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Assimilating EOS-Aura OMI and MLS Data in GEOS-5Data assimilation is a potentially powerful method of extracting the maximum amount of information from observed data by combining their information with models. in this application, we will use stratospheric ozone profiles retrieved from EOS MLS and total column amounts retrieved from OMI' along with the GEOS-5 GCM, that includes a representation of ozone chemistry and transport. The presentation will discuss how well we can derive tropospheric ozone column information in this system, including its sensitivity to model errors and some assumptions made in the assimilation system. We discuss also ozone structures in the tropopause region and their sensitivity to model resolution and other fact=ors. An important issue we examine is how much more information we obtain from ozone assimilation than from model studies using state of the art chemistry models - answering such questions helps determine how useful ozone assimilation really is, given our present capabilities in chemical modeling.
Document ID
20090042630
Acquisition Source
Goddard Space Flight Center
Document Type
Other
Authors
Pawson, Steven
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Xu, Philippe
(Science Applications International Corp. Beltsville, MD, United States)
Douglass, Anne R.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Olsen, Mark
(Maryland Univ. Baltimore, MD, United States)
Strahan, Susan
(Maryland Univ. Baltimore, MD, United States)
Nielsen, J. Eric
(Science Systems and Applications, Inc. Lanham, MD, United States)
McKee, Nicole
(Science Applications International Corp. Beltsville, MD, United States)
Sienkiewicz, Meta
(Science Applications International Corp. Beltsville, MD, United States)
Wargan, Krzysztof
(Science Applications International Corp. Beltsville, MD, United States)
Date Acquired
August 24, 2013
Publication Date
January 1, 2009
Subject Category
Meteorology And Climatology
Distribution Limits
Public
Copyright
Other

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