Arctic sea ice variability and trends, 1979–2006

Published on Jul 1, 2008in Journal of Geophysical Research3.23
· DOI :10.1029/2007JC004558
Claire L. Parkinson39
Estimated H-index: 39
(GSFC: Goddard Space Flight Center),
Donald J. Cavalieri41
Estimated H-index: 41
(GSFC: Goddard Space Flight Center)
Analyses of 28 years (1979-2006) of Antarctic sea ice extents and areas derived from satellite passive microwave radiometers are presented and placed in the context of results obtained previously for the 20-year period 1979-1998. We present monthly averaged sea ice extents and areas, monthly deviations, yearly and seasonal averages, and their trends for the Southern Hemisphere as a whole and for each of five sectors: the Weddell Sea, the Indian Ocean, the western Pacific Ocean, the Ross Sea, and the Bellingshausen/Amundsen seas. The total Antarctic sea ice extent trend increased slightly, from 0.96 ± 0.61% decade -1 to 1.0 ± 0.4% decade -1 , from the 20- to 28-year period, reflecting contrasting changes in the sector trends. The eight additional years resulted in smaller positive yearly trends in sea ice extent for the Weddell Sea (0.80 ± 1.4% decade -1 ), the western Pacific Ocean (1.4 ± 1.9% decade -1 ), and the Ross Sea (4.4 ± 1.7% decade -1 ) sectors, a lessening of the negative trend for the Bellingshausen/ Amundsen seas (-5.4 ± 1.9% decade -1 ) sector, and a shift from a negative trend to a positive trend for the Indian Ocean (1.9 ± 1.4% decade -1 ) sector. The trends for the Southern Hemisphere as a whole and for the Ross Sea sector are significant at the 95% level, whereas the trend for the Bellingshausen/Amundsen seas sector is significant at the 99% level. A similar pattern of yearly trend changes for the two periods is also apparent in the sea ice area time series.
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Cited By283
Published on Feb 25, 2019in Scientific Reports4.01
Yushi Morioka10
Estimated H-index: 10
(JAMSTEC: Japan Agency for Marine-Earth Science and Technology),
Yushi Morioka1
Estimated H-index: 1
(JAMSTEC: Japan Agency for Marine-Earth Science and Technology)
+ 2 AuthorsSwadhin K. Behera39
Estimated H-index: 39
(JAMSTEC: Japan Agency for Marine-Earth Science and Technology)
Potential impact of sea-ice initialization on the interannual climate predictability over the Weddell Sea is investigated using a coupled general circulation model. Climate variability in the Weddell Sea is generally believed to have association with remote forcing such as El Nino-Southern Oscillation and the Southern Annual Mode. However, sea-ice variability in the Weddell Sea has been recently suggested to play additional roles in modulating local atmospheric variability through changes in sur...
Published on Jul 23, 2019in Journal of Geophysical Research3.23
Colten Peterson (UM: University of Michigan), Xiuhong Chen7
Estimated H-index: 7
(UM: University of Michigan)
+ 1 AuthorsXianglei Huang16
Estimated H-index: 16
(UM: University of Michigan)
Published on May 17, 2019in Journal of Geophysical Research3.23
Dagmar Budikova6
Estimated H-index: 6
Trent W. Ford6
Estimated H-index: 6
(SIU: Southern Illinois University Carbondale)
+ 0 AuthorsThomas J. Ballinger6
Estimated H-index: 6
Published on Mar 27, 2019in Journal of Geophysical Research3.23
Yunhe Wang1
Estimated H-index: 1
(CAS: Chinese Academy of Sciences),
Xiaojun Yuan20
Estimated H-index: 20
(LDEO: Lamont–Doherty Earth Observatory)
+ 4 AuthorsYanxia Liu4
Estimated H-index: 4
(CAS: Chinese Academy of Sciences)
Published on May 15, 2019in Atmosphere-ocean1.17
Shabnam Jafarikhasragh (UM: University of Manitoba), Jennifer V. Lukovich12
Estimated H-index: 12
(UM: University of Manitoba)
+ 3 AuthorsDavid G. Barber37
Estimated H-index: 37
(UM: University of Manitoba)
ABSTRACTSea surface temperature (SST) from four Nucleus for European Modelling of the Ocean (NEMO) model simulations is analyzed to study the bulk flux parameterization to compute SST over the Hudson Bay Complex (HBC) for the summer months (August and September) from 2002 to 2009. The NEMO simulation was forced with two atmospheric forcing sets with different resolutions: the Coordinated Ocean-ice Reference Experiment, version 2 (COREv2), as the lower resolution and the Canadian Meteorological C...
Published on Jan 28, 2019in Geophysical Research Letters4.58
Wei Liu1
Estimated H-index: 1
(UCR: University of California, Riverside),
Alexey V. Fedorov27
Estimated H-index: 27
(Yale University)
Published on Dec 23, 2018in Water2.52
This study is based on the daily sea ice concentration data from the National Snow and Ice Data Center (NSIDC; Cooperative Institute for Research in Environmental Sciences (CIRES), Boulder, CO, USA) from 1979 to 2016. The Arctic sea ice is analyzed from the total sea ice area, first year ice extent, multiyear ice area, and the variability of sea ice concentration in different ranges. The results show that the total sea ice area decreased by 0.0453 × 106 km2·year−1 (−0.55%/year) between 1979 and ...
Published on Dec 13, 2018in Journal of Geophysical Research3.23
Nathan Grivault1
Estimated H-index: 1
(U of A: University of Alberta),
Xianmin Hu7
Estimated H-index: 7
(U of A: University of Alberta),
Paul G. Myers22
Estimated H-index: 22
(U of A: University of Alberta)
Published on Oct 1, 2018in Polar Biology2.00
Krista A. Kenyon (UM: University of Manitoba), David J. Yurkowski10
Estimated H-index: 10
(UM: University of Manitoba)
+ 2 AuthorsSteven H. Ferguson32
Estimated H-index: 32
Arctic pack ice structure and extent have been changing due to warming. Thus, understanding important habitat features for marine mammals that depend on sea ice, such as narwhal (Monodon monoceros), during winter will provide insight into impacts of future changes within the pack ice. The objective of this study was to determine narwhal habitat selection for bathymetry, sea ice concentration, thickness, and floe size during the winter season. Nineteen narwhals were equipped with SPLASH tags in A...
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