Macrosystems EDDIE Module 3: Teleconnections

Ecosystems can be influenced by teleconnections, in which meteorological, societal, and/or ecological phenomenon link remote regions via cause and effect relationships. Because it is difficult to predict how ecosystems will respond to drivers from remote regions, many researchers are using models to simulate different teleconnection scenarios and see how ecosystems respond. For example, lake simulation models provide a powerful tool for exploring how lake thermal structure and ice cover respond to climate teleconnections such as the El Nino/Southern Oscillation (ENSO). In this module, students will learn how to set up a lake model and "force" the model with climate scenarios to test hypotheses about how far-away drivers interact with local lake characteristics to affect lake temperatures and ice cover in different lakes. The overarching goal of this module is for students to explore new modeling and computing tools while learning fundamental concepts about how teleconnections affect lake temperatures and ice cover. The A-B-C structure of this module makes it flexible and adaptable to a range of student levels and course structures. This dataset contains instructional materials and the files necessary to run the complete module. Readers are referred to the GLM science manual (Hipsey et al. 2014; 2019) for further details on model configuration.生态系统会受到遥相关（teleconnections）的影响——这类过程通过因果关联，将气象、社会乃至生态现象连接起不同的偏远区域。由于难以预测生态系统会如何响应来自偏远区域的驱动因子，诸多研究者正借助模型模拟不同遥相关情景，以观测生态系统的响应模式。例如，湖泊模拟模型便是探究湖泊热结构与冰盖如何响应厄尔尼诺-南方涛动（ENSO）这类气候遥相关的有力工具。在本模块中，学生将学习如何搭建湖泊模型，并通过气候情景对模型施加强迫，以此验证相关假说：即远端驱动因子如何与本地湖泊特性相互作用，进而影响不同湖泊的水温与冰盖状态。本模块的核心目标，是让学生在学习遥相关影响湖泊水温与冰盖的基本原理的同时，探索新型建模与计算工具。本模块采用A-B-C式结构，具备良好的灵活性与适配性，可覆盖不同学力层次的学生与多样的课程设置。本数据集包含完整运行该模块所需的教学材料与相关文件。如需了解模型配置的更多细节，读者可参考GLM科学手册（Hipsey等，2014；2019）。