Empirically Determined Climate Predictability Using Nonlinear Time Series Models

McKeague, Ian W.佛罗里达州立大学题目：利用非线性时间序列模型经验确定的气候可预测性。该资助旨在应用各种非线性时间序列分析的现代方法来研究气候可预测性问题。观测时间序列和GCM模拟时间序列将使用非线性动力系统理论的工具来构建非线性统计模型。这将使pi能够评估气候的可预测性。

Abstract ATM-9417528 McKeague, Ian W. Florida State University Title: Empirically Determined Climate Predictability Using Nonlinear Time Series Models This grant is to apply various modern methods of nonlinear time series analysis to look at the problem of climate predictability. Observed and GCM simulated time series will be examined using the tools of nonlinear dynamical systems theory to construct nonlinear statistical models. This will enable the PIs to assess the predictability of climate.