| DOI: | 10.1002/2015GL063972
|
| 论文题名: | Sea-ice reemergence in a model hierarchy |
| 作者: | Bushuk M.; Giannakis D.
|
| 刊名: | Geophysical Research Letters
|
| ISSN: | 0094-9248
|
| EISSN: | 1944-8979
|
| 出版年: | 2015
|
| 卷: | 42, 期:13 | | 起始页码: | 5337
|
| 结束页码: | 5345
|
| 语种: | 英语
|
| 英文关键词: | Arctic sea ice
; atmosphere-ocean-ice interactions
; data analysis
; interannual variability
; predictability
; reemergence and persistence
|
| Scopus关键词: | Atmospheric temperature
; Climate models
; Data reduction
; Ice
; Sea ice
; Sea level
; Spectrum analysis
; Surface waters
; Arctic sea ice
; Ice interactions
; Interannual variability
; Predictability
; Reemergence and persistence
; Oceanography
; annual variation
; climate modeling
; correlation
; growing season
; hierarchical system
; Laplace transform
; melt
; prediction
; sea ice
; sea level pressure
; sea surface temperature
; Arctic Ocean
|
| 英文摘要: | Lagged correlation analysis of Arctic sea-ice area reveals that melt season sea-ice anomalies tend to recur the following growth season, and growth season anomalies tend to recur the following melt season. In this work, a climate model hierarchy is used to investigate the relative role of the atmosphere and the ocean in driving this phenomenon, termed sea-ice reemergence. The covariability of sea-ice concentration (SIC), sea surface temperature (SST), and sea level pressure (SLP) is studied via coupled nonlinear Laplacian spectral analysis, and families of modes that capture reemergence are constructed. In model configurations with ocean-to-atmosphere coupling, these "reemergence families" display a pan-Arctic scale organization of SIC anomalies, related to SLP teleconnection patterns. The ocean is found to provide the key source of memory for reemergence, as an SST-based reemergence mechanism can operate as a stand-alone process, while an SLP-based mechanism cannot. Dynamical feedback from the ocean to the atmosphere is found to be essential in creating large-scale organized patterns of SIC-SLP covariability. Key Points SIC reemergence signals highly dependent on model formulation SIC reemergence patterns set by SLP teleconnections in fully coupled models Ocean provides memory source for reemergence, and atmosphere provides variability. © 2015. American Geophysical Union. All Rights Reserved. |
| URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938197465&doi=10.1002%2f2015GL063972&partnerID=40&md5=c100c827dda2d20d8b91388013097b1f
|
| Citation statistics: |
|
| 资源类型: | 期刊论文
|
| 标识符: | http://119.78.100.158/handle/2HF3EXSE/8864
|
| Appears in Collections: | 科学计划与规划
气候变化与战略
|
|
There are no files associated with this item.
|
|
作者单位: | Courant Institute of Mathematical Sciences, New York University, New York, NY, United States
|
| Recommended Citation: | |
Bushuk M.,Giannakis D.. Sea-ice reemergence in a model hierarchy[J]. Geophysical Research Letters,2015-01-01,42(13).
|
|
|