This seminar will focus on the synergies between models and data and how these synergies are improving researchers' ability to forecast changes in the state of the environment and component resources provided by Earth system processes. As models become more sophisticated and incorporate detailed system processes at numerous spatial and temporal scales, the environmental measurements that support model operation and validation must keep pace with model development. John will present examples of model-data linkages related to climate and meteorology, human health and environmental risk management, aquatic ecosystems, water quality and availability, and environmental restoration. This talk will highlight how advances in geospatial data and analysis, dedicated environmental measurement programs, and data collection technology ' coupled to the appropriate modeling tools ' are enhancing opportunities to improve forecasts of changes in environmental conditions resulting from human and natural perturbations. Refreshments will be served.