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  • Macrosystems EDDIE Module 3: Teleconnections
  • Carey, Cayelan C.; Virginia Tech
    Farrell, Kaitlin J.; Virginia Tech
  • 2019-05-10
  • Carey, C.C. and K.J. Farrell. 2019. Macrosystems EDDIE Module 3: Teleconnections ver 2. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-27).

  • 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.

  • N: 37.229596      S: 37.22854      E: -80.424863      W: -80.426228
  • edi.387.2  (Uploaded 2019-05-10)  
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  • Data Entities:
    1. This zip folder contains materials for instructors to teach the Macrosystems EDDIE  (7.4 MiB; 7 downloads) 
    2. This zip folder contains materials for students to implement the Macrosystems EDDIE  (3.0 MiB; 9 downloads) 
  • This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
  • DOI PLACE HOLDER

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