This set of animations and interactive simulations from the Byrd Polar Research Center at Ohio State University helps students develop an understanding of models used to understand the Earth system. Students consider the types of data that need to be included in a climate model, looking at inputs, outputs, and variables. The animations show how data is calculated for grid cells and assembled into a comprehensive model.

This is an animated interactive that displays, on a Global Viewer, NOAA datasets on hazards, ocean, and climate. User can visualize data on phenomena such as hurricanes, humpback whale migrations, carbon tracker, sea ice extent, IPCC scenarios on global warming.

This resource includes 3 videos that are animations of drought data. The first is an animation of the US Drought Monitor drought index snapshots from 2010-2018. The second is an animation of global drought data from satellites from 2013-2018. The third is an animation of drought projections for the US from 1950-2095.

In this video, students see how data from the ice core record is used to help scientists predict the future of our climate. Video features ice cores extracted from the WAIS Divide, a research station on the West Antarctic Ice Sheet.

This video features research conducted at University of Colorado's Institute of Arctic and Alpine Research, which studies isotopes of hydrogen trapped in ice cores to understand climate changes in the past.

This visualization provides an informative summary of the quarterly seasonal global weather and climate using the 3-D Science on a Sphere format. These video summaries use animations of recent NOAA data and an engaging commentary to review the climate highlights of the past 4 seasons. Topics include, El Nino/La Nina, temperature trends, extreme weather, and emerging climate research.

This NASA animation of the Five-Year Average Global Temperature Anomalies from 1881 to 2009 shows how temperature anomalies have varied in the last 130 years. The color-coded map displays a long-term progression of changing global surface temperatures from 1881 to 2009. Dark red indicates the greatest warming and dark blue indicates the greatest cooling.

This video explains how scientists construct computer-generated climate models to forecast weather, understand climate, and project climate change. It discusses how different types of climate models can be used and how scientists use computers to build these models.

This video provides a good introduction to the field of attribution science. Beginning with an introduction to weather and climate, it describes how severe weather might be linked to climate change and the science behind attribution studies. It gives a good explanation behind how scientists use climate models to study whether severe weather events were influenced by climate change. It also discusses the question, "does climate change cause extreme weather?" and provides an introduction to the concepts of probability, causation, and correlation in regards to attribution science (how much climate change influenced an event verses normal variations in weather).

This simulation allows the user to project CO2 sources and sinks by adjusting the points on a graph and then running the simulation to see projections for the impact on atmospheric CO2 and global temperatures.

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