Evaluation of High-Resolution Modeling and Statistical Forecast Techniques Over Complex Terrain.

摘要

Local topographic effects and spatial land-surface variability present unique challenges for weather forecasting in areas of complex terrain. The primary goal of this research is to improve the accuracy of weather forecasts over the fine-scale topography of the Intermountain West using statistical and numerical modeling techniques. Specifically, we seek to determine where, when and why decreasing the horizontal grid spacing of numerical models improves forecast accuracy and to evaluate the added benefits of using statistical techniques to correct for systematic numerical model deficiencies.