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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Evolution of tropical interannual sea surface temperature variability and its connection with boreal summer atmospheric circulations
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Evolution of tropical interannual sea surface temperature variability and its connection with boreal summer atmospheric circulations

机译:热带百年海面温度变异性的演变及其与北方夏季大气环路的联系

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摘要

Sea surface temperature anomalies (SSTAs), including their spatial patterns and temporal evolution, are an important source of potential predictability for climate anomalies, especially on seasonal to interannual timescales. In this study, the spatial patterns and temporal evolution of tropical SSTAs are identified by applying an extended empirical orthogonal function (EEOF) analysis of observed data from autumn to the following spring. The positive phase of first EEOF mode (EEOF1) displays an El Nino-Southern Oscillation (ENSO) phase-locking evolution pattern in the tropical Pacific, with accompanying warming in the Indian and Atlantic oceans. EEOF2 is characterized by the development of ENSO in the eastern tropical Pacific and a phase transition in the Indian Ocean and the tropical North Atlantic. The most noticeable feature of EEOF3 is the development of the central Pacific ENSO. The first three EEOF modes account for 44.7% of the total variance of tropical SSTAs over the course of the three seasons. EEOF1 is closely related to the tropical atmospheric circulation, especially over the western Pacific region, reflecting the strengthening effect of the three tropical oceans on the anomalous anticyclone over the tropical Northwest Pacific during the decaying phases of El Nino. EEOF2 significantly impacts the circulation anomalies over the Indian Ocean and western Pacific. A linear regression model is established using the time series of first four EEOF modes to forecast the June to August 500 hPa geopotential height anomalies. The forecasts show higher skill than a similar linear regression model using seasonal mean regional SST anomaly indices. The results reveal that EEOF modes could be used as a good indicator in the monitoring of tropical SSTA evolution patterns.
机译:海表面温度异常(SSTA),包括它们的空间模式和时间进化,是气候异常的潜在可预测性的重要来源,特别是在季节性到际时间尺寸。在该研究中,通过将观察到的数据从秋天应用于以下弹簧来施加观察数据的扩展经验正交功能(EEOF)分析来识别热带SSTA的空间模式和时间演化。第一EEOF模式(EEOF1)的阳性阶段显示热带太平洋中的EL Nino-Southern振荡(ENSO)锁相进化模式,随着印度和大西洋的陪同。 EEOF2的特点是在东部热带太平洋的发展和印度洋和热带北大西洋的阶段过渡的发展。 EEOF3最引人注目的特征是中原ENSO的发展。前三个EEOF模式占三季过程中热带SSTA总差异的44.7%。 EEOF1与热带大气循环密切相关,特别是在西太平洋地区,反映了在埃尔尼诺腐烂的阶段热带西北太平洋在热带西北太平洋上对热带反周岩的加强效果。 EEOF2显着影响印度洋和西太平洋的循环异常。使用前四种EEOF模式的时间序列建立了线性回归模型,预测6月至8月500 HPA地球态高度异常。预测使用季节性平均区域SST异常指数显示出比类似的线性回归模型更高的技能。结果表明,在热带SSTA演化模式监测中,EEOF模式可用作良好指标。

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