lmd_EMC31981.bib
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@article{1981GApFD..17..129L,
author = {{Laval}, K. and {Sadourny}, R. and {Serafini}, Y.},
title = {{Land surface processes in a simplified general circulation model}},
journal = {Geophysical and Astrophysical Fluid Dynamics},
year = 1981,
volume = 17,
pages = {129-150},
abstract = {{The land surface processes as parameterized for the current version of
the L.M.D. General Circulation Model are described. The model predicts
ground temperature for bare soil, ice and snow; the treatment of ground
hydrology involves a prediction of soil moisture and snow depth. The
parameterization is tested on a 90-day integration using a sectorial
model with artificial modelling of continents and orography; sea surface
temperature, surface albedo and ice cover are given assigned values
based on climatological data for January. The resulting distributions of
hydrological and thermodynamic variables at the Earth's surface are
discussed.
}},
doi = {10.1080/03091928108243677},
adsurl = {http://adsabs.harvard.edu/abs/1981GApFD..17..129L},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{1981GApFD..17..113L,
author = {{Laval}, K. and {Le Treut}, H. and {Sadourny}, R.},
title = {{Effect of cumulus parameterization on the dynamics of a general circulation model}},
journal = {Geophysical and Astrophysical Fluid Dynamics},
year = 1981,
volume = 17,
pages = {113-127},
abstract = {{The purpose of this study is to test a modification of the
parameterization of convection in a general circulation model. The
analysis is done with a sectorial model. Its resolution is 11 levels and
16{\middot}25 grid points. In version A of the model, we use a moist
convective adjustment (M.C.A.) wherever the air is conditionally
unstable and saturated; in version B, we add a convective scheme to
M.C.A. in the case of conditionally unstable but not saturated air. This
last scheme is based on the parameterization of Kuo (1965). We compare
zonal means and energy cycles of the two versions; improvements in
version B seem substantial, essentially in latitude-height distribution
of energy variables.
}},
doi = {10.1080/03091928108243676},
adsurl = {http://adsabs.harvard.edu/abs/1981GApFD..17..113L},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}