Initial results from Ensemble Data Assimilation of radiances and retrieved temperatures from TES and MCS in an Martian GCM

Details Initial results from Ensemble Data Assimilation of radiances and retrieved temperatures from TES and MCS in an Martian GCM Initial results from Ensemble Data Assimilation of radiances and retrieved temperatures from TES and MCS in an Martian GCM

Dec 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010agufm.p53e1563l&link_type=abstract

American Geophysical Union, Fall Meeting 2010, abstract #P53E-1563

Computer Science

Sound

[5464] Planetary Sciences: Solid Surface Planets / Remote Sensing, [6005] Planetary Sciences: Comets And Small Bodies / Atmospheres, [6225] Planetary Sciences: Solar System Objects / Mars

Scientific paper

Direct observations of the Martian atmosphere are used to constrain the evolution of a Martian General Circulation Model (MarsWRF) using an ensemble Kalman filter data assimilation framework (DART). We use radiance observations from the Thermal Emission Spectrometer (TES) and temperature profiles from TES and the Mars Climate Sounder (MCS) to constrain the evolution of the simulated Martian atmosphere during similar seasons of each mission. We describe the observations being ingested into the model and the preprocessing necessary to ingest these observations efficiently and accurately into the assimilation system. We test the sensitivity of the assimilation system by including surface visual albedo and infra-red emissivity, and atmospheric total dust loading, in the state vector. We allow DART to modify these unobserved state vector components using only the temperature or radiance observations and information gained from the ensemble of simulated circulations. Finally, we identify and discuss the biases and model limitations revealed by the assimilation, and describe the modifications made to the GCM to improve its ensemble mean skill (accuracy) and ensemble variance to better assimilate the available observations.

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