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Review of CCSP Draft Synthesis and Assessment Product 5.3 : Decision-Support Experiments and Evaluations Using Seasonal to Interannual Forecasts and Observational Data

Authors :
National Research Council
Division of Behavioral and Social Sciences and Education
Center for Economic, Governance, and International Studies
Committee on the Human Dimensions of Global Change
Panel to Review CCSP Draft Synthesis and Assessment Product 5.3: Decision-Support Experiments and Evaluations Using Seasonal
National Research Council
Division of Behavioral and Social Sciences and Education
Center for Economic, Governance, and International Studies
Committee on the Human Dimensions of Global Change
Panel to Review CCSP Draft Synthesis and Assessment Product 5.3: Decision-Support Experiments and Evaluations Using Seasonal
Publication Year :
2008

Abstract

This study offered an independent peer review for a synthetic document being produced for the CCSP. It found the draft document to be in a fairly early stage of development and noted several issues needing attention in the revision. The draft was inconsistent across sections with respect to whether or not it accepted two assumptions: that more skillful forecasts necessarily have greater value, and that the most useful form of information is a projected future value of an outcome parameter with an uncertainty distribution. Available scientific evidence gives reason to question these assumptions, and the draft did not discuss the evidence. Among other issues needing attention, the review called for the revised draft to do more to substantiate its claims of the potential benefits of knowledge-action networks and to give more careful consideration to the appropriate balance of roles between governmental and private efforts.

Details

Language :
English
ISBNs :
9780309115681, 9780309115698, 9780309178594, and 9780309190176
Database :
eBook Index
Journal :
Review of CCSP Draft Synthesis and Assessment Product 5.3 : Decision-Support Experiments and Evaluations Using Seasonal to Interannual Forecasts and Observational Data
Publication Type :
eBook
Accession number :
220465