Diagnostic Understanding of CWRF Performance over the Chesapeake Bay
The CWRF model is focused on climate prediction and weather forecasting, this study examines the accuracy of the CWRF when compared to observational data. The CWRF and observational data is examined on a monthly and daily bases, as well as on a seasonal and annual time scale. The data was examined spatially as well as temporally to not only examine the CWRF's accuracy across the Chesapeake Bay area but also to examine trends in time variance between the CWRF and the observational data. Precipitation showed the most variation and thus was examined further to examine the frequency distribution, the number of rainy days, the maximum consecutive dry days, and the 95th percentile. Temperature preformed better both spatially and temporally with large biases for temperature and precipitation occurring in the Northern edge of the study area, mountains and coastal areas. However, both precipitation and temperature were statistically significant.