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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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slide1

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 laboratory nc state university

Emerging Research Opportunities at the Climate Modeling LaboratoryNC State University

For Details http://climlab4.meas.ncsu.edu

slide3

MAIN AREAS OF EMERGING

RESEARCH OPPORTUNITIES

  • High Resolution Nested Regional Climate Prediction Models
  • High Resolution Global Atmospheric Prediction Models
slide6

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

slide10

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 resolution nonhydrostatic global semi implicit semi lagrangian
Global Atmospheric Model==================Variable ResolutionNonhydrostaticGlobalSemi-implicitSemi-Lagrangian
global variable resolution grid
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
Nonhydrostatic Dymanics
  • Increasing resolutions of atmospheric models
  • Little additional computational cost
  • Some atmospheric phenomena are nonhydrostatic (e.g. tropical cyclones)
bates

Day 2 - 500 hPa

Bates

NASA GODDARD

GCM

Bates et al (1993)

NC STATE UNIVERSITY

GCM

Semazzi et al (2003)

slide17

Hydrostatic

Non-Hydrostatic

400 m resolution-courant#=3

future work
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 …