Characterizing Arctic sea ice topography using high-resolution IceBridge data

被引:35
|
作者
Petty, Alek A. [1 ,2 ]
Tsamados, Michel C. [3 ]
Kurtz, Nathan T. [2 ]
Farrell, Sinead L. [1 ,2 ,4 ]
Newman, Thomas [1 ,4 ]
Harbeck, Jeremy P. [2 ]
Feltham, Daniel L. [5 ]
Richter-Menge, Jackie A. [6 ]
机构
[1] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA
[2] NASA, Cryospher Sci Lab, Goddard Space Flight Ctr, Greenbelt, MD USA
[3] UCL, Dept Earth Sci, Ctr Polar Observat & Modelling, London, England
[4] NOAA, Ctr Weather & Climate Predict, College Pk, MD USA
[5] Univ Reading, Dept Meteorol, Ctr Polar Observat & Modelling, Reading, Berks, England
[6] Cold Reg Res & Engn Lab, Hanover, NH USA
来源
CRYOSPHERE | 2016年 / 10卷 / 03期
关键词
SNOW DEPTH; FORM DRAG; VARIABILITY; THICKNESS; DISTRIBUTIONS; SIMULATIONS; MORPHOLOGY; GREENLAND; STRESS; RIDGES;
D O I
10.5194/tc-10-1161-2016
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
We present an analysis of Arctic sea ice topography using high-resolution, three-dimensional surface elevation data from the Airborne Topographic Mapper, flown as part of NASA's Operation IceBridge mission. Surface features in the sea ice cover are detected using a newly developed surface feature picking algorithm. We derive information regarding the height, volume and geometry of surface features from 2009 to 2014 within the Beaufort/Chukchi and Central Arctic regions. The results are delineated by ice type to estimate the topographic variability across first-year and multi-year ice regimes. The results demonstrate that Arctic sea ice topography exhibits significant spatial variability, mainly driven by the increased surface feature height and volume (per unit area) of the multi-year ice that dominates the Central Arctic region. The multi-year ice topography exhibits greater interannual variability compared to the first-year ice regimes, which dominates the total ice topography variability across both regions. The ice topography also shows a clear coastal dependency, with the feature height and volume increasing as a function of proximity to the nearest coastline, especially north of Greenland and the Canadian Archipelago. A strong correlation between ice topography and ice thickness (from the IceBridge sea ice product) is found, using a square-root relationship. The results allude to the importance of ice deformation variability in the total sea ice mass balance, and provide crucial information regarding the tail of the ice thickness distribution across the western Arctic. Future research priorities associated with this new data set are presented and discussed, especially in relation to calculations of atmospheric form drag.
引用
收藏
页码:1161 / 1179
页数:19
相关论文
共 50 条
  • [1] Classification of Sea Ice Summer Melt Features in High-Resolution IceBridge Imagery
    Buckley, Ellen M.
    Farrell, Sinead L.
    Duncan, Kyle
    Connor, Laurence N.
    Kuhn, John M.
    Dominguez, RoseAnne T.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2020, 125 (05)
  • [2] Characterization of Arctic Sea Ice Thickness Using High-Resolution Spaceborne Polarimetric SAR Data
    Kim, Jin-Woo
    Kim, Duk-jin
    Hwang, Byong Jun
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2012, 50 (01): : 13 - 22
  • [3] A First Assessment of IceBridge Snow and Ice Thickness Data Over Arctic Sea Ice
    Farrell, Sinead Louise
    Kurtz, Nathan
    Connor, Laurence N.
    Elder, Bruce C.
    Leuschen, Carlton
    Markus, Thorsten
    McAdoo, David C.
    Panzer, Ben
    Richter-Menge, Jacqueline
    Sonntag, John G.
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2012, 50 (06): : 2098 - 2111
  • [4] Prediction of Arctic Temperature and Sea Ice Using a High-Resolution Coupled Model
    Chang, Le
    Luo, Jing-Jia
    Xue, Jiaqing
    Xu, Haiming
    Dunstone, Nick
    [J]. JOURNAL OF CLIMATE, 2021, 34 (08) : 2905 - 2922
  • [5] On the future navigability of Arctic sea routes: High-resolution projections of the Arctic Ocean and sea ice
    Aksenov, Yevgeny
    Popova, Ekaterina E.
    Yool, Andrew
    Nurser, A. J. George
    Williams, Timothy D.
    Bertino, Laurent
    Bergh, Jon
    [J]. MARINE POLICY, 2017, 75 : 300 - 317
  • [6] Data-driven surrogate modeling of high-resolution sea-ice thickness in the Arctic
    Durand, Charlotte
    Finn, Tobias Sebastian
    Farchi, Alban
    Bocquet, Marc
    Boutin, Guillaume
    Olason, Einar
    [J]. CRYOSPHERE, 2024, 18 (04): : 1791 - 1815
  • [7] Impact of mesoscale ocean currents on sea ice in high-resolution Arctic ice and ocean simulations
    Zhang, YX
    Maslowski, W
    Semtner, AJ
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1999, 104 (C8) : 18409 - 18429
  • [8] Declassified high-resolution visible imagery for Arctic sea ice investigations: An overview
    Kwok, Ron
    [J]. REMOTE SENSING OF ENVIRONMENT, 2014, 142 : 44 - 56
  • [10] Arctic Sea Ice Freeboard Estimation and Variations From Operation IceBridge
    Zhang, Shengkai
    Geng, Tong
    Zhu, Chaohui
    Li, Jiaxing
    Li, Xiao
    Zhu, Benxin
    Liu, Laixing
    Xiao, Feng
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60