Abstract

Developing Sub-Domain Verification Methods using GIS Tools
Track: Atmosphere, Climate, and Weather
Authors: Theresa Foley, John Raby, Jeffrey Smith, Brian Reen

GIS enables us to consider spatial variables as explanatory metrics for assessing the performance of the Weather Research and Forecasting model (WRF-ARW). GIS techniques such as Empirical Bayesian Kriging permit discovery of spatial and temporal scales where models do not sufficiently resolve the desired phenomena such as mountain and lee waves. Our one-kilometer domain is near San Diego, California. We have found that terrain variables such as elevation have a significant affect on model bias.