Data Assimilation Meetings at Reading

Date Meeting type Speakers
15 January 2014 Invited speaker Steven Greybush (Penn State University)
Ensemble data assimilation on Mars. ( pdf )
The weather and predictability of the atmosphere of Mars are explored through a reanalysis of spacecraft observations using the GFDL Mars Global Climate Model (MGCM) and the Local Ensemble Transform Kalman Filter (LETKF). These observations include temperature and aerosol retrievals from the Thermal Emission Spectrometer (TES; nadir) and Mars Climate Sounder (MCS; limb) instruments, which enable twice daily planetary coverage. Several unique characteristics of the Mars atmosphere have bearing on the design of the data assimilation system, including a strong diurnal cycle, traveling weather systems, seasonal polar ice caps, dust and ice aerosol heating, and regional to global dust storms. We evaluate the sensitivity of analyses and traveling wave states to aerosol distribution, examine predictability and dynamical error growth mechanisms in the atmosphere, and discuss ways to use ensemble data assimilation to overcome limitations in the model and observations.

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