Christina Pedersen (NPI) and her colleagues investigate melt ponds on
sea ice surface to find out that their presence in summer months
substantially affect albedo and energy balance - something the Global
Climate Models (GCMs) struggle with. The team comes up with a new,
physically based sea ice-albedo parameterization scheme to be used in
ECHAM5 GCM.
The average temperature in the Arctic has
increased at twice the rate of the global average the last 100 years,
and with the increased warming, substantial decrease in both sea-ice
extent and thickness has occurred . Particularly, the September minimum
sea ice extent in the Arctic has declined by about 8% the last 30 years.
All general circulation models (GCM) used in the Intergovernmental Panel
on Climate Change Fourth Assessment Report (IPCC AR4) show recent
declining Arctic sea ice extent, however, none of the models show trends
comparable to the recent observations. The team believes one of the
reasons can be shortcomings in the description of the energy balance in
GCMs.
In a work accepted for publication in Journal of
Geophysical Research, they have introduced new and important components
in the energy balance of ECHAM5 GCM, which reduce the sea ice albedo (portion
of the incoming solar radiation which is reflected by the surface),
particularly in summer, and particularly in the Arctic, and thereby
affect the sea ice extent and thickness in the Arctic.
Snow and sea-ice covered surfaces have a high albedo and are important
for the climate whenever large areas are exposed to significant solar
energy. Sea ice is particularly sensitive to moderate temperature
changes as a warmer climate may melt the ice and expose larger areas of
open water, resulting in most of the incoming sunlight being absorbed,
which again leads to further warming. This amplifies the warming and
creates a positive feedback. The sea-ice albedo feedback is important
for the energy balance in GCMs. Traditionally, GCMs have treated
high-latitude cryospheric processes quite crudely. Most schemes are very
simplistic, depending only on surface type and temperature. A few
schemes include snow depth and ice thickness, and even fewer include
spectral and solar angle dependencies. Also, many GCMs use the sea-ice
albedo as a tuning parameter. Previous studies have shown that todays
GCMs are unable to capture the annual cycle of sea-ice albedo,
particularly in summer where the GCMs overestimate the albedo.
A correct representation of sea-ice albedo in GCMs is necessary to
incorporate the physical processes involved in the formation and melting
of snow and sea ice. It has previously been shown that more advanced
schemes allows for larger albedo feedbacks. During the northern
hemisphere summer, solar radiation melts the snow and the upper surface
of the sea ice. This produces melt water which later transforms into
melt ponds on the ice. These melt ponds substantially reduce the surface
albedo and absorb two to three times more solar energy compared to thick
bare sea ice. The spatial distribution of melt ponds depends on the
topography of the snow and sea ice. First year ice (FYI) tends to be
smoother than multi year ice (MYI), and melt ponds on FYI are normally
less deep, but cover a larger area. On the rougher MYI the melt ponds
form in depressions, and tend to be smaller, deeper and more numerous.
Christina Pedersen and her colleagues propose a new, more physically
based sea-ice albedo parameterization scheme for the ECHAM5 GCM. The new
scheme separates between four surface types (snow covered ice, bare ice,
melt ponds and open water) and determines the albedo and fraction of
these types separately. This is the first time a physical description of
melt pond albedo is included explicitly in any GCM. Despite the
relatively short duration of melt ponds, they contribute significantly
to the energy balance because the albedo effect on the climate is
largest in summer.
Simulations are done by comparing the new albedo scheme, with the
original temperature dependent albedo scheme in ECHAM5. Compared to the
old albedo scheme (CTL), the new scheme (ALB) was found to reduce the
sea-ice albedo both in winter, due to snow aging, and in summer, due to
melt ponds. In addition, the spring decay and autumn increase of sea-ice
albedo were captured in a more realistic way in the new scheme.
The new albedo parameterization scheme simulated the annual cycle of
sea-ice albedo in a realistic way, capturing the important changes that
determine the onset of melt, the duration of melt, and the start of the
fall freeze-up. The correlation coefficient between one year sea-ice
albedo simulations (ALB) and one year observations at the SHEBA site was
0.83, where the ALB albedo was slightly higher than the observed albedo
in summer. The SHEBA albedo may, however, represent a lower boundary for
albedo during summer.
The new albedo scheme performed well in modeling the coverage of melt
ponds both when looking at the temporal evolution and the mean area
covered. For the entire NH, the coverage was on the low side compared to
observations, but it gave for the first time an estimate of the spatial
variability of the melt pond coverage. The reductions in albedo were
predominantly in the FYI areas, as melt ponds tend to cover larger areas
on FYI. The melt ponds tend to be shallower on FYI, but the many shallow
melt ponds on FYI reduced the albedo more than the fewer deeper ponds on
MYI. There was large interannual variability in the ECHAM5 model. This
implies there were years when hardly any melt ponds formed, while in
others the formation of melt ponds started already in early June and
reached depths up to 0.5 m in August. The maximum fraction of melt ponds
was between 26% and 48%.
The overall effect on the sea-ice albedo was largest in summer, with
average reductions of 23%, or 0.14, in the northern hemisphere in
August. In the southern hemisphere the overall effect was smaller. The
effect of reduced sea-ice albedo was overall reduced sea-ice thickness,
concentration, and volume, with large temporal and spatial variations.
This is based on the paper “A new sea ice albedo scheme including melt
ponds for ECHAM5 GCM” by Christina A. Pedersen and others, in press (JGR).
Source and contact: Christina Pedersen, NPI (christina.pedersen@npolar.no)
Read in other sources:
Dammer kan forklare smelting (NPI nyheter);
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Melt ponds on the sea ice surface (photo: Sebastian Gerland, NPI).

Arctic sea ice extent from
observations (thick red line) and from 13
IPCC
4AR climate models, and multi-model ensamble mean (solid black line) and
standard deviation (dotted black line). The inset shows 9 years running
mean. From NSIDC and NASA, 2008.

Measurements of albedo over a refrozen melt pond in the Fram Strait in
autumn 2007. The melt ponds have a distinct darker color than the
surrounding snow, and absorb more of the incoming solar radiation (photo:
Stephen R. Hudson, NPI)

Christina Pedersen during albedo measurements on sea ice
using a Field Spec Pro spectrometer (350-2500nm) in Fram Strait, spring
2005 (photo: Christina Pedersen, NPI)

50 years model simulations giving the sea ice albedo in August from the
new albedo scheme (ALB) to the left and the difference between the new
and old albedo scheme (ALB-CTL) to the right. |