jet_fly.gif (1530 bytes) Advanced Operational Aviation Weather System (AOAWS) in Taiwan ncar_btn.gif (845 bytes)   caa_logo.gif (1417 bytes)    iii_logo2.jpg (9052 bytes)   

 

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Weather Forecast Model Component

The AOAWS will feature a numerical weather prediction capability provided for by the Pennsylvania State University/NCAR Mesoscale Model 5 (MM5). The MM5 will generate regional weather forecasts for the CAA and these will be available at both CAA and CWB.  The MM5 is a mesoscale prediction model with a history of both real-time forecasting and research applications. In the Taiwan and east Asia region, it has been used for real-time operations in Taiwan and Hong Kong. Research studies employing the MM5 have addressed key phenomena of the region such as typhoons, Mei-Yu fronts, mesoscale convective systems, and flows over complex topography.

For the AOAWS, the MM5 will provide regularly-updated forecasts on a range of temporal and spatial scales. It will allow forecasters to see the large-scale changes over East Asia and the Western Pacific over 2-day periods, while providing detailed information on conditions over the Taiwan FIR at half-hourly resolution.

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Taiwan FIR domain (1,2,3) region.

The Model

The MM5 is the central component of a modeling system which acquires observations and gridded analyses, processes the data for model ingest, generates a numerical forecast and displays the forecast output. The MM5 is a grid-point  model capable of variable horizontal and vertical resolution and has been used with horizontal grid sizes under 200 m. The MM5 employs a terrain-following sigma vertical coordinate, with vertical resolution typically ranging from 20 to 40 m near the surface and decreasing with height. A nested-grid model, the MM5 permits 10 levels of sub-domains, as well as moving and overlapping grids. In nested configurations, domain interaction can be either 2-way or 1-way. In the former, predicted fine grid information is overwritten on the coarse grid, while boundary conditions are provided by the coarse grid to the fine grid. In the latter, boundary conditions are provided by the coarse grid to fine grid, but the fine grid product does not get overwritten on the coarse grid; the grids run separately. With respect to computation, the MM5 is multi-tasked. Its parallelism was originally based on a shared memory paradigm, although work has begun on its adaptation to distributed-memory architectures.

The MM5 is based upon the set of primitive equations for a fully compressible, nonhydrostatic atmosphere in a rotating frame of reference. The model's predicted variables include pressure perturbation, horizontal and vertical wind, temperature, water vapor, cloud water and rainwater. The model's prognostic equations are written in flux form.

The MM5 simulates grid-resolved and sub-grid-scale precipitation. The former involves the explicit treatment of moist processes, for which the model offers a variety of packages. These feature prognostic equations for variables such as cloud water, cloud ice, rain water and snow. For subgrid-scale moist processes, the MM5 currently offers six cumulus parameterizations. These include the popular Grell, Kain-Fritsch, and Betts-Miller parameterizations.

 

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