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Freeze-up at Alert, Eureka, Isachsen, Mould Bay, and Resolute in the Canadian Arctic was observed to occur any time between the last week in August and the last week in September. A mathematical relationship between air temperature and sea-ice formation provided a favorable method for predicting the date of freeze-up at these stations. The maximum seasonal growth of sea ice, 269 cm, was measured at Isachsen; the minimum, 149 cm, was measured at Resolute. These values are based on measurements made at the five stations in the Canadian Arctic Archipelago having a total of 35 station years of record. Equations to predict the growth of sea ice by increments were derived empirically from the observations made at these locations. A separate term is introduced in the equations to take account of the effects of snow-cover depths on ice growth. To apply the formulas only air-temperature and snow-depth data are required. The study disclosed good correlation between air temperature and decrease in sea-ice thickness at the Arctic stations. The relationship was found to be: h = 0.55 sigma theta where h = decrease in ice thickness (cm) and sigma theta = accumulated degree days (above -1.8C). (Author).
Published by the American Geophysical Union as part of the Geophysical Monograph Series, Volume 180. This volume addresses the rapid decline of Arctic sea ice, placing recent sea ice decline in the context of past observations, climate model simulations and projections, and simple models of the climate sensitivity of sea ice. Highlights of the work presented here include An appraisal of the role played by wind forcing in driving the decline; A reconstruction of Arctic sea ice conditions prior to human observations, based on proxy data from sediments; A modeling approach for assessing the impact of sea ice decline on polar bears, used as input to the U.S. Fish and Wildlife Service's decision to list the polar bear as a threatened species under the Endangered Species Act; Contrasting studies on the existence of a "tipping point," beyond which Arctic sea ice decline will become (or has already become) irreversible, including an examination of the role of the small ice cap instability in global warming simulations; A significant summertime atmospheric response to sea ice reduction in an atmospheric general circulation model, suggesting a positive feedback and the potential for short-term climate prediction. The book will be of interest to researchers attempting to understand the recent behavior of Arctic sea ice, model projections of future sea ice loss, and the consequences of sea ice loss for the natural and human systems of the Arctic.
The issue of global warming and climate change is of continuous concern. Since the 1970s, it bas been shown that the pack-ice around the Arctic Ocean is thinning, the margin of permafrost is moving north and the vegetation in the high northern parts of the world is changing (the 'greening' of the Arctic). But are these changes the result of human activity or simply regular variations of the Earth's climate system? Over thousands of years, a continuous archive of iceberg and sea ice drift bas formed in the deep-sea sediments, revealing the place of the ice's origin and allowing a reconstruction of the surface currents and the climate of the past. However, the drift of floating ice from one place to another is not just a passive record of past ocean circulation. It actively influences and changes the surface ocean circulation, thus having a profound effect on climate change. Ice Drift, Ocean Circulation and Climate Change is the first book to focus on the interactions between ice, the ocean and the atmosphere and to describe how these three components of the climate system influence each other. It makes clear the positive contribution of paleoclimatology and paleoceanography and should be read by anyone concerned with global warming and climate change.
Considering the recent losses observed in Arctic sea-ice and the anticipatedfuture warming due to anthropogenic greenhouse gas emissions, sea-ice retreat in the Canadian Arctic Archipelago (CAA) is expected. As most global climate models do not resolve the CAA region, a fine-resolution regional model is developed to provide a sense of possiblechanges in the CAA sea-ice. This ice-ocean coupled model is forced withatmospheric data for two time-periods. Results from a historical run (1950-2004)are used to validate the model. The model does well in representing observedsea-ice spatial and seasonal variability, but tends to underestimate summertimeice cover. In the future run (2041-2060), wintertime ice concentrations changelittle, but the summertime ice concentrations decrease by 45%. The icethickness also decreases, by 17% in the winter, and by 36% in summer. Based on this study, a completely ice-free CAA is unlikely by the year 2050,but the region could support some commercial shipping.