Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JCLI-D-16-0549.1 |
The Seasonality and Interannual Variability of Arctic Sea Ice Reemergence | |
Bushuk, Mitchell1,2; Giannakis, Dimitrios2 | |
2017-06-01 | |
发表期刊 | JOURNAL OF CLIMATE
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ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2017 |
卷号 | 30期号:12 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | There is a significant gap between the potential predictability of Arctic sea ice area and the current forecast skill of operational prediction systems. One route to closing this gap is improving understanding of the physical mechanisms, such as sea ice reemergence, which underlie this inherent predictability. Sea ice reemergence refers to the tendency of melt-season sea ice area anomalies to recur the following growth season and growth-season anomalies to recur the following melt season. This study builds on earlier work, providing a mode-based analysis of the seasonality and interannual variability of three distinct reemergence mechanisms. These mechanisms are studied using a common set of coupled modes of variability obtained via coupled nonlinear Laplacian spectral analysis, a data analysis technique for high-dimensional multivariate datasets. The coupled modes capture the covariability of sea ice concentration (SIC), sea surface temperature (SST), sea level pressure (SLP), and sea ice thickness (SIT) in a control integration of a global climate model. Using a parsimonious reemergence mode family, the spatial characteristics of growth-to-melt reemergence are studied, and an SIT-SIC reemergence mechanism is examined. A set of reemergence metrics to quantify the amplitude and phase of growth-to-melt reemergence are introduced. Metrics quantifying SST-SIC and SLP-SIC mechanisms for melt-to-growth reemergence are also computed. A simultaneous comparison of the three reemergence mechanisms, with focus on their seasonality and interannual variability, is performed. Finally, the conclusions are tested in a model hierarchy, consisting of models that share the same sea ice component but differ in their atmospheric and oceanic formulation. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000402379600019 |
WOS关键词 | LAPLACIAN SPECTRAL-ANALYSIS ; THICKNESS DISTRIBUTION ; CLIMATE ; PREDICTABILITY ; PREDICTION ; MODEL ; INITIALIZATION ; ATMOSPHERE ; SENSITIVITY ; DYNAMICS |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/20060 |
专题 | 气候变化 |
作者单位 | 1.Princeton Univ, Atmospher & Ocean Sci Program, Princeton, NJ 08544 USA; 2.NYU, Courant Inst Math Sci, 251 Mercer St, New York, NY 10003 USA |
推荐引用方式 GB/T 7714 | Bushuk, Mitchell,Giannakis, Dimitrios. The Seasonality and Interannual Variability of Arctic Sea Ice Reemergence[J]. JOURNAL OF CLIMATE,2017,30(12). |
APA | Bushuk, Mitchell,&Giannakis, Dimitrios.(2017).The Seasonality and Interannual Variability of Arctic Sea Ice Reemergence.JOURNAL OF CLIMATE,30(12). |
MLA | Bushuk, Mitchell,et al."The Seasonality and Interannual Variability of Arctic Sea Ice Reemergence".JOURNAL OF CLIMATE 30.12(2017). |
条目包含的文件 | 条目无相关文件。 |
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