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Marine Air Temperature


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This is a graph of marine air temperature anomalies over the past 150 years. Five different marine air temperature anomaly datasets from different sources are compared on the one graph.

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Climate Literacy
About Teaching Climate Literacy

Observations are the foundation for understanding the climate system
About Teaching Principle 5
Other materials addressing 5b

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Teaching Tips | Science | Pedagogy | Technical Details

Teaching Tips

  • Educators have the option of giving students the derived anomaly data and then have them plot and analyze the result.
  • Link at bottom of the page takes educators/students to the State of the Climate Report 2011. This report and the associated webinar can be used to create a more up-to-date comprehensive lesson/unit of climate.

About the Science

  • The graph of marine air temperature anomalies over the past 150 years compares five different datasets from different sources. An explanation of each dataset is available. Links to derived anomaly data is available.
  • Comments from expert scientist: A strength of this activity is that the user can compare several long-term marine air temp. datasets at once, with the ability to zoom in and out of specific time periods for a close-up view. I rarely see these data presented in such a way online and think this is very useful for the audience.

About the Pedagogy

  • Students can zoom and pan the data.
  • The data is represented on an anomaly graph. Educators may need to explain how an anomaly graph is constructed.
  • Educators need a clear understanding of and the ability to explain the statistical aspects of this data (e.g. interpolated vs. uninterpolated, anomolies, etc.)
  • Educators may want to explore other time series plots that are linked to.
  • Useful to highlight learner's opportunity to create different visualizations to really explore the data in meaningful ways.

Technical Details/Ease of Use

  • The ease of using this tool is really dependent upon students' understanding of an anomaly graph.
  • Clicking on the links to the data sources at the top of the graph will take you to the actual raw dataset.

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