模拟2000-2018年北极多年海冰的演变

IF 4.4 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL Cryosphere Pub Date : 2023-05-08 DOI:10.5194/tc-17-1873-2023
H. Regan, P. Rampal, Einar Örn Ólason, Guillaume Boutin, A. Korosov
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引用次数: 1

摘要

摘要几十年来,人们一直在使用越来越复杂的遥感技术监测北极的多年海冰覆盖情况,这些技术记录了多年海冰覆盖率随时间的推移显著下降。然而,这种技术无法区分影响MYI进化的过程。此外,估计MYI的厚度和体积仍然具有挑战性。在这项研究中,我们使用海冰-海洋模型来调查2000-2008年期间MYI的变化。我们利用海冰模型的拉格朗日框架,引入了一种新的跟踪MYI面积和体积的方法,该方法基于识别每年秋季结冰期间的MYI。该模型成功地再现了观测到的MYI范围的空间分布和演化。我们讨论了与MYI覆盖率普遍下降相关的过程平衡(融化、隆起、出口和补充)。该模型表明,MYI的不同来源和汇之间存在偶发性失衡,而不是一个过程主导损失。我们确定了2007年和2012年出现显著下降的关键因素;虽然融化和补给在2012年很重要,但海冰动力学在2007年发挥了重要作用。值得注意的是,该模型表明,在2007年等年份,通过隆起,冰的汇聚可以导致多年平均气温面积的大幅减少,而不会造成多年平均气温量的相应损失。这突出了在卫星观测的同时使用模型来帮助解释观测到的北极MYI演变的好处。
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Modelling the evolution of Arctic multiyear sea ice over 2000–2018
Abstract. Multiyear sea ice (MYI) cover in the Arctic has been monitored for decades using increasingly sophisticated remote sensing techniques, and these have documented a significant decline in MYI over time. However, such techniques are unable to differentiate between the processes affecting the evolution of the MYI. Further, estimating the thickness and thus the volume of MYI remains challenging. In this study we employ a sea ice–ocean model to investigate the changes to MYI over the period 2000–2018. We exploit the Lagrangian framework of the sea ice model to introduce a new method of tracking MYI area and volume which is based on identifying MYI during freeze onset each autumn. The model is found to successfully reproduce the spatial distribution and evolution of observed MYI extent. We discuss the balance of the processes (melt, ridging, export, and replenishment) linked to the general decline in MYI cover. The model suggests that rather than one process dominating the losses, there is an episodic imbalance between the different sources and sinks of MYI. We identify those key to the significant observed declines in 2007 and 2012; while melt and replenishment are important in 2012, sea ice dynamics play a significant role in 2007. Notably, the model suggests that in years such as 2007, convergence of the ice, through ridging, can result in large reductions in MYI area without a corresponding loss of MYI volume. This highlights the benefit of using models alongside satellite observations to aid interpretation of the observed MYI evolution in the Arctic.
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来源期刊
Cryosphere
Cryosphere GEOGRAPHY, PHYSICAL-GEOSCIENCES, MULTIDISCIPLINARY
CiteScore
8.70
自引率
17.30%
发文量
240
审稿时长
4-8 weeks
期刊介绍: The Cryosphere (TC) is a not-for-profit international scientific journal dedicated to the publication and discussion of research articles, short communications, and review papers on all aspects of frozen water and ground on Earth and on other planetary bodies. The main subject areas are the following: ice sheets and glaciers; planetary ice bodies; permafrost and seasonally frozen ground; seasonal snow cover; sea ice; river and lake ice; remote sensing, numerical modelling, in situ and laboratory studies of the above and including studies of the interaction of the cryosphere with the rest of the climate system.
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