A year-round satellite sea-ice thickness record from CryoSat-2

被引:0
|
作者
Jack C. Landy
Geoffrey J. Dawson
Michel Tsamados
Mitchell Bushuk
Julienne C. Stroeve
Stephen E. L. Howell
Thomas Krumpen
David G. Babb
Alexander S. Komarov
Harry D. B. S. Heorton
H. Jakob Belter
Yevgeny Aksenov
机构
[1] University of Tromsø The Arctic University of Norway,Centre for Integrated Remote Sensing and Forecasting for Arctic Operations, Department of Physics and Technology
[2] University of Bristol,Bristol Glaciology Centre, School of Geographical Sciences
[3] University College London,Centre for Polar Observation and Modelling, Department of Earth Sciences
[4] National Oceanic and Atmospheric Administration/Geophysical Fluid Dynamics Laboratory,Centre for Earth Observation Science
[5] University of Manitoba,Environment and Climate Change Canada
[6] Climate Research Division,Alfred Wegener Institute
[7] Helmholtz Centre for Polar and Marine Research,Environment and Climate Change Canada
[8] Meteorological Research Division,Marine Systems Modelling Group
[9] National Oceanography Centre,undefined
来源
Nature | 2022年 / 609卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Arctic sea ice is diminishing with climate warming1 at a rate unmatched for at least 1,000 years2. As the receding ice pack raises commercial interest in the Arctic3, it has become more variable and mobile4, which increases safety risks to maritime users5. Satellite observations of sea-ice thickness are currently unavailable during the crucial melt period from May to September, when they would be most valuable for applications such as seasonal forecasting6, owing to major challenges in the processing of altimetry data7. Here we use deep learning and numerical simulations of the CryoSat-2 radar altimeter response to overcome these challenges and generate a pan-Arctic sea-ice thickness dataset for the Arctic melt period. CryoSat-2 observations capture the spatial and the temporal patterns of ice melting rates recorded by independent sensors and match the time series of sea-ice volume modelled by the Pan-Arctic Ice Ocean Modelling and Assimilation System reanalysis8. Between 2011 and 2020, Arctic sea-ice thickness was 1.87 ± 0.10 m at the start of the melting season in May and 0.82 ± 0.11 m by the end of the melting season in August. Our year-round sea-ice thickness record unlocks opportunities for understanding Arctic climate feedbacks on different timescales. For instance, sea-ice volume observations from the early summer may extend the lead time of skilful August–October sea-ice forecasts by several months, at the peak of the Arctic shipping season.
引用
收藏
页码:517 / 522
页数:5
相关论文
共 50 条
  • [1] A year-round satellite sea-ice thickness record from CryoSat-2
    Landy, Jack C.
    Dawson, Geoffrey J.
    Tsamados, Michel
    Bushuk, Mitchell
    Stroeve, Julienne C.
    Howell, Stephen E. L.
    Krumpen, Thomas
    Babb, David G.
    Komarov, Alexander S.
    Heorton, Harry D. B. S.
    Belter, H. Jakob
    Aksenov, Yevgeny
    NATURE, 2022, 609 (7927) : 517 - +
  • [2] A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data
    Ricker, Robert
    Hendricks, Stefan
    Kaleschke, Lars
    Tian-Kunze, Xiangshan
    King, Jennifer
    Haas, Christian
    CRYOSPHERE, 2017, 11 (04): : 1607 - 1623
  • [3] Arctic sea ice thickness variations from CryoSat-2 satellite altimetry data
    Xiao, Feng
    Zhang, Shengkai
    Li, Jiaxing
    Geng, Tong
    Xuan, Yue
    Li, Fei
    SCIENCE CHINA-EARTH SCIENCES, 2021, 64 (07) : 1080 - 1089
  • [4] Arctic sea ice thickness variations from CryoSat-2 satellite altimetry data
    Feng Xiao
    Shengkai Zhang
    Jiaxing Li
    Tong Geng
    Yue Xuan
    Fei Li
    Science China Earth Sciences, 2021, 64 : 1080 - 1089
  • [5] Arctic sea ice thickness variations from CryoSat-2 satellite altimetry data
    Feng XIAO
    Shengkai ZHANG
    Jiaxing LI
    Tong GENG
    Yue XUAN
    Fei LI
    Science China(Earth Sciences), 2021, 64 (07) : 1080 - 1089
  • [6] Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis
    Xie, Jiping
    Counillon, Francois
    Bertino, Laurent
    CRYOSPHERE, 2018, 12 (11): : 3671 - 3691
  • [7] New insight from CryoSat-2 sea ice thickness for sea ice modelling
    Schroeder, David
    Feltham, Danny L.
    Tsamados, Michel
    Ridout, Andy
    Tilling, Rachel
    CRYOSPHERE, 2019, 13 (01): : 125 - 139
  • [8] Variability of Arctic sea ice thickness and volume from CryoSat-2
    Kwok, R.
    Cunningham, G. F.
    PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2015, 373 (2045):
  • [9] IMPROVED RETRIEVAL OF SEA ICE THICKNESS FROM SMOS AND CRYOSAT-2
    Kaleschke, Lars
    Tian-Kunze, Xiangshan
    Maass, Nina
    Ricker, Robert
    Hendricks, Stefan
    Drusch, Matthias
    2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 5232 - 5235
  • [10] A climate data record of year-round global sea-ice drift from the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF)
    Lavergne, Thomas
    Down, Emily
    EARTH SYSTEM SCIENCE DATA, 2023, 15 (12) : 5807 - 5834