globalchange  > 过去全球变化的重建
DOI: 10.1371/journal.pone.0086439
论文题名:
Seasonal Predictability of the East Atlantic Pattern from Sea Surface Temperatures
作者: Isabel Iglesias; María N. Lorenzo; Juan J. Taboada
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2014
发表日期: 2014-1-22
卷: 9, 期:1
语种: 英语
英文关键词: Forecasting ; Seasons ; Autumn ; Summer ; Winter ; Indian Ocean ; Linear regression analysis ; Surface temperature
英文摘要: This study analyzes the influence of sea surface temperatures (SSTs) on the second mode of atmospheric variability in the north Atlantic/European sector, namely the East-Atlantic (EA) pattern, for the period 1950–2012. For this purpose, lead-lag relationships between SSTs and the EA pattern, ranging from 0 to 3 seasons, were assessed. As a main result, anomalies of the EA pattern in boreal summer and autumn are significantly related to SST anomalies in the Indo-Pacific Ocean during the preceding seasons. A statistical forecasting scheme based on multiple linear regression was used to hindcast the EA-anomalies with a lead-time of 1 to 2 months. The results of a one-year-out cross-validation approach indicate that the phases of the EA in summer and autumn can be properly hindcast.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0086439&type=printable
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/17952
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: Grupo de Física de la Atmósfera y del Océano. Facultad de Ciencias. Universidad de Vigo, Ourense, Spain;Centro Interdisciplinar de Investigação Marinha e Ambiental, Universidade do Porto, Porto, Portugal;Grupo de Física de la Atmósfera y del Océano. Facultad de Ciencias. Universidad de Vigo, Ourense, Spain;Meteogalicia. Xunta de Galicia. Santiago de Compostela, Spain

Recommended Citation:
Isabel Iglesias,María N. Lorenzo,Juan J. Taboada. Seasonal Predictability of the East Atlantic Pattern from Sea Surface Temperatures[J]. PLOS ONE,2014-01-01,9(1)
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