Title: How can regional coupled arctic modeling efforts best interact with the global climate modeling community?
1How 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)
3RCM/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
4RCM/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
5Model 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
6RCM/GCM InteractionsCoordinated Experiments
- Provides scientifically interesting collaborative
efforts - Facilitates communication across RCM/GCM
communities - Enables scientific investment in joint RCM/GCM
studies
7Coordinated 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
8Coordinated 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
9Coordinated 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
10Coordinated 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)
11Logistics 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?
12Discussion
- 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?