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The Climate Reanalyzer
http://cci-reanalyzer.org/

Climate Reanalyzer, Climate Change Institute, University of Maine at Orono

This interactive visualization is a suite of weather and climate datasets as well as tools with which to manipulate and display them visually.

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Learn more about Teaching Climate Literacy and Energy Awareness»

Climate Literacy
About Teaching Climate Literacy

Observations are the foundation for understanding the climate system
About Teaching Principle 5
Other materials addressing 5b
Observations, experiments, and theory are used to construct and refine computer models
About Teaching Principle 5
Other materials addressing 5c
Meteorology and climatology are related but different sciences, and their processes are modeled and forecast differently
About Teaching Principle 5
Other materials addressing 5d

Benchmarks for Science Literacy
Learn more about the Benchmarks

Scientific investigations usually involve the collection of relevant data, the use of logical reasoning, and the application of imagination in devising hypotheses and explanations to make sense of the collected data.
Explore the map of concepts related to this benchmark
Computer modeling explores the logical consequences of a set of instructions and a set of data. The instructions and data input of a computer model try to represent the real world so the computer can show what would actually happen. In this way, computers assist people in making decisions by simulating the consequences of different possible decisions.
Explore the map of concepts related to this benchmark

Notes From Our Reviewers The CLEAN collection is hand-picked and rigorously reviewed for scientific accuracy and classroom effectiveness. Read what our review team had to say about this resource below or learn more about how CLEAN reviews teaching materials
Teaching Tips | Science | Pedagogy | Technical Details

Teaching Tips

  • Educators need to be comfortable integrating tools into their own curriculum.
  • No scaffolding for educators provided, but lots of potential here with real data that real scientists use.
  • Students will need either prior experience in manipulating and interpreting datasets, or guidance to do so, as none is provided on the site.

About the Science

  • This is a reanalysis suite of datasets on weather and climate with a variety of methods to visualize the data - time series graphs, global overlays, etc. - with the capability of using individual datasets or combining them into one visualization.
  • Note definition of reanalysis: 'Reanalysis is a scientific method for developing a comprehensive record of how weather and climate are changing over time. In it, observations and a numerical model that simulates one or more aspects of the Earth system are combined objectively to generate a synthesized estimate of the state of the system. A reanalysis typically extends over several decades or longer and covers the entire globe from Earth’s surface to well above the stratosphere. Reanalysis products are used extensively in climate research and services, including for monitoring and comparing current climate conditions with those of the past, identifying the causes of climate variations and change, and preparing climate predictions.' (from Reanalysis.org)
  • Comments from expert scientist: This is a tremendous scientific resource that covers both weather and climate and both observed data up to the present and model predictions for a reasonable time span up to the future. This resource serves as a great go-to site for scientific reference and understanding.

About the Pedagogy

  • Site is complex - multiple datasets provided as well as multiple features with which to manipulate and display the datasets. No direction/support regarding how to use the features, so user needs to experiment and explore.

Technical Details/Ease of Use

  • Excellent visualizations - could be very useful helping students understand how to analyze climate data - good connection to NGSS and Common Core on modeling (math standards) 5b and 5c
  • Maps and graphics are clean and clear. Variables easy to read.

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