Mesoscale Data Assimilation research seeks to advance the science and technology of mesoscale weather prediction. Toward this end, they develop advanced mesoscale weather prediction models (i.e., MM5 and WRF) and mesoscale data assimilation techniques (i.e., 3DVAR/4DVAR). Using these tools, they contribute to the science of weather prediction through the study of important mesoscale weather prediction problems (i.e., mesoscale convective systems, cyclones, hurricanes). Mesoscale Data Assimilation researchers at MMM produce real-time mesoscale weather prediction systems for operational forecast applications and provide community support for the use of advanced weather models and data assimilation systems.
Prediction Group's Data Assimilation subgroup
NCAR Strategic Initiative: Data Assimilation Initiative
Regional Space-Based Lidar OSSE: NCAR/MMM's Verification
Synoptically-Dependent Background Error Structures (SBESs)
Experiments of a Typhoon Bogussing Scheme in the MM5 3D-var Cycling System (PDF paper)
Assimilation of Doppler Radar Observations with a Regional 3D-var System: A Heavy Rainfall Case Study (PDF paper)