Computer Science – Sound
Scientific paper
Dec 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010agufm.p51e..07g&link_type=abstract
American Geophysical Union, Fall Meeting 2010, abstract #P51E-07
Computer Science
Sound
[0343] Atmospheric Composition And Structure / Planetary Atmospheres, [3315] Atmospheric Processes / Data Assimilation, [5445] Planetary Sciences: Solid Surface Planets / Meteorology, [6225] Planetary Sciences: Solar System Objects / Mars
Scientific paper
Mars Climate Sounder (MCS) temperature profiles are assimilated into the GFDL Mars Global Circulation Model (MGCM) using the Local Ensemble Transform Kalman Filter (LETKF) to accurately depict the state of the Martian atmosphere. The enhanced vertical resolution and domain of the MCS retrievals expands data coverage to more than 80 km in altitude. Performance is evaluated using short term forecasts compared to independent observations, and the MCS analyses are compared to those generated by the assimilation of Thermal Emission Spectrometer (TES) profiles during a similar Martian season. Initial biases between the MCS and MGCM have led to further model development. In particular, the addition of topographic gravity wave drag parameterization and radiatively active water ice clouds have done much to alleviate a cold bias in many GCM simulations at heighs above 30 Pa at tropical and winter polar latitudes.
Eluszkiewicz Janusz
Greybush Steven J.
Hoffman Matthew J.
Hoffman Ross N.
Ide Kayo
No associations
LandOfFree
Insights from Assimilation of Mars Climate Sounder Retrievals into a Mars Global Circulation Model does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Insights from Assimilation of Mars Climate Sounder Retrievals into a Mars Global Circulation Model, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Insights from Assimilation of Mars Climate Sounder Retrievals into a Mars Global Circulation Model will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1498677