In this presentation we will report on work within GSD to adapt and test the GSI for application within the RR framework. GSI is a versatile variational data assimilation scheme still under development at NCEP with contribution from other organizations, including NASA and ESRL GSD. At ESRL GSD, the main task is the inclusion and adaptation within GSI of RUC-specific analysis features needed for RR, in particular: cloud and hydrometeor analysis and PBL depth dependency for assimilation of surface temperature, dewpoint, and wind observations.
Consistent with the needs listed above, we will discuss issues and results related to:
- using data in the surface layer,
- analysis in the planetary boundary layer using adaptive anisotropic and non-homogeneous background error covariances,
- assimilation of satellite data and their impact on RR performance,
- running a real time experimental cycle over planned RR domain.
The presentation will conclude with analysis of present state of data assimilation for RR and tasks for the near future.