Comiso examined the perennial ice, which has survived two to seven summer melts. “The perennial ice is the mainstay of the Arctic ice cover. It’s the base from which the seasonal ice builds up during the end of summer,” Comiso said. As it ages, it becomes thicker, two to four meters (seven to thirteen feet) on average. When fall and winter set in, even more ice builds up on this surviving ice layer.
The thick ice is better able to endure through summer than the thinner ice. But because so much ice has melted in recent summers, Arctic sea ice now consists increasingly of thinner, first-year ice, averaging around a meter (three feet) thick. On average, perennial ice appears to be getting younger, and therefore thinner. “If you have a thinner ice cover, then it is more vulnerable to totally melting during the summer,” Comiso said. Sea ice models lacked data on trends in older ice.
To help distinguish ice age in satellite data, researchers started with knowledge about older ice handed down from native Arctic people. For ages, Inuit have used older ice as a source of drinking water: they knew that after a few years, sea ice loses its saltiness. Freezing, thawing, and refreezing over several years causes salty brine to drain out of sea ice. So scientists found that ice that has survived at least one melt season had unique characteristics that made it transparent to radiation. Air pockets and other inconsistencies within this ice also scatter much of the radiation before it reaches the satellite sensor. Comiso used this information to classify the ice by age, which gave him information about variability and trends in the age of the ice cover. Now he could better understand the rapid decline in perennial ice.
Comiso refined the algorithms for obtaining ice age, using AMSR-E data as the baseline, since it has higher resolution and a wider swath than the other sensors. He was able to look closely at the long time series of sea ice growth and melt, resolving ice classes by analyzing and comparing data from the instrument’s multiple frequencies. AMSR-E also provides more data around the geographic North Pole, which is typically covered by perennial sea ice.
The AMSR-E data, together with the historical SMMR and SSM/I data, helped Comiso confirm the faster retreat of the old ice. Although all types of ice are declining, including both seasonal ice and ice that is two or more years old, the oldest ice was declining the fastest. He said, “Compared to total ice extent and perennial ice extent, the trend for sea ice that is at least three years old is even steeper. This ice type is declining by 14 percent per decade.”
The balance of the ice
Comiso thinks that the accelerating loss of older ice suggests that the perennial ice pack will eventually disappear. The function of perennial ice in the Arctic can be compared to a thick block of ice in a picnic cooler, which will stay frozen longer than small ice cubes that have many exposed surfaces. In a similar way, the greater mass of thicker, older sea ice resists melting. Starting each summer with an increasingly thinner, first-year ice cover, the Arctic Ocean could be ice free in summer much sooner than anyone ever thought possible.
Without summer sea ice for hunting, polar bears will struggle to survive, if they do at all. For now, despite the challenges, bear populations are holding up in some areas. Durner said, “We haven’t measured a decline in the Beaufort Sea population, as researchers have observed in western Hudson Bay in Canada. But in the Beaufort Sea, we see a relationship between poorer body condition and low sea ice years, and lower survival following a year of reduced sea ice. These are the same conditions researchers observed just before the Western Hudson Bay population declined.”
Durner will go out on the ice next summer to see firsthand how the bears are faring. Then before the long, dark Arctic winter, he will return to land and use satellite data for a closer look at the cycle of sea ice in each bear habitat area. He said, “Having consistent passive microwave data since the 1970s has been so critical to our research over the past several years. If we didn’t have that data available, I don’t know where we would be.”
References
Comiso, J. C. 2006. Impacts of the variability of second-year ice types on the decline of the Arctic perennial sea-ice cover. Annals of Glaciology 44: 375-382.
Comiso, J. C., C. L. Parkinson, R. Gersten, and L. Stock. 2008. Accelerated decline in the Arctic sea ice cover. Geophysical Research Letters 35, L01703, doi:10.1029/2007GL031972.
Durner, G. M., D. C. Douglas, R. M. Nielson, S. C. Amstrup, T. L. McDonald, I. Stirling, M. Mauritzen, E. W. Born, Ø. Wiig, E. DeWeaver, M. C. Serreze, S. E. Belikov, M. M. Holland, J. Maslanik, J. Aars, D. A. Bailey, and A. E. Derocher. 2008. Predicting 21st century polar bear habitat distribution from global climate models. Ecological Monographs. In press.
For more information
NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC)
NASA Goddard Space Flight Center Cryospheric Sciences Branch: Josefino Comiso
Alaska Science Center: George Durner
Polar Bear Research at the Alaska Science Center
About the remote sensing data |
Satellites |
Aqua |
Nimbus-7, Defense Meteorological Satellite Program (DMSP) |
Sensor |
Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) |
Scanning Multichannel Microwave Radiometer (SMMR), Special Sensor Microwave/Imager (SSM/I) |
Data sets |
AMSR-E/Aqua Daily L3 12.5 km Brightness Temperature, Sea Ice Concentration, & Snow Depth Polar Grids |
Bootstrap Sea Ice Concentration from Nimbus-7 SMMR and DMSP SSM/I |
Resolution |
12.5 kilometer |
25 kilometer |
Parameters |
Brightness temperatures, sea ice concentration, snow cover over sea ice |
Brightness temperatures, ice extent, sea ice concentration |
DAACs |
NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC) |
NSIDC DAAC |