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Presentation on the latest research areas at the Climate Modeling Laboratory, focusing on high-resolution nested regional and global atmospheric prediction models. Comparison of model performances and optimization strategies for regional numerical models. Future work includes efficiency improvements and physical parameterizations. For details, visit climlab4.meas.ncsu.edu.
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Emerging Research Opportunities at the Climate Modeling LaboratoryNC State University(Presentation at NIA Meeting: 9/04/03) Fredrick H. M. Semazzi North Carolina State University Department of Marine, Earth and Atmospheric Sciences & Department of Mathematics
Emerging Research Opportunities at the Climate Modeling LaboratoryNC State University For Details http://climlab4.meas.ncsu.edu
MAIN AREAS OF EMERGING RESEARCH OPPORTUNITIES • High Resolution Nested Regional Climate Prediction Models • High Resolution Global Atmospheric Prediction Models
OND ACTUAL RAINFALL (MM/DAY) 1970-95 AVERAGE PERFORMANCE IN AN SIMULATING CLIMATOLOGY (IRI) 1970-1995 AVERAGE • Observations • ENCHAM GCM • RCM-Low Resolution Model • RCM-High Resolution Model Comparison of models performance
Optimization of Regional Numerical Models Based on Useable Prediction Skill
USER SECTOR CLIMATE OBSERVATIONS PREDICTION MODEL Define (E) Identity C & L Observe E Compute Set Parameters Forecast E Region 1 observed Fst No Yes No Yes Parameter update and optimization Region 2 Region 9 ROC Climatology Prediction Model H Perfect Prediction Model F See fig.3 Fig.2: Algorithm for computation of forecast value (V) & optimization
Global Atmospheric Model==================Variable ResolutionNonhydrostaticGlobalSemi-implicitSemi-Lagrangian
Global Variable Resolution Grid • No lateral boundary conditions • Multiple scales • Single code for multiple problems • Flexible (easy to customize for different regions) • Simplifies maintenance and optimization with only one code
Nonhydrostatic Dymanics • Increasing resolutions of atmospheric models • Little additional computational cost • Some atmospheric phenomena are nonhydrostatic (e.g. tropical cyclones)
Day 2 - 500 hPa Bates NASA GODDARD GCM Bates et al (1993) NC STATE UNIVERSITY GCM Semazzi et al (2003)
Hydrostatic Non-Hydrostatic 400 m resolution-courant#=3
Non-Hydrostatic Hydrostatic 2 km resolution
Future Work • Optimization of Regional Numerical Models Based on Useable Prediction Skill • Efficiency improvements to semi-implicit semi-Lagrangian (SISL) numerical scheme: solver, interpolation • Physical parameterization: heating, friction, convection, moisture, etc. • Parallel version in collaboration with NASA and other organizations …