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This book offers valuable climate policy and climate assessment
lessons, depicting what it takes to build a sustained climate
assessment process. It explores the third U.S. National Climate
Assessment (NCA3) report as compared with previous US national
climate assessments, from both a process and content perspective.
The U.S. Global Change Research Program is required by law to
produce a National Climate Assessment report every four years, and
these reports provide a comprehensive evaluation of climate science
as well as observed and projected climate impacts on a variety of
sectors. As the book describes, a key contribution of the NCA3
approach is a far more deliberate interdisciplinary process, as
well as an engagement strategy that brought hundreds of public and
private sector stakeholders into the assessment community. Among
its most important conceptual contributions was an explicit focus
on building the infrastructure to conduct better assessments over
time and an experimental approach to analysis of the impacts of
climate on cross-sectoral systems and inter-locking and cascading
effects across sectors. Readers may explore innovations such as the
development of regional climatologies and projections for every
region of the US, as well as the development of the Global Change
Information System. The book also highlights the need for
decision-makers to be part of the assessment process, in order for
assessment findings to be truly useful from a decision-maker's
perspective. Many lessons have been learned by the NCA3 authors
that can be useful in future assessments and adaptation processes,
both within the US and internationally. This book passes on such
lessons and includes an evaluation of the role of state climate
assessments in ongoing national assessment processes.
This book offers valuable climate policy and climate assessment
lessons, depicting what it takes to build a sustained climate
assessment process. It explores the third U.S. National Climate
Assessment (NCA3) report as compared with previous US national
climate assessments, from both a process and content perspective.
The U.S. Global Change Research Program is required by law to
produce a National Climate Assessment report every four years, and
these reports provide a comprehensive evaluation of climate science
as well as observed and projected climate impacts on a variety of
sectors. As the book describes, a key contribution of the NCA3
approach is a far more deliberate interdisciplinary process, as
well as an engagement strategy that brought hundreds of public and
private sector stakeholders into the assessment community. Among
its most important conceptual contributions was an explicit focus
on building the infrastructure to conduct better assessments over
time and an experimental approach to analysis of the impacts of
climate on cross-sectoral systems and inter-locking and cascading
effects across sectors. Readers may explore innovations such as the
development of regional climatologies and projections for every
region of the US, as well as the development of the Global Change
Information System. The book also highlights the need for
decision-makers to be part of the assessment process, in order for
assessment findings to be truly useful from a decision-maker's
perspective. Many lessons have been learned by the NCA3 authors
that can be useful in future assessments and adaptation processes,
both within the US and internationally. This book passes on such
lessons and includes an evaluation of the role of state climate
assessments in ongoing national assessment processes.
The National Academies' Roundtable on Science and Technology for
Sustainability hosted a workshop "Knowledge-Action Systems for
Seasonal to Interannual Climate Forecasting" in 2004 to discover
and distill general lessons about the design of effective systems
for linking knowledge with action from the last decade's experience
with the production and application of seasonal to interannual
climate forecasts. Workshop participants described lessons they had
learned based on their experiences developing, applying, and using
decision support systems in the United States, Columbia, Brazil,
and Australia. Some of the key lessons discussed, as characterized
by David Cash and James Buizer, were that effective
knowledge-action systems: define and frame the problem to be
addressed via collaboration between knowledge users and knowledge
producers; tend to be end-to-end systems that link user needs to
basic scientific findings and observations; are often anchored in
"boundary organizations" that act as intermediaries between nodes
in the system - most notably between scientists and decision
makers; feature flexible processes and institutions to be
responsive to what is learned; use funding strategies tailored to
the dual public/private character of such systems; and require
people who can work across disciplines, issue areas, and the
knowledge?action interface. Table of Contents Front Matter 1
Introduction 2 Case Material 3 Useful Framework for Understanding
Forecasting Efforts 4 Components of Effective Systems References
Appendix A: Acronyms Appendix B: Workshop Agenda Appendix C:
Participants
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