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Scenario Development and RiskBased Decision Support

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The importance of connecting science to decision makers is prominent ... not really a 2-4 year problem 'Horses for courses' Importance of uncertainty analysis ... – PowerPoint PPT presentation

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Title: Scenario Development and RiskBased Decision Support


1
Scenario Development and Risk-Based Decision
Support
  • Moderator John Houghton (DOE)
  • Overview Henry Jacoby (MIT)
  • Rapporteurs
  • Claudia Nierenberg (NOAA)
  • Joel Scheraga (EPA)
  • Panelists
  • Eric Barron (Pennsylvania State University)
  • Paul Craig (Sierra Club)
  • Philip Mote (University of Washington)
  • Bob Corell (Harvard, AMS)

2
Why the Need for the CCRI
Climate Research
Policymakers Managers
Mitigation
USGCRPOther US Global
Adaptation
3
Summary of CCRI Structure
Climate Research
Policymakers Managers
Scenario Developmt
Mitigation
USGCRPOther US Global
Impacts Analysis
Adaptation
Applied Climate Modeling
4
Key Observations
  • The voice of the science community is evident in
    the strategic plan
  • The importance of connecting science to decision
    makers is prominent
  • The CCSPO Strategic Plan sets the stage for a new
    approach integrating Research, Observations,
    Assessment and Decision Support (The ROADS
    Strategy)
  • Moving from a problem identification strategy to
    a more solutions-oriented strategy

5
Observations
  • Research
  • How to elicit opinions
  • Tool development
  • Not all is research
  • institution-building
  • new apparatus
  • not policy analysis
  • Move to strategic plan from visions

6
Challenges in Providing Decision Support
  • Need a generalized, flexible capability
  • not really a 2-4 year problem
  • Horses for courses
  • Importance of uncertainty analysis
  • Capability is diffuse diverse
  • Organizational issues
  • integration/separation of functions (?)
  • Managing the new working arrangements
  • Meeting short-term goals while creating long-term
    capability

7
Challenges in Providing Decision Support
  • Assessments must be
  • credible
  • salient
  • legitimate
  • Methods, models and tools Shy away from tendency
    to focus on only a few of the rich array
  • Scenarios Need to look at wide array of
    scenarios not limited to scenario-driven
    climate models
  • Integrating science insights and knowledge from
    other sources (e.g., indigenous perspectives)

8
Challenges in Providing Decision Support
  • Risk communication
  • No constituency pushing for adaptation
  • Need many tools and techniques to make use of
    climate model output
  • Long-range forecasts are not validatable But
    usefulness and accuracy are different concepts.
    Need a generalized, flexible capability (not
    really a 2-4 year problem)

9
Weaknesses
  • Multiple Stresses and Regional Imperatives
  • We need to do much more to energize the science
    community in service to society
  • Decision-Making goes well beyond energy policy
  • Good balance between research and practice ...
  • but needs more prioritization (Santas wish
    list)
  • More on non-CO2 greenhouse gases
  • Reluctant to draw lessons from IPCC, USNA
  • Need more on climate variability
  • Need more detail on how to build bridge between
    research and decision makers/stakeholders
  • Where is emphasis on impacts and adaptation
    analysis?

10
Weaknesses
  • Need more attention to international concerns

11
Concerns
  • Reassess
  • Strategys time frames (I.e., 2-4 years for the
    CCRI and 10 years for the USGCRP)
  • the necessary resources to invest in and
    implement the strategic plans
  • management and coordination mechanisms for
    implementation
  • 2-4 year time frame
  • These things take time (e.g., uncertainty
    analysis)
  • Dont wait until last minute to begin future
    assessments!

12
Thank you
13
Why a CCRI?
  • Have flood of research results BUT not much way
    for feedback of stakeholders questions
  • Decision support is a bridge
  • Introduction of dialogue and a new way of doing
    things working relationships

14
Importance of Risk Analysis
  • Climate issue is fundamentally a problem of risk
    analysis and decision making under uncertainty
  • Experience also suggests that it is more
    effective to pose climate change as a risk
    management problem to local decision makers

15
Key Observations
  • Scenario development has a logical 3-prong
    approach
  • Historical perspectives
  • What if scenarios
  • Model projections
  • But, we are also missing a key opportunity
  • to energize the science community in service to
    society
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