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Study of the Mutual Influence of the El Nino-Southern Oscillation Processes and the North Atlantic and Arctic Oscillations

机译:厄尔尼诺-南方涛动过程与北大西洋和北极涛动的相互影响研究

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On the basis of the nonlinear techniques for the estimation of coupling between oscillatory systems from time series,we investigate the dynamics of climatic modes characterizing global and Northern Hemisphere (NH) processes.The North Atlantic Oscillation (NAO) and Arctic Oscillation indices and the El Nino-Southern Oscillation (ENSO) indices are analyzed in terms of the most reliable data from 1950 through 2004 and earlier data since the 19th century.These indices characterize changes in NH atmospheric pressure (specifically,sea-level pressure in the North Atlantic and NH extratropical latitudes as a whole) and in equatorial Pacific sea-surface temperature and sea-level pressure to which the strongest variations of global surface temperature and global climate on interannual time scales and of regional climatic anomalies in the NH are linked.The methods used are based on phase-dynamics modeling and nonlinear prediction models (a nonlinear version of Granger causality).From both methods and various ENSO indices,the inference about the ENSO effect on the NAO during the latter half of the 20th century and in the early 21 st century is made with confidence probability of at least 0.95.The influence is characterized by a time delay of about two years.No inverse influence is found with a similar degree of reliability.Results of estimating the coupling between the ENSO and the NAO depend on the type of index that is used to describe the NAO.The ENSO effect on the NAO is detected with sufficient confidence when the NAO index is chosen to be a larger scale characteristic.However,when a more local index of the NAO is used,no statistically significant coupling to the ENSO is found.Increasing the length of the analyzed ENSO and NAO series (over more than 100 yr) does not lead to any more reliable detection of coupling.Analysis of the data for different time intervals during 1950-2004 has revealed a strengthening of the ENSO effect on the NAO,although this inference is not reliable.
机译:基于从时间序列估计振荡系统之间耦合的非线性技术,我们研究了表征全球和北半球(NH)过程的气候模式动力学。北大西洋涛动(NAO)和北极涛动指数以及El根据1950年至2004年间最可靠的数据以及19世纪以来的早期数据对Nino-Southern Oscillation(ENSO)指数进行了分析,这些指数表征了NH大气压力的变化(特别是北大西洋和NH的海平面压力)总体上讲是温带纬度)和赤道太平洋海表温度和海平面压力的联系,全球温度和全球气候在年际尺度上和NH中区域气候异常的最强烈变化与之相关。基于相动力学建模和非线性预测模型(Granger因果关系的非线性版本)。以及各种ENSO指数,可以得出20世纪下半叶和21世纪初ENSO对NAO的影响的推论,其置信概率至少为0.95。其影响的特征在于时延约为2年,没有发现类似程度的逆影响。估计ENSO和NAO之间的耦合的结果取决于用于描述NAO的指标类型。以足够的置信度检测到ENSO对NAO的影响当选择NAO指数作为较大尺度的特征时。但是,当使用NAO的局部指数更大时,未发现与ENSO具有统计显着性的耦合。增加了ENSO和NAO系列分析的长度(超过100 yr)不会导致对耦合的更可靠检测。对1950-2004年期间不同时间间隔的数据进行的分析表明,ENSO对NAO的作用增强了,尽管这一推断并不可靠。 ble。

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