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Fredrick H. M. Semazzi North Carolina State University

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.

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Fredrick H. M. Semazzi North Carolina State University

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  1. 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

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

  3. 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. 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

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

  8. Useable Skill(Palmer et al, 1999)

  9. 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

  10. Global Atmospheric Model==================Variable ResolutionNonhydrostaticGlobalSemi-implicitSemi-Lagrangian

  11. 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

  12. Variable Resolution Grid

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

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

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

  16. Non-Hydrostatic Hydrostatic 2 km resolution

  17. 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 …

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