Physical parameterizations in the WRF Model
Physical parameterizations in the WRF Model
Physical parameterizations in the WRF Model
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Clos<strong>in</strong>g statements<br />
No category of parameterization has a “best”<br />
scheme<br />
Parameterizations are a blend of physical<br />
reason<strong>in</strong>g, empiricism, and pragmatism<br />
Parameterizations are <strong>the</strong> ma<strong>in</strong> way that models<br />
are tuned<br />
– Parameterizations are far more modular than o<strong>the</strong>r<br />
components of models<br />
Some of <strong>the</strong> biggest future improvements <strong>in</strong> <strong>the</strong><br />
<strong>WRF</strong> <strong>Model</strong> will be <strong>in</strong> <strong>parameterizations</strong><br />
Jason Knievel ATEC Forecasters’ Conference, July 2007 and February 2008 40