Ecological Forecasting, predicting the effects of changes in the physical, chemical, and biological environments on ecosystem state and activity, is an emerging field with significant socio-economic implications. Though the concepts behind and expectations for ecological forecasting are clear, progress towards producing consistent, reliable, and objective forecasts has been slow. Lack of infrastructure for integrating a variety of modeling tools, information technologies, and ground and satellite data sets that could serve the diverse needs of eco-hydrological community has been one key impediment. Here, we describe our efforts at such an integrated system called the Terrestrial Observation and Prediction System (TOPS). TOPS is a data and modeling software system designed to seamlessly integrate data from satellite, aircraft, and ground sensors with weather/climate and application models to expeditiously produce operational nowcasts and forecasts of ecological conditions. TOPS has been operating at a variety of spatial scales, ranging from individual vineyard blocks in California, and predicting weekly irrigation requirements, to global scale producing regular monthly assessments of global vegetation net primary production.