Using Assimilation Techniques To Model Mars' Dust Cycle With The NASA Ames And NOAA/GFDL Mars General Circulation Models

Astronomy and Astrophysics – Astronomy

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Scientific paper

The dust cycle plays a critical role in Mars' current climate. However, modeling the dust cycle continues to prove challenging for Mars General Circulation Models (MGCMs). In this study, we utilize assimilation techniques to model the dust cycle in the NASA Ames and NOAA/GFDL MGCMs. Dust is injected from the surface when necessary to match TES-observed column dust opacities as a function of location and season. This scheme allows us to radiatively force the model with reasonable spatial and temporal dust fields while allowing the vertical profiles of dust concentration and particle size to be self-consistently determined by the conditions predicted by the MGCM. The goals of the work are to infer dust sources and sinks, to increase our understanding of how the vertical distribution of dust and dust particle sizes changes in time and space, and to put constraints on the development of more physically appropriate dust lifting parameterizations. We present simulated spatial and temporal patterns of dust, temperature, and winds, and show that the two MGCMs robustly suggest that cap edge lifting provides the source for the majority of the observed atmospheric dust loading.

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