Ensemble Kalman Filter Data Assimilation of TES Retrievals

Details Ensemble Kalman Filter Data Assimilation of TES Retrievals Ensemble Kalman Filter Data Assimilation of TES Retrievals

Oct 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010dps....42.4208h&link_type=abstract

American Astronomical Society, DPS meeting #42, #42.08; Bulletin of the American Astronomical Society, Vol. 42, p.1042

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Temperature profiles from the Mars Global Surveyor (MGS) Thermal Emission Spectrometer (TES) are assimilated into the GFDL Mars General Circulation Model (MGCM) using the local ensemble transform Kalman filter (LETKF) data assimilation scheme. The LETKF tuning for the Martian atmosphere and TES data will be discussed along with results evaluating the performance of the MGCM-LETKF assimilation. After tuning of the MGCM-LETKF system and using an ensemble of dust opacity of distributions in the MGCM, the assimilation of the TES profiles from the PDS is found to lead to improvements of approximately 3 degrees in the model temperature field over the free running model (in the absence of data assimilation). This study is a second step toward creating the MGCM-LETKF Martian Atmosphere Reanalysis, which will be incorporating temperature and dust observations from the MGS TES instrument and possibly the Mars Climate Sounder.

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