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This simulation shows how increasing CO2 levels may affect sea
ice thickness at the poles. Visualizations are shown for both a
control run, where CO2 levels remain constant, and an experimental
run, with CO2 levels increasing at 1 percent per year. The 50-year
control run reveals no perceptible change in ice thickness. However,
after 140 years of integration the increasing CO2 run obtains a
quadrupling of atmospheric CO2 and shows a dramatic reduction in
sea ice thickness at the North Pole. The ice thickness is depicted
with a blue to white color mapping, where white represents the thickest
ice. |
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| Control Run, Monthly,
Jan 170 - Jan 220 |
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| North Pole - Arctic |
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South Pole - Antarctic |
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QuickTime
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Simulated Arctic sea ice thickness
from the CCSM2 control run assumes present day atmospheric greenhouse
gas levels and shows monthly variations due to natural variability
of the climate. A large annual cycle is clearly apparent, and
year-to-year variations in the ice cover are also seen. This is
consistent with observations.
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QuickTime
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Animations of monthly averaged data
for the southern hemisphere also clearly show a large annual cycle.
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Control Run,
Jul-Aug-Sep Averages, Year 170 - Year 219 |
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| North Pole |
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South Pole |
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QuickTime
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By averaging over the Northern Hemisphere
Summer months (July-August-September), the seasonal influences are
dimished, making the interannual changes more evident. This control
run animation reveals interannual variability (consistent with observations),
but there is no perceptible change in ice thickness over the 50
year period. |
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QuickTime
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CO2 Run, Monthly, Feb 220 - Dec 369 |
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In the CO2 runs, year 220 is present day and atmospheric
CO2 is assumed to increase at 1% per year.
After 70 years of integration, CO2 levels have doubled from their
present day levels, and there are large open water areas present
within the Arctic basin during the late summer (September). By this
time, the annually averaged global surface air temperature has warmed
by a little over 1C. However, the warming in the Arctic is greater
than 3 times this amount, and is the largest on the globe.
After 140 years of integration, CO2 levels have quadrupled from
their present day levels, and the Arctic is largely ice free in
the summer months. This has important implications for climate as
well as effects on socio-economic conditions. Some nations, for
example, are very interested in the possibility of opening shipping
channels across the Arctic and exploiting this connection between
the Atlantic and Pacific Oceans. Also, the disappearance of the
ice pack could have a negative impact on wildlife such as seals
and polar bears which use the ice pack for breeding and hunting
grounds. |
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North Pole |
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South Pole |
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Sept 220

Sept 369
QuickTime
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(click images to enlarge)
A further animation shows the monthly
averaged sea ice under a transient climate change scenario in
which atmospheric CO2 increases at 1% per year. The large annual
cycle is still observed, but the ice cover also steadily thins
over the simulation.
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Sept 220

Sept 369
QuickTime
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(click images to enlarge)
In the Southern Hemisphere, the sea
ice does thin under the climate change scenario runs, but the changes
are typically smaller than those observed in the northern hemisphere.
This is likely due to changes in ocean heat uptake. |
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| CO2
Run, Jul-Aug-Sep Averages, Year 220 - Year 369 |
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| North Pole |
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South Pole |
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Year 220

Year 369
QuickTime
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(click images to enlarge)
These visualizations show the JAS
averages and include a red line that depicts the maximum extent
of 1 cm thick sea ice from the summer averaged control run. Interannual
variability is evident again, but there is a very perceptible change
in ice thickness over the 150 year period. |
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Year 220
Year 369
QuickTime
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(click images to enlarge)
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| Model |
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Model Name: |
CCSM2 |
| Data |
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| Data Size: |
A single monthly history file of ice model output is ~ 35MB.
The ice concentration shown in the animation is only one field
out of 57 data fields and 15 grid information fields on this
file (all of which are on the same grid). |
| Data resolution: |
ice and ocean model grids at 320x384
atmosphere and land
model grids at T42 (~ 2.875°) |
| CPU: |
NCAR's Blackforest (104-processor IBM SP) |
CPU Hours: |
700 CPU hours/model year |
| Wall clock hours: |
~ 4 model years per wall clock day |
| Coverage |
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Time Evolution: |
50 year control run, 150 year CO2 run |
Time Resolution: |
Monthly and Jul-Aug-Sep Averages |
Real World Dimensions: |
Global |
| Project |
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Scientific Credits: |
- Marika Holland, CGD/NCAR
- Cecilia Bitz, U. Washington
- Bruce Briegleb, CGD/NCAR
- Elizabeth Hunke, LANL
- Bill Lipscomb, LANL
- Richard Moritz, U. Washington
- Julie Schramm, CGD/NCAR
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Visualization Credits |
- Fred Clare, NCAR/SCD
- John Clyne, NCAR/SCD
- Tim Scheitlin, NCAR/SCD
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Date Created: |
2003-02-01
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Date Catalogued: |
2003-03-05 |
Rights: |
© 2002, UCAR,
All rights reserved. |
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