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

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

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

Equations of Motion

MODEL NUMERICAL-DOMAIN

PERFORMANCE IN AN SIMULATING CLIMATOLOGY (IRI) 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

Useable Skill (Palmer et al, 1999)

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

Global Atmospheric Model ================== Variable Resolution Nonhydrostatic Global Semi-implicit Semi-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

Variable Resolution Grid

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

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

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

Hydrostatic Non-Hydrostatic 2 km resolution

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 …