Empirically Determined Climate Predictability Using Nonlinear Time Series Models

ATM-9417528麦基格，伊恩·W·佛罗里达州立大学题目：使用非线性时间序列模型经验确定的气候可预测性这项资助是应用各种现代非线性时间序列分析方法来研究气候可预测性问题。利用非线性动力系统理论建立非线性统计模型，对观测到的时间序列和GCM模拟的时间序列进行检验。这将使采购经理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.