This Synthesis and Assessment Product focuses on the connection between the scientific ability to predict climate on seasonal scales and the opportunity to incorporate such understanding into water resource management decisions. It 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 relative success of 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 …
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This Synthesis and Assessment Product focuses on the connection between the scientific ability to predict climate on seasonal scales and the opportunity to incorporate such understanding into water resource management decisions. It 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 relative success of 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. It is important to note, however, that while the focus of this Product is on the water resources management sector, the findings within this Synthesis and Assessment Product may be directly transferred to other sectors.
Physical Description
xii, 192 p. : col. ill.
Notes
This Synthesis and Assessment Product, described in the U.S. Climate Change Science Program (CCSP) Strategic Plan, was prepared in accordance with Section 515 of the Treasury and General Government Appropriations Act for Fiscal Year 2001 (Public Law 106-554) and the information quality act guidelines issued by the Department of Commerce and NOAA pursuant to Section 515 <http://www.noaanews.noaa.gov/stories/iq.htm>. The CCSP Interagency Committee relies on Department of Commerce and NOAA certifications regarding compliance with Section 515 and Department guidelines as the basis for determining that this product conforms with Section 515. For purposes of compliance with Section 515, this CCSP Synthesis and Assessment Product is an "interpreted product" as that term is used in NOAA guidelines and is classified as "highly influential". This document does not express any regulatory policies of the United States or any of its agencies, or provide recommendations for regulatory action.
Water Resources and Climate Prediction: Linking Science with Decisions - ark:/67531/metadc29382
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Environmental Policy Collection
The Environmental Policy Collection contains reports, policy documents, and media selected from local, statewide, national, and international organizations; government and private agencies; and scientific and research institutions. The collection also contains theses and dissertations relevant to environmental policy.
This brochure summarizes research that focuses on the scientific ability to predict climate on seasonal and year-to-year timescales and the opportunity to incorporate such information into water resource management decisions.
Water Resources and Climate Prediction: Linking Science with Decisions - ark:/67531/metadc29382
Beller-Simms, Nancy; Ingram, Helen; Feldman, David; Mantua, Nathan; Jacobs, Katharine L. & Waple, Anne M.Decision-Support Experiments and Evaluations using Seasonal-to-Interannual Forecasts and Observational Data: A Focus on Water Resources,
book,
January 2009;
Washington, DC.
(https://digital.library.unt.edu/ark:/67531/metadc12037/:
accessed March 28, 2024),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
.