...
首页> 外文期刊>Ocean Dynamics >Extension of sea surface temperature unpredictability
【24h】

Extension of sea surface temperature unpredictability

机译:扩大海面温度的不可预测性

获取原文
获取原文并翻译 | 示例
           

摘要

The sea surface temperature (SST) variability is clearly affected by global climate patterns, which involve large-scale ocean-atmosphere fluctuations similar to the El Nino-Southern Oscillation (ENSO). We give mathematical arguments for the SST to be unpredictable over oceans. Sensitivity (unpredictability) is the core ingredient of chaos. Several researches suggested that the ENSO might be chaotic. It was Vallis (Science 232:243-245, 1986) who revealed unpredictability in ENSO by reducing his model to the Lorenz equations. We discuss the unpredictability for SST as an extendable phenomenon through coupled Vallis ENSO models and advection equations by using theoretical as well as numerical analyses. To perform theoretical research, we apply our recent results on replication of chaos and unpredictable solutions of differential equations, while for numerical analysis, we combine results on unpredictable solutions with numerical analysis of chaos in the advection equation.
机译:海面温度(SST)的变化显然受到全球气候模式的影响,全球气候模式涉及类似于El Nino-Southern Oscillation(ENSO)的大规模海洋-大气波动。我们给出了SST在海洋上不可预测的数学论据。敏感性(不可预测性)是混乱的核心因素。多项研究表明ENSO可能很混乱。正是瓦利斯(Science 232:243-245,1986)通过将他的模型简化为洛伦兹方程式揭示了ENSO中的不可预测性。我们通过耦合的Vallis ENSO模型和对流方程,使用理论和数值分析,讨论了SST作为可扩展现象的不可预测性。为了进行理论研究,我们将最近的结果应用于混沌的复制和微分方程的不可预测的解,而对于数值分析,我们将不可预测的解的结果与对流方程中的混沌的数值分析相结合。

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