Transcript Slide 1

1. Assessment of feasibility
•Carbon cycle model, vegetation model, soil carbon
dynamics models
•TEM directly in WRF is not an option because it does not provide the fluxes
need by the atmospheric part
•WRF or CCSM designed both possible (see 5.)
•Drive model with reanalysis
•Two-way-coupling ASM to CCSM (long-term goal)
•Clouds bias encourage UW to particpate, WRF
better cloud models also for potential coupling with
marineecosystem model
•Super-stable boundary layer is a problem
•Need urban component in ASM
•Observational studies for evaluation
•Minimize parameters that must be tuned
2. Identification of potential participants
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Scientific community as they offer
modules
Need working group that discusses
whether a module is for sensitivity study
only or goes in as permanent element
Adopt NCAR CCSM/WRF
working
group system to decide
3. Organizational framework
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Black box approach (people do not need to understand
all components to do something)
Well define data exchange like cpl or ESMF
Expandable for various pft
Pft number not tied to parallel computing
What resolution?
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Keep hydrostatic
use downscaling/upscaling
AMS should also be usable in an assimilation mode to
identify uncertainties
Time splitting/operator splitting where it makes sense
4. Elements of an implementation plan
Develop atmosphere land part parallel
to the coupling ocean sea-ice
atmosphere part
Can
already
address
research
questions using observed SST
Go for one-way coupling first
Go two-way in the next proposal phase
5. Regional model opposed to global model
• WRF-CCSM driven vs.
regionalized for the Arctic
CCSM
– CCSM with regional CCSM nested
– WRF, but using CLM because of
incorporated
hydrology
model,
ecosystem part and urban model
(better than LSMs used in WRF)
• WRF-CCSM coupled provides right
frequency for tropical storms
• WRF better cloud parameterizations than
CCSM
Why?
• How does the Arctic land surface influence
of the climate system?
– 2 aspects:
• trace gases biogeochemistry
• vegetation dynamics by roughness length, albedo
• Tool for downscaling projections into the
future