首页> 外文期刊>Global and planetary change >Is the volatility and non-stationarity of the Atlantic Multidecadal Oscillation (AMO) changing?
【24h】

Is the volatility and non-stationarity of the Atlantic Multidecadal Oscillation (AMO) changing?

机译:是大西洋多型振荡(AMO)变化的波动性和非公平性?

获取原文
获取原文并翻译 | 示例
           

摘要

Better understanding of the Atlantic Multidecadal Oscillation (AMO) temporal evolution and the precise and reliable predictability of its phase-switching behaviour are of utmost importance in characterizing future climate change as well as its consequences. For the first time, this study investigated internal dynamics of the AMO in different warm/cold phases to examine whether this phenomenon is governed by a non-linear process through time or not. Also, changes in heteroscedasticity of the AMO and its memory structure were explored using Generalized AutoRegressive Conditional Heteroscedasticity (GARCH) models. The developed GARCH models showed a high volatility or a rapid change of the heteroscedasticity of the AMO and its different phases while the memory in the variance regarding the conditional variance parameter was not significant except the first and last warm phases. Also, the volatility parameter showed very high increasing rate from 1875 to 2018. This implies that the fluctuation in the variance has been increasing and the memory in the AMO has been declining in recent decades. The test for stationarity revealed the tendency of increasing volatility in recent decades. The change in the conditional variance is exponentially increasing by the AMO values and the non-linearity has been clearly increasing in recent decades. This non-stationarity, volatility and nonlinearity surge may result in less predictability of the AMO behaviour/phase-switching pattern as well as less predictability of its consequences and effects on the global atmospheric and oceanic processes in future.
机译:更好地了解大西洋多型振荡(AMO)时间演进和其相位切换行为的精确和可靠的可预测性在表征未来的气候变化以及其后果方面至关重要。这项研究首次调查了不同温暖/冷阶段的amo的内部动态,以检查这种现象是否受到时间的非线性过程的控制。此外,使用广义自回归条件异源间族塑料(GARCH)模型探索了AMO的异源性和其存储器结构的变化。开发的GARCH模型显示了amo及其不同阶段的高挥发性或快速变化,而在条件方差参数的方差中的差异之外的内存不显着,除了第一和最后的温暖阶段。此外,波动率参数从1875年到2018年表现出非常高的速度。这意味着方差的波动一直在增加,近几十年来的amo中的记忆一直在下降。实践的测试揭示了近几十年来增加了波动的趋势。条件方差的变化是由AMO值呈指数增长的,并且近几十年来,非线性已经显着增加。这种非实践性,波动性和非线性浪涌可能导致am​​o行为/相位切换模式的可预测性,以及对未来全球大气和海洋过程的后果和影响的可预测性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号