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An ensemble Kalman filter data assimilation system for the martian atmosphere: Implementation and simulation experiments |
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| Authors: | Matthew J. Hoffman Steven J. Greybush Gyorgyi Gyarmati Eugenia Kalnay Eric J. Kostelich Istvan Szunyogh |
| Affiliation: | a Earth and Planetary Sciences Department, Johns Hopkins University, 301 Olin Hall, 3400 N Charles St., Baltimore, MD 21218, United States b Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD 20742, United States c NOAA/Geophysical Fluid Dynamics Laboratory, P.O. Box 308, Princeton, NJ 08542, United States d Department of Atmospheric Sciences, Texas A&M University, 3150 TAMU, College Station, TX 77843-3150, United States e Atmospheric and Environmental Research, Inc., 131 Hartwell Avenue, Lexington, MA 02421, United States f Department of Atmospheric and Oceanic Science, Institute for Physical Sciences and Technology, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20742, United States g Department of Atmospheric and Oceanic Science, Center for Scientific Computation and Mathematical Modeling, Institute for Physical Sciences and Technology, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20742, United States h Department of Mathematics and Statistics, Arizona State University, Tempe, AZ 85287, United States |
| Abstract: | The local ensemble transform Kalman filter (LETKF) is applied to the GFDL Mars general circulation model (MGCM) to demonstrate the potential benefit of an advanced data assimilation method. In perfect model (aka identical twin) experiments, simulated observations are used to assess the performance of the LETKF-MGCM system and to determine the dependence of the assimilation on observational data coverage. Temperature retrievals are simulated at locations that mirror the spatial distribution of the Thermal Emission Spectrometer (TES) retrievals from the Mars Global Surveyor (MGS). The LETKF converges quickly and substantially reduces the analysis and subsequent forecast errors in both temperature and velocity fields, even though only temperature observations are assimilated. The LETKF is also found to accurately estimate the magnitude of forecast uncertainties, notably those associated with the phase and amplitude of baroclinic waves along the boundary of the polar ice cap during Northern Hemisphere winter. |
| Keywords: | Mars Mars, Atmosphere Atmospheres, Dynamics Meteorology |
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