Research at the intersection of climate/weather and health is a rapidly growing space spanning many disciplines. While interdisciplinary research bridges expertise and allows for creative methodologies to be applied to unique problems, it can be difficult to appropriately combine data from disparate fields. The goal of this session is to build community capacity in this interdisciplinary space by exploring how to most effectively use environmental data sources in public health and epidemiological applications. Potential topics for this session include examinations and comparisons of data sets for use cases, downscaling techniques, bias correction methods, merging spatial scales of environmental and health data, operationalizing existing data sources for health applications, and any other topic broadly centered on best practices for employing environmental data in the health sphere. We invite researchers and practitioners from all relevant perspectives to join this session, including climate science, environmental health, public health, meteorology, epidemiology, veterinary science, and any other discipline motivated to explore this boundary. This session is co-presented by AMS and the American Geophysical Union (AGU).