INTER- AND INTRA-ANNUAL VARIABILITY IN AN INTERACTIVE OCEAN-ATMOSPHERE CLIMATE SYSTEM

这个项目将调查地球的气候 模拟的相互作用的海洋-大气系统的变率 通过一个低水平分辨率的大气环流模式， 包括混合层海洋组件。 重点是 年周期的年内和年间变化方面。 超长模型模拟（50至100年） 将提供实质性的统计表示， 相关可变性事件。 分析将侧重于评估 (1)SST变率特征;（2） 大气环流异常和海温异常; 海洋-大气能量交换在强迫变率中的作用。 附加模拟，包括规定海况的情况 表面温度或大气条件将有助于 确定SST与 大气变率 在几个星期之后，海洋强烈地 影响地球的气候。 富有成效的学习方法 导致这种影响的过程和对 海洋与大气是相互作用的模型。 预计 该研究将（1）提供对 海洋-大气相互作用的物理机制 热带和热带外气候的变化，（2）有助于 评估和解释更复杂的系统， 包括海洋内部过程和海洋-大气动态 互动，（3）提供洞察的基本方面， 气候变化，如可预测性和因果关系 海洋和大气之间的关系。 这 世界气候研究计划（World Climate Research Program） 热带海洋-全球大气方案。

This project will investigate the earth's climate variability in an interactive ocean-atmosphere system as modeled by a low-horizontal-resolution general circulation model that includes a mixed-layer ocean component. The focus will be on the inter- and intra-annual variability aspects of the annual cycle. Very long model simulations (in the range of 50 to 100 years) will provide substantive statistical representations of the relevant variability events. Analyses will focus on assessing (1) SST variability characteristics, (2) the relationship between atmospheric circulation anomalies and SST anomalies and (3) the role of ocean-atmosphere energy exchange in forcing variability. Additional simulations which include cases with prescribed sea surface temperature or atmospheric conditions will help in determining cause/effect relationships between SST and atmospheric variability. On time scales beyond a few weeks, the oceans strongly influence the earth's climate. A productive approach to studying the processes leading to that influence and the feedback to the oceans by the atmosphere is interactive models. It is expected that the study will (1) provide understanding of the role of thermodynamical ocean-atmosphere interactions in producing tropical and extratropical variability of climate, (2) help in the assessment and interpretation of more complex systems which incorporate internal ocean processes and dynamic ocean-atmosphere interactions, and (3) provide insight into fundamental aspects of climate variability such as predictability and cause/effect relationships between the ocean and the atmosphere. This research is relevant to the World Climate Research Program's Tropical Oceans-Global Atmosphere Program (TOGA).