29 juin-1 juil. 2022 Lyon (France)
Simulating long term climate variation with a planetary evolution model
Romain Vandemeulebrouck  1@  , Forget Francois  2@  , Ehouarn Millour  3@  , Lange Lucas@
1 : Laboratoire de Météorologie Dynamique (UMR 8539)
Institut National des Sciences de l'Univers, Ecole Polytechnique, Ecole des Ponts ParisTech, Sorbonne Université, Centre National de la Recherche Scientifique : UMR8539, Département des Géosciences - ENS Paris
2 : Laboratoire de Météorologie Dynamique  (LMD)  -  Site web
École normale supérieure [ENS] - Paris, Polytechnique - X, Université Pierre et Marie Curie (UPMC) - Paris VI, INSU, CNRS : UMR8539
LMD, UPMC - Campus de Jussieu, 4 place Jussieu, 75252 PARIS -  France
3 : Laboratoire de Météorologie Dynamique (LMD)
IPSL CNRS Sorbonne Université

To accurately simulate the climate and the fate of volatiles for thousands to millions of years we
must couple physical processes with very different timescale, ranging from clouds microphysics
and atmospheric dynamics (represented in the GCM) to the evolution of lakes, glacier
accumulation, and subsurface ice evolution.
Given the diversity and the complexity of the Martian paleoclimates, we choose to use use
an ambitious “asynchronous coupling” between the slow ice and water reservoirs models and the
GCM.
In practice our innovative Mars evolution model will use a horizontal grid identical to that of the
GCM, and include the same representation of the micro-climate on slopes. In our case, we will run
the Mars Evolution Model with a timestep of 50 to ~500 years, depending upon the dynamics of
the modeled system (smaller timesteps must first be used so that the different volatile reservoirs
reach a quasi-equilibrium, then the timestep will depends on the evolution of the forcing, which is
slow in the case of obliquity, for instance) . At each timestep, the inputs from the atmosphere (e.g.
mean precipitation, sublimation and evaporation, temperatures, dust deposition) will be obtained
through a multi-annual run of the Global Climate model using the outcome of the Mars
Evolution Model as initial state.
First results about evolution of water ice and CO2 ice glacier will be presented.


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