For many reasons, chinooks are not easy to simulate with numerical models. These reasons included the scales of forcing involved, the high local gradients that characterize them and the differences in size and shape of actual versus model-estimated topography. Experience suggests that accurate forecasts of chinooks rest heavily on the experience and intuition of forecasters, and on diagnostic techniques that employ observations.
Our presentation will explore whether improvements in operational forecasts of chinooks in Alaska can be gained by increasing the resolution of a numerical prediction system, optimizing its configuration, modifying the lower boundary condition, or through other practical means. In the process we will explore the physical details of several cases of Alaskan chinooks.
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