DOI: 10.1002/2016GL068696
论文题名: Sea ice leads in the Arctic Ocean: Model assessment, interannual variability and trends
作者: Wang Q. ; Danilov S. ; Jung T. ; Kaleschke L. ; Wernecke A.
刊名: Geophysical Research Letters
ISSN: 0094-8911
EISSN: 1944-8642
出版年: 2016
卷: 43, 期: 13 起始页码: 7019
结束页码: 7027
语种: 英语
英文关键词: Arctic Ocean
; linear kinematics
; sea ice
; sea ice lead
; sea ice modeling
; sea ice rheology
Scopus关键词: Elasticity
; Remote sensing
; Sea ice
; Arctic ocean
; Ice rheology
; Interannual variability
; Linear kinematics
; Numerical convergence
; Satellite remote sensing data
; Sea ice modeling
; Spatial and temporal variation
; Ice
; annual variation
; biological production
; environmental assessment
; environmental modeling
; kinematics
; remote sensing
; resolution
; rheology
; sea ice
; shipping
; trend analysis
; Arctic Ocean
英文摘要: Sea ice leads in the Arctic are important features that give rise to strong localized atmospheric heating; they provide the opportunity for vigorous biological primary production, and predicting leads may be of relevance for Arctic shipping. It is commonly believed that traditional sea ice models that employ elastic-viscous-plastic (EVP) rheologies are not capable of properly simulating sea ice deformation, including lead formation, and thus, new formulations for sea ice rheologies have been suggested. Here we show that classical sea ice models have skill in simulating the spatial and temporal variation of lead area fraction in the Arctic when horizontal resolution is increased (here 4.5 km in the Arctic) and when numerical convergence in sea ice solvers is considered, which is frequently neglected. The model results are consistent with satellite remote sensing data and discussed in terms of variability and trends of Arctic sea ice leads. It is found, for example, that wintertime lead area fraction during the last three decades has not undergone significant trends. ©2016. The Authors. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978898663&doi=10.1002%2f2016GL068696&partnerID=40&md5=5f3a3bb86ae73d864566dd34f84232fa
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/9874
Appears in Collections: 科学计划与规划 气候变化与战略
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作者单位: Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Recommended Citation:
Wang Q.,Danilov S.,Jung T.,et al. Sea ice leads in the Arctic Ocean: Model assessment, interannual variability and trends[J]. Geophysical Research Letters,2016-01-01,43(13).