Cloud And Precipitation Predictions On Titan With The Ipsl-gcm

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The Titan IPSL-GCM is a coupled 2D global climate model (GCM). It includes several physical processes such as clouds and haze microphysics and also interactions between atmosphere and surface. This model has already been used to explain some features of the haze and clouds layers. With Cassini and Huygens observations, we could improve assumptions and boundary conditions to obtain better validation of our model. The model is implemented in several ways. First we are revising the microphysical (haze and cloud) model to simplify the description of the size distribution (description with bins and moments) in order to include it in a 3D model. We also modified the cloud model in order to account for more gaseous species (now methane, ethane and acetylene), to test the structure of the aerosols, and additional physical processes such aerosols-cloud coalescence which were neglected previously. The model can be used to predict, for instance, the haze and chemical species cycles in the atmosphere and the precipitation rates.
In this work, we investigated the sensitivity of the results against parameters of the model and new processes added recently in the model. We mainly focus on the precipitation rates, the cloud and haze layers.
In our presentation, we will give a description of our results such as the main pattern of the precipitations rates on Titan that comes out from our models, and we will discuss the sensitivity with various parameters. For instance, the models all give strong rains in the polar regions, but only some setup of the model allow to produce rains around 40° latitude. Other important differences will be stressed, concerning rains, clouds and haze structures.

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