Time-varying microscale model: Difference between revisions

Revision as of 15:04, 7 May 2010

Revision as of 10:43, 22 July 2010

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{{Wikify|date=April 2010}}

The ''' Time-Varying Microscale (TVM) model ''' is a [[microscale]] [[diagnostic model]] specifically designed to compute data for extremely high-resolution mapping (tens of meters to a few hundred meters) without the high computational costs of running a [[mesoscale]] [[Numerical Weather Prediction|NWP]] (NWP) model such as [[Weather Research and Forecasting model|WRF]] (WRF).

TVM uses high-resolution [[land surface]] data to calculate the effects of microscale terrain features, near-surface roughness features, and other terrain blocking effects typically left unresolved by coarser mesoscale NWP models. Microscale terrain features are resolved using a [[Kinematics|kinematic]] terrain adjustment, near-surface roughness features are resolved using a log-profile surface roughness adjustment, and a [[Froude number]] adjustment is applied to calculate terrain-blocking effects on wind flow.

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==References==

<references/>

{{Uncategorized|date=April 2010}}

[[Category:Weather prediction]]