High resolution modeling requires more focused spatial and temporal verification over parts of the domain. With a Geographical Information System (GIS), researchers can now consider terrain type/slope and land use effects and other spatial and temporal variables as explanatory metrics in model assessments. GIS techniques, when coupled with high resolution point and gridded observation sets, allow location-based approaches that permit discovery of spatial and temporal scales where models do not sufficiently resolve the desired phenomena.
In this paper we present a case study employing GIS tools and statistical techniques to verify a 9/3/1 km triple nested configuration of WRF-ARW whose innermost fine scale domain was centered over Southern California. Southern California contains a mixture of urban, sub-urban, agricultural and mountainous terrain types along with a rich array of observational data with which to illustrate our ability to conduct sub-domain verification.