Transcript Slide 1

Canadian
Climate
Change
Impacts &
Adaptation
Program
Project A515
Newfoundland – Labrador Shelf
& WWF
Scotian Shelf
Sea Surface Temperature Changes
& Biogeographic Ranges of
Northeast US
Continental Shelf
Commercial Marine Species
Gail L. Chmura1, Lou Van Guelpen2, Gerhard W. Pohle2,
Sarah Vereault1, and Elizabeth Flanary1
www.geog.mcgill.ca/climatechange/
www.wwf.ca
1 McGill University & Global Environment and Climate Change Centre
2 Huntsman Marine Science Centre / Atlantic Reference Centre
For each species
the “thermal niche” or “bioclimate envelope” was determined
from its geographical distribution (water depths & range in
latitude) with respect to satellite-derived (AVHRR) data on sea
surface temperatures.
We determined the winter minimum and summer maximum.
February
August
We determined future temperatures by adding the change
image to this one.
Laminaria digitata
– reported thermal niche (or range) is -2 to 22°C
Plotted from temperatures
reported in the literature.
Plotted from temperatures
derived from distribution data.
Scenarios of Forcing Factors Used –
from the Intergovernmental Panel on Climate Change (IPCC)
B2
forecasts low population growth
and more concern for the environment
A2
forecasts high population growth
and less concern for the environment
greater cumulative emissions of greenhouse gases
(& sulphate aerosols)
WWW.IPCC.ch
We used output from
global circulation / global climate models – actually
Atmosphere-Ocean General Circulation Models (AOGCMs)
2 periods used:
1960-1999 = baseline
2070-2099
= 4°C avg global warming
New 2005
Plus: 2030-2059
= 2°C avg global warming - see website
Using geospatial
statistics
we downscaled the
coarse output of each
AOGCM
Hadley Centre
AOGCMs vary in their number of layers and algorithms for the processes
and transfers among the layers.
AOGCMs vary in their spatial resolution.
Spatial Resolution
of Models (°lat & long)
CCCma
CCSR/NIES
3.75 x 3.75
5.6 x 5.6
CSIRO
GFDL
3.2 x 5.6
2.25 x 3.75
GFDL
(US Geophysical Fluid Dynamics
Laboratory)
=
-
avg Feb SST
(or Aug)
over the period
2070-2099
avg Feb SST
(or Aug)
over the baseline
period 1960-1999
change in SSTs
for that month
(at the center of
each pixel)
“downscaled”
n
 z(u )d
i
z(u 0 ) 
GFDL grid in vector format.
i1
n
d
i1
change in SSTs

p
ij
p
ij
GFDL changefield for February
Change = 2099 minus the baseline:
February
CCCma
CCSR
CSIRO
GFDL
A2
B2
change in temp.
August
A2
Greater differences among models than between scenarios.
B2
CCCma
February
A2
B2
August
A2
B2
CCSR
CSIRO
GFDL
real-time
satellite data,
averaged,
& 9 km
resolution
interpolated
(downscaled)
change in SSTs
=
+
GFDL changefield for Feb
future sea
surface
temperatures
February AVHRR SST
GFDL prediction for
Feb SST 2079-2099.