Anderson’s research focuses on the interactions between the hydrosphere, cryosphere, and atmosphere, wherein he uses numerical modeling to study Earth’s largest lakes and rivers, extreme storms (meteotsunamis), coastal flooding, lake-effect precipitation, and the impacts on the ecosystem.
Throughout his career as a forecaster at the National Weather Service (NWS) Detroit office, Trenton Frey cites public participation as one of the most important factors influencing forecasters’ ability to detect severe weather conditions. Although meteorologists have a wide array of tools available to predict and analyze weather patterns – radar and satellite imagery, weather model data, and ground-based observations from Automated Surface Observing System (ASOS) equipment at airports – there is still a limit to what experts can know without people on the ground sending them ongoing observations.