We use the Regional Atmospheric Modeling System (RAMS) to simulate several cases where terrain along PWS and CI plays a significant role in determining local coastal wind conditions. These cases were chosen because there is high resolution synthetic aperature radar (SAR) imagery of the surface wind field against which to verify the model. To capture the complex nature of terrain-weather interactions adequately, it is necessary to use a model with high spatial resolution. In this study, a double or triple nested-grid approach is used, with grid spacings of Dx,y=64 km, 16 km and 4 km and optionally 1 km for the parent grid and its 2 or 3 nested grids. This allows the model to simulate both the synoptic-scale weather at the scale of hundreds of kilometers and localized terrain influences that occur on a scale of just a few km.
Not surprisingly, the grid-spacing was found critically important to resolving ageostrophic, down-gradient flows in narrow channeled regions. This results in large part from the fact that at least 4 grid points in the horizontal are needed to adequately resolve a channel in the terrain. Runs without the adequate terrain resolution typically failed to produce mesoscale,terrain-influenced flow with a significant deviation from the large-scale circulation. This was more apparent in PWS, with it's complex system of fjords and bays, than in Cook Inlet where the channeling is simpler and of larger scale.
From a forecast perspective, these results have several implications. For short-term mesoscale marine weather forecasts, the better resolution of localized winds is clearly worth the extra computational expense required for the 4-km grid. While the configuration of the 1-km grid is not currently feasible to run as an operational forecast model, it clearly is required to adequately resolve some localized low-level jets, and the next generation of computers will make this kind of prediction possible on an operational basis.
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