I have an interest in working with biophysical heat budget models that can predict organismal temperatures based on different environmental factors. In order for these models to work one must obtain weather data such as wind speed, air temperature, water temperature, solar radiation and etcetera from an outside source. Local weather stations are ideal for obtaining weather data due to the accuracy of the data. However, weather stations are not located everywhere, therefore another source for obtaining weather data is needed. Climate Forecast System Reanalysis (CFSR) provides spatially coarse weather data that is available worldwide. Although weather data from CFSR is less accurate than the data provided by weather stations, CFSR provides weather data for sites all over the world therefore allowing one to use a heat budget model for any site they may need.
For my research I am interested in determining the accuracy of a biophysical heat budget model in predicting the temperatures of aerially exposed mussels (Mytilus californianus) using CFSR (coarse) weather data rather than local weather station (more accurate) data. I will examine the accuracy for a variety of sites located on the west coast of the United States. My findings will be presented to the Bureau of Ocean Energy Management (BOEM) to inform their policy decisions on the emplacement of wave energy farms.