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Report of the CSM Polar Climate Working Group Meeting
18-19 January, 2000, NCAR Mesa Lab
C. Bitz presented
results from a simulation performed with CCM3 running at T42/18 resolution, and
forced by an 18-year time series of SST and sea ice extent, prescribed from
observations (courtesy of Reynolds). In
the central Arctic, the CCM simulated a sea level pressure field (SLP) lacking
the climatological mean cyclone seen in summertime observations, and in winter
the simulated anticyclone was displaced toward the North Pole from its observed
position. The result is that the
simulated SLP gradient is in many places almost perpendicular to the observed
SLP gradient. Simulated SLP contours
extending from the center of the Icelandic low are more zonally oriented than
observed, which would tend to force wind driven sea ice towards the Greenland
coast.
Bitz also reported
the results of running a developer's version of the new CSM sea ice model
forced by output from the CCM3 T42/18 experiment described above. The map of
simulated mean arctic ice thickness has a very large maximum offshore of
Siberia, with a secondary maximum centered approximately on the "pole of
inaccessibility" north of the Beaufort Sea. This pattern contrasts sharply with observations, which show the
maximum mean ice thickness off the Greenland/Ellesmere north coasts. Similar problems are reported with the GFDL
model (pers. comm. M. Winton).
Bitz also presented
climatological time series of SLP from selected arctic sites (Beaufort Sea,
Icelandic Low, Aleutian Low) simulated by CCM and by many other models
participating in the AMIP1 experiments (this is joint work with Fyfe at
CCC). The CCM SLP in the Beaufort is
too high in summer, too low in winter. In the Icelandic Low area, CCM SLP is too low year round, and lags the
observations by about 1 month. The
best of the AMIP1 model SLP time series appeared to be those of the BMRC and
UGAMP models. (NOTE: analysis performed
after this meeting indicates BMRC and UGAMP also do not capture the distribution
of mean winter and summer SLP in the central Arctic).
Action Item, re:
Arctic SLP
PCWG will analyze T85
simulation by the PCM group (when available) to assess resolution effects on
arctic SLP; PCWG will design and conduct experiments with CCM with increased
(over T42) resolution; PCWg will analyze results from regional (mesoscale)
models. Participants - Bettge, Bitz,
Briegleb, Lynch, Moritz.
M. Holland presented
results of simulations performed with the UVic global model forced by NCEP
winds, and by CSM winds, for the period 1958-1996. The sea ice model employed EVP dynamics and a multiple category
thickness distribution. When forced by
the CSM winds, the simulated sea ice displays the problems similar to those
presented by C. Bitz above: too thick off the Siberian coast, and too much
exported ice going east of Spits Bergen instead of through Fram Strait. These problems will propagate through the
simulated climate system through errors in downward short-wave radiation, ice
growth rates, fresh water fluxes, sensible and latent heat fluxes, etc.
During the
discussion, A. Proshutinsky indicated that cyclonic atmospheric flow at the
surface is needed to "flush" sea ice from the Arctic Basin, and does
not appear to occur in CCM and CSM simulations. In general, the magnitude of atmospheric variability is too low in
the 300-year CSM run. B. Briegleb noted
that problems with the atmospheric circulation also affect simulations of
Antarctic sea ice in similar ways. M.
Holland also pointed out that with filtering at the North Pole and the Bering
Strait and Canadian Archipelago closed, no one has seriously analyzed the NCOM
Arctic ocean simulation. A.
Proshutinsky noted the development of a new Arctic Ocean Model Intercomparison
Project. The first task will be to
organize data sets, targeting for a 50-year data set, including sea level, ice
thickness and extent. The goal is to
understand how well model reproduce the Arctic Ocean climate. An organizational meeting will be held at
the Polar Science Center in summer, 2000.
Action Item, re: Sea
ice model evaluation
PCWG will compare sea
ice simulated with the new CSM model forced by (a) NCEP winds and (b) CCM and
CSM winds. The analysis will proceed in
two steps, first verifying that the model produces good results with good
forcing, is stable And understood, and second assessing the likely problems
that arise in coupling to the atmosphere. Participants - Briegleb, Bitz, Holland.
QUESTION: aren't csm winds = ccm winds?
if they are different, then "(b) ccm and(c) csm"
Action Item, re: Data
Sets
PCWG will establish
forcing and verification data sets for simulations with the new CSM ice model,
to include the following variables: air temperature, humidity, wind velocity,
incident radiation fluxes, ocean currents, heat flux from the ocean, ice
velocity, ice thickness, and thickness distribution. It was noted that a new re-analysis will be coming out from ECMWF and that should be looked at as a
candidate for forcing data. Participants
- Briegleb, Moritz.
Progress on the new
CSM Sea Ice Model:
a. Development of the active-ice-only (AIO)
framework is in progress at NCAR. Data
sets are needed to help distinguish problems of model performance from problems
with the forcing data. A good mixed
layer model may be needed in the absence of the full ocean model (Briegleb).
b. CICE2.0 is available on the web from LANL,
and is being readied for LANL Ocean/Ice spinups (Hunke).
c. The current CSM surface albedo scheme over
sea ice is not too bad, based on analysis of the 40-year coupled
integration. It may be a bit too low in
spring, and a bit higher than typically
observed in summer. (Briegleb). J.
Curry indicates CICE and CSM albedo parameterizations should be compared with
other data sets including SHEBA, and with other models. A relevant paper is posted on the GCSS
arctic cloud web page.
Action Item Evaluate albedo parameterizations. .
D. B. Lipscomb presented a new numerical scheme
for advecting the ice thickness distribution in thickness space, called
"Remapping". g(h) is
represented as polynomial functions of h on each interval. 1-D experiments with this scheme show it
converges with fewer thickness categories than the delta-function scheme,
simulates a different response of mean thickness to a warming scenario, and is
not a significant additional computing burden.
C. Bitz showed
preliminary results from the PCM implementation of the new ice model, run by T.
Craig (EVP dynamics, 5-category delta-function g(h), MPDATA advection, 2/3
degree resolution). The model was
forced by climatological winds and air temperatures. The model exhibited some large variation in velocity on small spatial
scale (1 grid point, checker boarding), which varies with the model time step,
and may be due to strength variations associated with the variable thickness
distribution. The model does not
exhibit the checker boarding when upstream advection is used in place of
MPDATA, probably because of numerical diffusion. Bitz, Craig and Hunke will look into this.
C. Deser presented
results on the CCM3 response to prescribed sea ice anomalies based on
observations that ice has been advancing in the Labrador Sea and retreating in
the Greenland Sea over the last 40 years. Sea ice variability was prescribed using EOF's. The CCM3 response to variability in the
first EOF of sea ice coverage exhibited a pattern similar to the Arctic
Oscillation pattern, with amplitude 60m in geopotential height at 500 mb. Analysis indicates that the CCM3 response
tends to be "restoring", i.e. the atmospheric response tends to damp
out the ice anomaly. A further
experiment in which just the SST was perturbed resulted in a much smaller
response.
Bette Otto-Bliesner
presented an overview of the Paleo CSM work. The Paleo group is particularly interested in pre-industrial scenarios
involving solar variability, volcanic forcing and the last glacial
maximum. In an uncoupled mode they are
looking at sea ice variations over the past 10,000 years. Giff Miller has new proxy data on sea ice
variations during this interval.