1. Emerging Research Opportunities at the Climate Modeling Laboratory NC 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

2. For Details http://climlab4.meas.ncsu.edu
Emerging Research Opportunities at the Climate Modeling Laboratory NC State University
For Details

3. RESEARCH OPPORTUNITIES
MAIN AREAS OF EMERGING
RESEARCH OPPORTUNITIES
High Resolution Nested Regional Climate Prediction Models
High Resolution Global Atmospheric Prediction Models

4. Equations of Motion

5. MODEL NUMERICAL-DOMAIN

6. PERFORMANCE IN AN SIMULATING CLIMATOLOGY (IRI)
OND ACTUAL RAINFALL (MM/DAY)
AVERAGE
PERFORMANCE IN AN SIMULATING CLIMATOLOGY (IRI)
AVERAGE
Observations
ENCHAM GCM
RCM-Low Resolution Model
RCM-High Resolution Model
Comparison of models performance

8. Optimization of Regional Numerical Models Based on Useable Prediction Skill

9. Useable Skill (Palmer et al, 1999)

10. Fig.2: Algorithm for computation of forecast value (V) & optimization
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
Perfect Prediction
Model H
Climatology
Prediction Model F
See fig.3
Fig.2: Algorithm for computation of forecast value (V) & optimization

11. Global Atmospheric Model ================== Variable Resolution Nonhydrostatic Global Semi-implicit Semi-Lagrangian

12. 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

14. Variable Resolution Grid

15. Nonhydrostatic Dymanics
Increasing resolutions of atmospheric models
Little additional computational cost
Some atmospheric phenomena are nonhydrostatic (e.g. tropical cyclones)

16. Bates NASA GODDARD GCM Day 2 - 500 hPa NC STATE UNIVERSITY GCM
Bates et al (1993)
NC STATE UNIVERSITY
GCM
Semazzi et al (2003)

17. 400 m resolution-courant#=3
Hydrostatic
Non-Hydrostatic
400 m resolution-courant#=3

18. Hydrostatic Non-Hydrostatic
2 km resolution

19. Future Work in collaboration with NASA and other organizations …
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 …