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Seamless Prediction Paradigm

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Seamless Prediction Paradigm – PowerPoint PPT presentation

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Title: Seamless Prediction Paradigm


1
Seamless Prediction Paradigm
  • Benefits, Challenges Questions
  • from Expert Users Perspective
  • Lee Branscome
  • Climatological Consulting Corporation

2
Scientific Marriage of Weather Climate
  • Potential Advances in
  • Understanding modeling of scale interactions
  • Connection between weather climate observations
  • Extreme high impact events in climate
    projections
  • Regional climate change of means variances
  • Better medium-range to seasonal predictions
  • Increased confidence in climate projections
  • Socioeconomic environmental relevance on all
    scales

3
Scientific Limitations Challenges
  • Limits on predictability knowledge on all
    scales
  • DONT OVERPROMISE
  • - e.g., missteps in Florida water resource
    management for 2006-2007
  • Still limited to scenario-based climate
    projections, not predictions
  • Modeling verification of upscale interactions
    will require many intensive observational
    programs
  • Constraint on verification of processes
    predictions of decadal scales
  • Need to develop assimilate new sensor
    technology
  • Complexity of modeling - still need to do
    small-chunk modeling

4
Practical Challenges
  • Overcome competition between weather climate
    goals resources
  • Massive computational storage resources needed
  • Coordinating collaborative effort of diverse
    sciences interests
  • Lack of funding personnel at all levels
  • Engagement of users in identification
    development of useful products

5
Questions
  • What are most immediate scientific roadblocks?
    What resources are needed to overcome them?
  • What must done to make massive Earth System
    Models understandable, manageable, verifiable?
  • If NOAA takes lead, is reorganization needed?
    Would a separate Natl. Climate Service help or
    hurt this effort?
  • How should tasks resources be divided among
    international, public, private partners?
  • How can users be most effectively engaged in this
    effort?
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