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How can regional coupled arctic modeling efforts best interact with the global climate modeling community?

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Regional Arctic models focus on polar specific improvements ... For example, rapid ice loss and the mechanisms that drive that loss (role of ocean, clouds, etc. ... – PowerPoint PPT presentation

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Title: How can regional coupled arctic modeling efforts best interact with the global climate modeling community?


1
How can regional coupled arctic modeling
efforts best interact with the global climate
modeling community?
  • Marika Holland, NCAR
  • Cecilia Bitz, U. Washington
  • Dave Bailey, NCAR
  • Elizabeth Hunke, LANL
  • Dave Lawrence, NCAR
  • Steve Vavrus, U. Wisconsin

2
(No Transcript)
3
RCM/GCM InteractionsModel Developments
  • Regional Arctic models focus on polar specific
    improvements
  • Can help inform/feed back into global modeling
  • Can allow studies on the global climate
    impacts/feedbacks of these polar processes
  • Development efforts need to be aware of influence
    on climate sensitivity, compensating errors
    (sometimes of omission)
  • RCM intercomparisons can identify things of
    interest to GCMs

4
RCM/GCM InteractionsModel Development Examples
  • For example, AOMIP / ARCMIP have highlighted
    areas in need of improvement or inclusion in GCMs
  • Cloud processes
  • Tidal mixing
  • Etc.

Wyser et al., 2008
5
Model DevelopmentsCautions for Global
Applications
  • Must be generalized to work globally
  • Must work in all climate regimes, in space and
    time (generally will not use regionally specific
    parameterizations)
  • Should not improve the Arctic at the expense of
    other regions
  • Polar specific improvements need to work in the
    southern hemisphere
  • Heat/Water conservation issues

6
RCM/GCM InteractionsCoordinated Experiments
  • Provides scientifically interesting collaborative
    efforts
  • Facilitates communication across RCM/GCM
    communities
  • Enables scientific investment in joint RCM/GCM
    studies

7
Coordinated Experiments Examples
  • Importance of local versus remote forcing for
    Arctic climate conditions
  • GCM forcing of a regional model for different
    scenarios BGC studies along these lines
    (chemical transports, etc.)?
  • Use RCM to study influence of boundary
    perturbation on system (e.g. pulse-like ocean
    heat transport perturbation)

Arctic Ocean change
Ocean Heat Transport to Arctic
Polyakov et al., 2005
8
Coordinated Experiments Examples
  • Mechanisms driving Polar Amplification
  • Under the same boundary forcing (from 1 or
    multiple GCMs), what range of polar amplification
    is simulated by RCM due to internal
    parameterization changes

IPCC-AR4 Models SRES-A1B
9
Coordinated Experiments Examples
  • Use RCM to investigate events simulated in a
    GCM under different forcing scenarios
  • For example, rapid ice loss and the mechanisms
    that drive that loss (role of ocean, clouds,
    etc.)
  • Does an RCM with higher resolution/improved
    Arctic processes simulate a different response?

Observed
Simulated
Sept Ice Extent
10
Coordinated Experiments Examples
  • Arctic climate impacts
  • Provide forcing from a GCM (e.g. sea level rise)
  • Use RCM to investigate the effects on processes
    that are not included in the global model (e.g.
    coastal erosion)

11
Logistics to facilitate RCM/GCM interaction
  • Communication
  • Participation at meetings, on working groups,
    through coordinated experiments, others
  • Some similar base model components?
  • Would allow easier interactions and integration
    of model development efforts
  • Joint Participation in MIPS? (Lessons from
    AOMIP?)
  • Others?

12
Discussion
  • Model development activities, coordinated
    experiments, active communication could all
    facilitate interaction between RCM/GCM
    communities
  • Others mechanisms to facilitate interaction?
  • Interest in coordinated experiments - possible
    short list of interesting problems?
  • GCM component models and their applicability for
    RCMs?
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