea level
changes between thermal expansion and ocean water mass change due to
changes in land water storage.
}},
doi = {10.1029/2005GL022719},
adsurl = {http://adsabs.harvard.edu/abs/2005GeoRL..32.9704N},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@article{2005JGRD..110.6116N,
author = {{Ngo-Duc}, T. and {Polcher}, J. and {Laval}, K.},
title = {{A 53-year forcing data set for land surface models}},
journal = {Journal of Geophysical Research (Atmospheres)},
keywords = {Atmospheric Composition and Structure: Biosphere/atmosphere interactions (0426, 1610), Global Change: Land/atmosphere interactions (1218, 1843, 3322), Global Change: Climate dynamics (0429, 3309), Hydrology: Streamflow, land surface model, forcing data set, Taylor diagram},
year = 2005,
month = mar,
volume = 110,
eid = {D06116},
pages = {6116},
abstract = {{As most variables describing the state of the surface are not directly
observable, we have to use land surface models in order to reconstruct
an estimate of their evolution. These large-scale land surface models
often require high-quality forcing data with a subdiurnal sampling.
Building these data sets is a major challenge but an essential step for
estimating the land surface water budget, which is a crucial part of
climate change prediction. To study the interannual variability of
surface conditions over the last half century, we have built a 53-year
forcing data set, named NCC. NCC has a 6-hourly time step from 1948 to
2000 and a spatial resolution of 1{\deg} {\times} 1{\deg}. It is based on
the National Centers for Environmental Prediction/National Center for
Atmospheric Research reanalysis project and a number of independent in
situ observations. In this study we show the adjustments which need to
be applied to the reanalysis and how they impact the simulated
continental water balance. The model outputs are validated with the
observed discharges of the world's 10 largest rivers to estimate the
combined errors of the forcing data and the land surface model. The
seasonal and interannual variations of these discharges are used for
this validation. Five numerical experiments have been carried out. They
used the forcing data sets obtained after each step of data adjustment
and the forcing of the Global Soil Wetness Project 2 as inputs for the
Organizing Carbon and Hydrology in Dynamic Ecosystems (ORCHIDEE) land
surface model. The quality of forcing data is improved after each
adjustment. The precipitation correction gives the most important
improvement in the simulated river discharges, while the temperature
correction has a significant effect only at high latitudes. The
radiation correction also improves the forcing quality, especially in
term of discharge amplitude. The NCC forcing data set can be used to
study the water budget over many areas and catchment basins that have
not been yet analyzed in this study. With its period of 53 years, NCC
can also be used to evaluate the trends of terrestrial water storage in
particular regions.
}},
doi = {10.1029/2004JD005434},
adsurl = {http://adsabs.harvard.edu/abs/2005JGRD..110.6116N},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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