Highlighting some of our educational products and services:
Satellite Images
Would you like to give your students a visual illustration of how climate has changed in the United States in the last century and how it may change in the future? We now offer time series animations of climatological variables for the years 1895 through 2100. These MPEG movies were created from the model output results of two of the most frequently cited climate simulation models developed by the Canadian Center for Climate Modelling and the Hadley Center for Climate Prediction and Research. Information about the models: For detailed information about the models, please see the VEMAP Transient Dynamics dataguide. Future climate was modeled using an increasing atmospheric CO2 of 1% per year. Net Primary Production was modeled two ways: by keeping the CO2 level constant at the 1895 level of 294.8 ppm (constant CO2) and by increasing CO2 1% every year (increasing CO2). In these scenarios, atmospheric CO2 reaches 711 ppm in 2100, which is very similar to the IPCC AR4 SRES A1B scenario. For more information about the IPCC, please see our Climate Visualizations page.Each movie is approximately 9.0 megabytes in size and may take a long time to load, please be patient.
Net Primary Production:
You can download a text file of the CO2 data here. What about viewing global landuse change over the past 300 years? These movies are decadal snapshots from the period 1700 to 2000 developed from the Global Landuse Model (GLM), which has input from several model sources, as detailed in the GLM dataguide. Some areas have moved from forested to agriculture to urban, and others have moved from forested to harvested trees and then regrown a forest (secondary landuse) in the past 300 years. All movies are global at one degree resolution (*). They can be downloaded using the right-hand mouse click on the movie link, or run directy in your browser by left-hand click. Try a smaller movie first if your system is older.
(*) a 1 degree by 1 degree pixel in latitude-longitude measure is of variable area. One of the datasets you can get from this GLM collection is pixel area. By multiplying this area by the fraction value from the actual data, you would be able to estimate the land area.
These are static jpeg images (thumbnail and full size images) of the model output results noted above.
Climate Variables:
Net Primary Production:
EOS-WEBSTER is a founding partner in the Earth Exploration Toolbook. The Earth Exploration Toolbook (EET) is a collection of case studies or chapters in which the user obtains data and uses specific analytical tools to learn more about issues or concepts in Earth science. Screen shots are provided to assist those who may be less familiar with the software or other analytical tool that is used in the chapter. Each chapter also includes a detailed list of what is needed (typically software) to complete the chapter and any associated costs. The chapter also identifies which National Science Education Inquiry and Content Standards are addressed in the case study and concludes with suggestions for other applications of the data and areas for further exploration. Each chapter in the EET is external reviewed by a panel of educators and is also field tested before it's released publicly. The link below connects you directly to the chapter that uses EOS-WEBSTER data and includes step-by-step instructions for getting the data from EOS-WEBSTER and using Excel to analyze the data: Exploring
Regional Differences in Climate Change Explore Sea Ice
Image Analysis and Visualization Software: There are a number of free software programs for image processing and visualization of image data. Commonly used applications are MultiSpec, ImageJ and Analyzing Digital Images, available as part of the Digital Earth Watch (DEW) software package for Global Systems Science at Lawrence Hall of Science. In addition, there are numerous tools for manipulating or displaying NetCDF data as well as HDF-EOS data (see the
Additional Data Resources for Teachers:
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