Hostname: page-component-78c5997874-g7gxr Total loading time: 0 Render date: 2024-11-19T17:57:18.688Z Has data issue: false hasContentIssue false

Assessing trends in Arctic sea-ice distribution in the Barents and Kara seas using the Kosmos–Okean satellite series

Published online by Cambridge University Press:  27 October 2009

Gennady I. Belchansky
Affiliation:
Institute of Evolutionary Morphology and Animal Ecology, Russian Academy of Sciences, Space Monitoring & Ecoinformation Systems Sector, Leninsky Prospect 33, Moscow 117071, Russia
Ilia N. Mordvintsev
Affiliation:
Institute of Evolutionary Morphology and Animal Ecology, Russian Academy of Sciences, Space Monitoring & Ecoinformation Systems Sector, Leninsky Prospect 33, Moscow 117071, Russia
Gregory K. Ovchinnikov
Affiliation:
Institute of Evolutionary Morphology and Animal Ecology, Russian Academy of Sciences, Space Monitoring & Ecoinformation Systems Sector, Leninsky Prospect 33, Moscow 117071, Russia
David C. Douglas
Affiliation:
Alaska Science Center, National Biological Service, 1011 East Tudor Road, Anchorage, Alaska 99503, USA

Abstract

Trends in the annual minimum sea-ice extent, determined by three criteria (absolute annual minimum, minimum monthly mean, and the extent at the end of August), were investigated for the Barents and western Kara seas and adjacent parts of the Arctic Ocean during 1984–1993. Four definitions of ice extent were examined, based on thresholds of ice concentration: >90%, >70%, >40%, and >10% (El, E2, E3, and E4, respectively). Trends were studied using ice maps produced by the Russian Hydro-Meteorological Service, Kosmos and Okean satellite imagery, and data extracted from published literature. During 1984–1993, an increasing trend in the extent of minimum sea-ice cover was observed in the Barents, Kara, and combined Barents–Kara seas, for all ice-extent definitions. Root-mean-square differences between hydro-meteorological ice maps and satellite-image ice classifications for coincident areas and dates were 15.5%, 19.3%, 18.8%, and 11.5%, for ice extensions El–E4, respectively. The differences were subjected to Monte Carlo analyses to construct confidence intervals for the 10-year ice-map trends. With probability p = 0.8, the average 10-year increase in the minimum monthly mean sea-ice extent (followed in brackets by the average increase in the absolute annual minimum ice extent) was 12–46% [26–96%], 31–71% [55–140%], 30–69% [26–94%], and 48–94% [35–108%] in the Barents Sea; 20–60% [32–120%], 10–45% [20–92%], 2–36% [13–78%], and 10–47% [8–69%] in the Kara Sea; and 9–43% [26–59%], 9–41% [30–63%], 8–41% [22–52%] and 15–51% [21–51%] in the combined Barents–Kara seas, for ice concentrations El–E4, respectively. Including published data from 1966–1983, the trend in minimum monthly mean sea-ice extent for the combined 28-year period showed an average reduction of 8% in the Barents Sea and a 55% reduction in the western Kara Sea; ice extent at the end of August showed an average reduction of 33% in the Barents Sea.

Type
Articles
Copyright
Copyright © Cambridge University Press 1995

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Aronoff, S.A. 1984. An approach to optimized labeling of image classes. Photogrammetric Engineering and Remote Sensing 50: 719721.Google Scholar
Belchansky, G.I., Douglas, D.C., and Ovchinnikov, G.K.. 1993. Obrabotka dannikh kosmicheskogo monitoringa dlya dokumentirovaniya parametrov sredi obitaniya mlekopitayuschih Arktiki [Spaceborne monitoring data processing to represent parameters of mammals' habitat in the Arctic]. Issledovanie Zemliiz Kosmosa 4: 4253.Google Scholar
Belchansky, G.I., and Pichugin, A.P.. 1991. Radar sensing of polar regions. In: Weller, G., Wilson, C.L., and Severin, B.B. (editors). International conference on the role of polar regions in global change. Fairbanks: Geophysical Institute, University of Alaska: 4757.Google Scholar
Cavalieri, D.J., Gloersen, P., and Campbell, W.J.. 1984. Determination of sea ice parameters with Nimbus-7 SMMR. Journal of Geophysical Research 89: 53555369.CrossRefGoogle Scholar
Forsythe, G.E., Malcolm, M.A., and Moler, C.B.. 1977. Computer methods for mathematical computations. Englewood Cliffs, New Jersey: Prentice-Hall.Google Scholar
Gloersen, P., and Campbell, W.J.. 1991. Variations of extent, area, and open water of the polar sea ice covers: 1978–1987. In: Weller, G., Wilson, C.L., and Severin, B.B. (editors). International conference on the role of polar regions in global change. Fairbanks: Geophysical Institute, University of Alaska: 2834.Google Scholar
Parkinson, C.L. 1991a. Strengths and weaknesses of sea ice as a potential early indicator of climate change. In: Weller, G., Wilson, C.L., and Severin, B.B. (editors). International conference on the role of polar regions in global change. Fairbanks: Geophysical Institute, University of Alaska: 1721.Google Scholar
Parkinson, C.L. 1991b. Interannual variability of monthly sea ice distributions in the north polar region. In: Weller, G., Wilson, C.L., and Severin, B.B. (editors). International conference on the role of polar regions in global change. Fairbanks: Geophysical Institute, University of Alaska: 7178.Google Scholar
Vinje, T. 1991. Sea ice variability in the nordic seas. In: Weller, G., Wilson, C.L., and Severin, B.B. (editors). International conference on the role of polar regions in global change. Fairbanks: Geophysical Institute, University of Alaska: 2327.Google Scholar
Zwally, H.J., Comiso, J.C., and Walsh, J.E.. 1991. Variability of Antarctic sea ice. In: Weller, G., Wilson, C.L., and Severin, B.B. (editors). International conference on the role of polar regions in global change. Fairbanks: Geophysical Institute, University of Alaska: 22.Google Scholar