Decision-support Experiments and Evaluations Using Seasonal-to-interannual Forecasts and Observational Data: a Focus on Water Resources (Sap 5.3)

Publisher Marketing: The core mission of the U. S. Climate Change Science Program (CCSP) is to "Facilitate the creation and application of knowledge of the Earth's global environment through research, observations, decision support, and communication." To accomplish this goal, the CCSP has commissioned 21 Synthesis and Assessment Products to summarize current knowledge and evaluate the extent and development of this knowledge for future scientific explorations and policy planning. These Products fall within five goals, namely: 1. Improve knowledge of the Earth's past and present climate and environment, including its natural variability, and improve understanding of the causes of observed variability and change; 2. Improve quantification of the forces bringing about changes in the Earth's climate and related systems; 3. Reduce uncertainty in projections of how the Earth's climate and environmental systems may change in the future; 4. Understand the sensitivity and adaptability of different natural and managed ecosystems and human systems to climate and related global changes; and 5. Explore the uses and identify the limits of evolving knowledge to manage risks and opportunities related to climate variability and change. CCSP Synthesis and Assessment Product 5.3 is one of three products to be developed for the final goal. This Product directly addresses decision-support experiments and evaluations that have used seasonal-to-interannual forecasts and observational data, and is expected to inform (1) decision makers about the experiences of others who have experimented with these forecasts and data in resource management; (2) climatologists, hydrologists, and social scientists on how to advance the delivery of decision support resources that use the most recent forecast products, methodologies, and tools; and (3) science and resource managers as they plan for future investments in research related to forecasts and their role in decision support.