Improved Prediction of Optical Scale Turbulence- Progress and Future Directions

New grid adaptation approaches have been developed for the dynamic solution adaptation grid algorithm (DSAGA) to improve grid renement for optical turbulence prediction. The grid adaptation algorithm and a four-equation hybrid LES/RANS turbulence model developed earlier have been incorporated into the numerical weather prediction code MM5 (adaptive version) to provide a new approach for the calculation of C 2 n, a quantitative measure of atmospheric optical turbulence. By comparing with observation, the numerical results suggest that combination of the new grid adaptation scheme and the turbulence model is capable of improving C 2 prediction with dynamic grid renement in the stratosphere with little increase in computational eort.

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