Arctic sea ice variability and trends, 1979–2006

Published on Jul 1, 2008in Journal of Geophysical Research3.235
· DOI :10.1029/2007JC004558
Claire L. Parkinson39
Estimated H-index: 39
(GSFC: Goddard Space Flight Center),
Donald J. Cavalieri44
Estimated H-index: 44
(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.
  • References (53)
  • Citations (54)
📖 Papers frequently viewed together
12.6k Citations
847 Citations
1,151 Citations
78% of Scinapse members use related papers. After signing in, all features are FREE.
Cited By54
#1Xinqing LiH-Index: 3
#2Mohammed ShokrH-Index: 7
Last. Xiao ChengH-Index: 19
view all 9 authors...
Abstract Landfast ice is an important component of the Antarctic sea ice regime. It affects the Antarctic climate and ecological system. In this study, the first high-resolution, long time series of the landfast ice edge from 2006 to 2011 and 2016 to 2017 is presented. The dataset was produced based on the improved net gradient difference algorithm using 2470 SAR scenes from ENVISAT and Sentinel-1A/B as well as manual analysis of MODIS imagery to fill in SAR data gaps. The study results show tha...
#1Miae Kim (UNIST: Ulsan National Institute of Science and Technology)
#1Miae KimH-Index: 5
Last. Hyangsun HanH-Index: 8
view all 5 authors...
Abstract Landfast sea ice (fast ice) is an important feature prevalent around the Antarctic coast, which is affected by climate change and energy exchanges with the atmosphere and ocean. This study proposed a method for detection of the West Antarctic fast ice using the Advanced Land Observing Satellite Phased Array L-band SAR (ALOS PALSAR) images. The algorithm has combined image segmentation, image correlation analysis, and machine learning techniques (i.e., random forest (RF), extremely rando...
#1Renguang Wu (CAS: Chinese Academy of Sciences)H-Index: 37
#2Yuqi Wang (CAS: Chinese Academy of Sciences)
#1Francis X. Diebold (UPenn: University of Pennsylvania)H-Index: 77
view all 5 authors...
The diminishing extent of Arctic sea ice is a key indicator of climate change as well as an accelerant for future global warming. Since 1978, Arctic sea ice has been measured using satellite-based microwave sensing; however, different measures of Arctic sea ice extent have been made available based on differing algorithmic transformations of the raw satellite data. We propose and estimate a dynamic factor model that combines four of these measures in an optimal way that accounts for their differ...
#1Takahiro Toyoda (JMA: Japan Meteorological Agency)H-Index: 12
#1Takahiro Toyoda (JMA: Japan Meteorological Agency)H-Index: 19
Last. Goro Yamanaka (JMA: Japan Meteorological Agency)H-Index: 8
view all 10 authors...
Abstract Albedo parameterization is of fundamental importance for accurate representation of high-latitude climate variability by modeling studies. Field observations show that near-infrared snow albedo decreases dramatically when surface air temperature exceeds –2 °C. This can influence reproduction of sea ice simulations taking into consideration the importance of the drastic change in albedo in early melt season for the seasonal change of sea ice extent. Therefore, we conducted global ocean d...
#1Wenshen Xiao (Tongji University)H-Index: 5
#2Leonid Polyak (OSU: Ohio State University)H-Index: 40
Last. Xiaobo Jin (Tongji University)
view all 9 authors...
Abstract Three sediment cores from the Makarov Basin and Mendeleev Ridge off the Siberian margin were analyzed for a number of litho-, bio- and magnetostratigraphic proxies. Correlation to previously studied Arctic records from Mendeleev to Lomonosov ridges enables paleoceanographic reconstructions for the Middle to Late Pleistocene (estimated ∼0.8 Ma) on orbital time scales. Cyclic changes in lithology corroborated by multiple stratigraphic constraints were tuned to global climate variations ba...
#1Leonid P. BobylevH-Index: 12
#2Martin W. Miles (INSTAAR: Institute of Arctic and Alpine Research)H-Index: 1
#1K. A. Kalavichchi (SPbU: Saint Petersburg State University)
#2I. Bashmachnikov (SPbU: Saint Petersburg State University)H-Index: 12
This paper presents a study the interannual variability of the convergence oceanic and atmospheric advective heat fluxes in the Barents Sea region for 1993–2014, using combined in situ, satellite and numerical model-based oceanic and atmospheric data-sets: ARMOR-3D and ERA-Interim. On inter-decadal scales, the leading role of convergence of the oceanic heat flux, and on interannual scale – of atmospheric heat flux are demonstrated to play the leading role in variations of the sea-ice area of the...
#1Eiji Watanabe (JAMSTEC: Japan Agency for Marine-Earth Science and Technology)H-Index: 5
#2Meibing Jin (UAF: University of Alaska Fairbanks)H-Index: 14
Last. Nadja Steiner (Fisheries and Oceans Canada)H-Index: 11
view all 5 authors...
Seasonal, interannual, and decadal variations in the Arctic ice‐algal productivity for 1980–2009 are investigated using daily outputs from five sea ice‐ocean ecosystem models participating in the Forum for Arctic Modeling and Observational Synthesis project. The models show a shelf‐basin contrast in the spatial distribution of ice‐algal productivity (ice‐PP). The simulated ice‐PP substantially varies among the four subregions (Chukchi Sea, Canada Basin, Eurasian Basin, and Barents Sea) and among...
1 CitationsSource