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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

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