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.
Mesoscale
Prediction Group's Data Assimilation subgroup
NCAR Strategic Initiative: Data
Assimilation Initiative
3DVAR/4DVAR
website
Regional
Space-Based Lidar OSSE: NCAR/MMM's Verification
Synoptically-Dependent
Background Error Structures (SBESs)
Error
Breeding
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)
Dale
Barker
Andrew Crook
Yong-Run
Guo
Wei Huang
Bill Kuo
Syed Rizvi
Chris Snyder
Jenny Sun
Qingnong
Xiao
Research Highlights