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The '''
▲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) model such as [[Weather Research and Forecasting model]] (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.
All of these effects are computed at each [[time
==References==
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