Evaluating Progress of the U.S. Climate Change Science Program Methods and Preliminary Results (2007) / Chapter Skim
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The CCSP Strategic Plan and the guidelines given in the 2005 NRC report Thinking Strategically: The Appropriate Use of Metrics for the Climate Change Science Program will provide a starting point for this examination. The report will address two subtasks:
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Thirteen federal agencies participate in the CCSP, which has an annual budget of about $1.7 billion. The budget is provided and managed by the participating agencies, which also help set the direction of the program through interagency committees at various levels.
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: A: Improve data sets in space and time, and improve estimates of physical quantities B: Improve understanding and representation of processes C: Improve predictability, predictive capabilities, or assessment of uncertainty D: Improve synthesis and assessment to inform E: Improve assessment and management of risk, and improve decision support for management and policy making The rows of the matrix (research questions) are connected to the CCSP overarching goals, and the columns of the matrix overlap with the crosscutting issues.
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was influential in the 2007 report of the Intergovernmental Panel on Climate Change, 19 other CCSP synthesis and assessment products scheduled to be released by now are still in the production stage. Also, only a few small programs (e.g., Regional Integrated Sciences and Assessments program, Decision Making Under Uncertainty centers)
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Progress in human dimensions research has lagged progress in natural climate science, and the two fields have not yet been integrated in a way that would allow the potential societal impacts of climate change and management responses to be addressed. This disparity in progress likely reflects the inability of the CCSP to support a consistent and cogent research agenda as recommended in previous studies.
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Without a wide array of continuous satellite and in situ observations, the U.S. capability to monitor trends, document the impacts of future climate change, and further improve prediction and assimilation models through comparison with observations will decline even as the urgency of addressing climate change increases.
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