HR: 1340h
AN: A23C-1487    [Abstracts]
TI: Assessing Model Errors Through Chemical Data Assimilation
AU: * Tangborn, A
EM: Andrew.V.Tangborn@nasa.gov
AF: Global Modeling and Assimilation Office, Code 610.1, Goddard Space Flight Center, Greenbelt, MD 20771, United States
AU: Stajner, I
EM: Ivanka.Stajner@nasa.gov
AF: Global Modeling and Assimilation Office, Code 610.1, Goddard Space Flight Center, Greenbelt, MD 20771, United States
AU: Pawson, S
EM: Steven.Pawson@nasa.gov
AF: Global Modeling and Assimilation Office, Code 610.1, Goddard Space Flight Center, Greenbelt, MD 20771, United States
AU: Buchwitz, M
EM: Michael.Buchwitz@iup.physik.uni-bremen.de
AF: Institute of Environmental Physics (IUP), University of Bremen, FB1 Otto-Hahn-Allee 1 PO Box 33 04 40, Bremen, D-28334, Germany
AU: Khlystova, I
EM: Iryna.Khlystova@iup.physik.uni-bremen.de
AF: Institute of Environmental Physics (IUP), University of Bremen, FB1 Otto-Hahn-Allee 1 PO Box 33 04 40, Bremen, D-28334, Germany
AU: Burrows, J
EM: burrows@iup.physik.uni-bremen.de
AF: Institute of Environmental Physics (IUP), University of Bremen, FB1 Otto-Hahn-Allee 1 PO Box 33 04 40, Bremen, D-28334, Germany
AU: Hudman, R
EM: hudman@fas.harvard.edu
AF: Harvard University Division of Engineering and Applied Science, 29 Oxford St., Cambridge, MA 02138, United States
AB: Assimilation of satellite observations of chemical constituents results in corrections to forecasts of trace gas fields from a chemical transport model. When these corrections produce significant systematic changes to the field, it is important to determine whether this is the result of bias in either the model or the satellite retrievals. Independent data sets, particularly in situ observations, can often help to point out the source of the bias. We report here on the assimilation of carbon monoxide observations from SCIAMACHY and ozone from OMI and MLS using the the GMAO constituent assimilation system. The model uses analyzed winds from the GEOS-4 meteorological assimilation system and production/loss rates from GEOS-Chem. We focus on analyzed CO and tropospheric O₃ fields over the Arabian peninsula during the fall of 2004, when the analysis increments in both fields are consistently positive. Comparisons with MOZAIC in situ data are made in order to determine the source of the systematic difference between the model and observations.
DE: 0322 Constituent sources and sinks
DE: 0345 Pollution: urban and regional (0305, 0478, 4251)
DE: 0368 Troposphere: constituent transport and chemistry
DE: 3315 Data assimilation
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting