scholarly journals Arctic Sea Ice Volume Export Through Fram Strait From 1992 to 2014

2020 ◽  
Vol 125 (6) ◽  
Author(s):  
Gunnar Spreen ◽  
Laura Steur ◽  
Dmitry Divine ◽  
Sebastian Gerland ◽  
Edmond Hansen ◽  
...  
Keyword(s):  
Sea Ice ◽  
Arctic Sea Ice ◽  
Fram Strait ◽  
Ice Volume ◽  
Arctic Sea

Arctic sea ice volume export through the Fram Strait from combined satellite and model data: 1979–2012

2017 ◽  
Vol 36 (1) ◽  
pp. 44-55 ◽  
Author(s):  
Zehua Zhang ◽  
Haibo Bi ◽  
Ke Sun ◽  
Haijun Huang ◽  
Yanxia Liu ◽  
...  
Keyword(s):  
Sea Ice ◽  
Arctic Sea Ice ◽  
Fram Strait ◽  
Model Data ◽  
Ice Volume ◽  
Arctic Sea

Arctic sea ice volume budget decomposition satellite product for the CryoSat-2 (2010-2020) period 

2021 ◽  
Author(s):  
Harry Heorton ◽  
Michel Tsamados ◽  
Paul Holland ◽  
Jack Landy
Keyword(s):  
Sea Ice ◽  
Climate Model ◽  
Volume Growth ◽  
Arctic Sea Ice ◽  
First Year ◽  
Sea Ice Concentration ◽  
Marginal Seas ◽  
Ice Volume ◽  
Arctic Sea ◽  
Ice Concentration

<p><span>We combine satellite-derived observations of sea ice concentration, drift, and thickness to provide the first observational decomposition of the dynamic (advection/divergence) and thermodynamic (melt/growth) drivers of wintertime Arctic sea ice volume change. Ten winter growth seasons are analyzed over the CryoSat-2 period between October 2010 and April 2020. Sensitivity to several observational products is performed to provide an estimated uncertainty of the budget calculations. The total thermodynamic ice volume growth and dynamic ice losses are calculated with marked seasonal, inter-annual and regional variations</span><span>. Ice growth is fastest during Autumn, in the Marginal Seas and over first year ice</span><span>. Our budget decomposition methodology can help diagnose the processes confounding climate model predictions of sea ice. We make our product and code available to the community in monthly pan-Arctic netcdft files for the entire October 2010 to April 2020 period.</span></p>

scholarly journals Retrievals of Arctic Sea-Ice Volume and Its Trend Significantly Affected by Interannual Snow Variability

2018 ◽  
Vol 45 (21) ◽  
pp. 11,751-11,759 ◽  
Author(s):  
Felix Bunzel ◽  
Dirk Notz ◽  
Leif Toudal Pedersen
Keyword(s):  
Sea Ice ◽  
Arctic Sea Ice ◽  
Ice Volume ◽  
Arctic Sea

scholarly journals Recent wind driven high sea ice export in the Fram Strait contributes to Arctic sea ice decline

2011 ◽  
Vol 5 (3) ◽  
pp. 1311-1334 ◽  
Author(s):  
L. H. Smedsrud ◽  
A. Sirevaag ◽  
K. Kloster ◽  
A. Sorteberg ◽  
S. Sandven
Keyword(s):  
Sea Ice ◽  
Geostrophic Wind ◽  
Reanalysis Data ◽  
Arctic Sea Ice ◽  
Fram Strait ◽  
Storm Tracking ◽  
Steady Rate ◽  
Ice Drift ◽  
Arctic Sea ◽  
Radar Satellite

Abstract. Arctic sea ice area decrease has been visible for two decades, and continues at a steady rate. Apart from melting, the southward drift through Fram Strait is the main loss. We present high resolution sea ice drift across 79&deg N from 2004 to 2010. The ice drift is based on radar satellite data and correspond well with variability in local geostrophic wind. The underlying current contributes with a constant southward speed close to 5 cm s−1, and drives about 33 % of the ice export. We use geostrophic winds derived from reanalysis data to calculate the Fram Strait ice area export back to 1957, finding that the sea ice area export recently is about 25 % larger than during the 1960's. The increase in ice export occurred mostly during winter and is directly connected to higher southward ice drift velocities, due to stronger geostrophic winds. The increase in ice drift is large enough to counteract a decrease in ice concentration of the exported sea ice. Using storm tracking we link changes in geostrophic winds to more intense Nordic Sea low pressure systems. Annual sea ice export likely has a significant influence on the summer sea ice variability and we find low values in the 60's, the late 80's and 90's, and particularly high values during 2005–2008. The study highlight the possible role of variability in ice export as an explanatory factor for understanding the dramatic loss of Arctic sea ice the last decades.

scholarly journals Multidecadal Arctic sea ice thickness and volume derived from ice age

2020 ◽  
Vol 14 (4) ◽  
pp. 1325-1345 ◽  
Author(s):  
Yinghui Liu ◽  
Jeffrey R. Key ◽  
Xuanji Wang ◽  
Mark Tschudi
Keyword(s):  
Sea Ice ◽  
Global Climate ◽  
Arctic Sea Ice ◽  
Ice Age ◽  
The Arctic ◽  
Ice Thickness ◽  
Sea Ice Thickness ◽  
Ice Volume ◽  
Arctic Sea ◽  
Arctic Sea Ice Thickness

