HR: 0800h
AN: A31B-08    [Abstracts]
TI: Online Bias Correction of ARGO Temperature and Salinity Data in the GMAO Ocean Ensemble Kalman Filter
AU: * Keppenne, C L
EM: clk@gmao.gsfc.nasa.gov
AF: SAIC, 10260 Campus Point Drive, San Diego, CA 92121, United States
AU: * Keppenne, C L
EM: clk@gmao.gsfc.nasa.gov
AF: NASA Global Modeling and Assimilation Office, Mail Code 610.1 NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
AU: Rienecker, M M
EM: rienecker@gmao.gsfc..nasa.gov
AF: NASA Global Modeling and Assimilation Office, Mail Code 610.1 NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
AU: Kovach, R
EM: kovach@gmao.gsfc..nasa.gov
AF: SAIC, 10260 Campus Point Drive, San Diego, CA 92121, United States
AU: Kovach, R
EM: kovach@gmao.gsfc..nasa.gov
AF: NASA Global Modeling and Assimilation Office, Mail Code 610.1 NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
AB: Past experiments with the online bias correction (OBC) algorithm used in the GMAO ocean ensemble Kalman fiter (EnKF) have demonstrated the importance of applying OBC when sea surface height (SSH) anomalies are assimilated. In this case, OBC is necessary to update the SSH climatology used to reconstruct the SSH field. While correcting the model climatology by means of OBC is less important when in situ temperature, salinity or current data are assimilated because these data are not ingested in their anomalous form, analyses reveal that the corresponding model fields are systematically biased, even though a standard (i.e., without OBC) assimilation can partially compensate the biases. While we were always interested in assessing the usefulness of OBC in the assimilation of temperature or salinity data, we were prevented in doing so until recently because the OBC algorithm is ineffective with sparse observations. The near exponential increase in the number of assimilate-able ARGO measurements has recently changed that reality. Hence, we examine how applying OBC in the assimilation of ARGO temperature and salinity data affects the quality of the analysis products.
DE: 3225 Numerical approximations and analysis (4260)
DE: 3315 Data assimilation
DE: 4260 Ocean data assimilation and reanalysis (3225)
DE: 4522 ENSO (4922)
DE: 4532 General circulation (1218, 1222)
SC: Atmospheric Sciences [A]
MN: 2007 Joint Assembly