HR: 1340h
AN: A33D-0100    [Abstracts]
TI: Assimilation and Validation of Radiances From the Solar Backscatter UltraViolet (SBUV)/2 Instrument
AU: * Mueller, M D
EM: mueller@gmao.gsfc.nasa.gov
AF: NASA Goddard Space Flight Center, Code 916, Greenbelt, MD 20771
AU: Bhartia, P K
EM: bhartia@code916.gsfc.nasa.gov
AF: NASA Goddard Space Flight Center, Code 916, Greenbelt, MD 20771
AU: Stajner, I S
EM: ivanka@gmao.gsfc.nasa.gov
AF: NASA Goddard Space Flight Center, Code 900.3, Greenbelt, MD 20771
AB: In operational weather forecasting, the assimilation of brightness temperatures from satellite sounders, instead of assimilation of 1D-retrievals has become increasingly common practice over the last two decades. Assimilation of trace gases is still at a relatively early stage of development, and efforts to directly assimilate radiances instead of retrieved products have just begun a few years ago, partially because it requires much more computation power due to the employment of a radiative transfer forward model. This paper will focus on a method to assimilate SBUV/2 Version~8 radiances (albedos) in order to constrain the global ozone field. Assimilation of retrieved ozone was shown to contribute to monitoring of ozone data from TOMS and SBUV. The radiance assimilation approach provides a more direct access to the measurements and potentially a more direct way of their validation. Furthermore, assimilation can help in understanding the impact of collocation distance on sonde comparisons. The ozone system that was developed at the Global Modeling and Assimilation Office (GMAO) of NASA/Goddard has been successfully used to assimilate ozone data from several satellite instruments: TOMS, SBUV~V6, MIPAS and POAM. We use a recent version of this system, which includes parameterized chemistry in stratosphere and troposphere, and transport within the general circulation model (GCM) that is constrained by GMAO's meteorological analyses. The statistical analysis is implemented using the Physical-space Statistical Analysis Scheme (PSAS). The talk will also discuss methods to deal with the increased computational load of radiance assimilation, and try to assess the error characteristics and future potential of the new approach.
UR: http://gmao.gsfc.nasa.gov/research/ozone/ozone\_assim.php
DE: 3337 Numerical modeling and data assimilation
DE: 3359 Radiative processes
DE: 3360 Remote sensing
DE: 0300 ATMOSPHERIC COMPOSITION AND STRUCTURE
DE: 0394 Instruments and techniques
SC: Atmospheric Sciences [A]
MN: 2004 AGU Fall Meeting