Abstract. Sea ice is a key component of the Arctic climate system, and has impacts on global climate. Ice concentration, thickness, and volume are among the most important Arctic sea ice parameters. This study presents a new record of Arctic sea ice thickness and volume from 1984 to 2018 based on an existing satellite-derived ice age product. The relationship between ice age and ice thickness is first established for every month based on collocated ice age and ice thickness from submarine sonar data (1984–2000) and ICESat (2003–2008) and an empirical ice growth model. Based on this relationship, ice thickness is derived for the entire time period from the weekly ice age product, and the Arctic monthly sea ice volume is then calculated. The ice-age-based thickness and volume show good agreement in terms of bias and root-mean-square error with submarine, ICESat, and CryoSat-2 ice thickness, as well as ICESat and CryoSat-2 ice volume, in February–March and October–November. More detailed comparisons with independent data from Envisat for 2003 to 2010 and CryoSat-2 from CPOM, AWI, and NASA GSFC (Goddard Space Flight Center) for 2011 to 2018 show low bias in ice-age-based thickness. The ratios of the ice volume uncertainties to the mean range from 21 % to 29 %. Analysis of the derived data shows that the ice-age-based sea ice volume exhibits a decreasing trend of −411 km3 yr−1 from 1984 to 2018, stronger than the trends from other datasets. Of the factors affecting the sea ice volume trends, changes in sea ice thickness contribute more than changes in sea ice area, with a contribution of at least 80 % from changes in sea ice thickness from November to May and nearly 50 % in August and September, while less than 30 % is from changes in sea ice area in all months.

scholarly journals Intensification of the Atlantic Water Supply to the Arctic Ocean Through Fram Strait Induced by Arctic Sea Ice Decline

2020 ◽  
Vol 47 (3) ◽  
Author(s):  
Qiang Wang ◽  
Claudia Wekerle ◽  
Xuezhu Wang ◽  
Sergey Danilov ◽  
Nikolay Koldunov ◽  
...  
Keyword(s):  
Sea Ice ◽  
Water Supply ◽  
Arctic Ocean ◽  
Atlantic Water ◽  
Arctic Sea Ice ◽  
The Arctic ◽  
Fram Strait ◽  
Sea Ice Decline ◽  
Arctic Sea ◽  
The Arctic Ocean

scholarly journals Observations of recent Arctic sea ice volume loss and its impact on ocean-atmosphere energy exchange and ice production

2011 ◽  
Vol 116 (C4) ◽  
Author(s):  
N. T. Kurtz ◽  
T. Markus ◽  
S. L. Farrell ◽  
D. L. Worthen ◽  
L. N. Boisvert
Keyword(s):  
Sea Ice ◽  
Energy Exchange ◽  
Arctic Sea Ice ◽  
Volume Loss ◽  
Ice Volume ◽  
Arctic Sea ◽  
Ocean Atmosphere ◽  
Ice Production

scholarly journals Arctic Sea Ice Volume Variability over 1901–2010: A Model-Based Reconstruction

2019 ◽  
Vol 32 (15) ◽  
pp. 4731-4752 ◽  
Author(s):  
Axel J. Schweiger ◽  
Kevin R. Wood ◽  
Jinlun Zhang
Keyword(s):  
Twentieth Century ◽  
Sea Ice ◽  
Arctic Sea Ice ◽  
Ocean Modeling ◽  
The Arctic ◽  
Error Statistics ◽  
Atlantic Sector ◽  
Ice Volume ◽  
Sea Ice Decline ◽  
Arctic Sea

Abstract PIOMAS-20C, an Arctic sea ice reconstruction for 1901–2010, is produced by forcing the Pan-Arctic Ice Ocean Modeling and Assimilation System (PIOMAS) with ERA-20C atmospheric data. ERA-20C performance over Arctic sea ice is assessed by comparisons with measurements and data from other reanalyses. ERA-20C performs similarly with respect to the annual cycle of downwelling radiation, air temperature, and wind speed compared to reanalyses with more extensive data assimilation such as ERA-Interim and MERRA. PIOMAS-20C sea ice thickness and volume are then compared with in situ and aircraft remote sensing observations for the period of ~1950–2010. Error statistics are similar to those for PIOMAS. We compare the magnitude and patterns of sea ice variability between the first half of the twentieth century (1901–40) and the more recent period (1980–2010), both marked by sea ice decline in the Arctic. The first period contains the so-called early-twentieth-century warming (ETCW; ~1920–40) during which the Atlantic sector saw a significant decline in sea ice volume, but the Pacific sector did not. The sea ice decline over the 1979–2010 period is pan-Arctic and 6 times larger than the net decline during the 1901–40 period. Sea ice volume trends reconstructed solely from surface temperature anomalies are smaller than PIOMAS-20C, suggesting that mechanisms other than warming, such as changes in ice motion and deformation, played a significant role in determining sea ice volume trends during both periods.

scholarly journals Correction to: Impacts of extratropical storm tracks on Arctic sea ice export through Fram Strait

2019 ◽  
Vol 53 (3-4) ◽  
pp. 2481-2481
Author(s):  
Jianfen Wei ◽  
Xiangdong Zhang ◽  
Zhaomin Wang
Keyword(s):  
Sea Ice ◽  
Arctic Sea Ice ◽  
Storm Tracks ◽  
Fram Strait ◽  
Arctic Sea
Sign in / Sign up

Export Citation Format

Share Document