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, from Yale Climate Connections, explores the 2014 melting of the West Antarctic ice sheet that captured headlines. Interviews, animations, and news broadcasts explore what the melting meant for both the future of some of the Antarctic glaciers and sea level rise, and informs the viewer how seafloor terrain influences the speed of ice sheet melt.

This interactive map allows students to experiment with decadal average temperature projections. Overall temperatures are expected to rise throughout the century and this tool demonstrates those projected measurements.

This monthly bulletin and animation provides regular and reliable visualizations of world weather and climate events of the previous month using NOAA data. Archives are available from October 2011 to present.

This National Weather Service interactive visualization includes outlook maps for different types weather predictions. The map includes temperature and precipitation predictions for up to 3 months out, as well as predictions for tropical hazards, weather hazards, and drought. Further data is easily accessed.

The Greenland 2014: Follow the Water video is about Greenland's ice sheet, accompanied by computer models of the same, to show how the ice is melting, where the meltwater is going, and what it is doing both on the surface and beneath the ice.

This video provides an overview of how computer models work. It explains the process of data assimilation, which is necessary to ensure that models are tied to reality. The video includes a discussion of weather models using the Goddard Earth Observing System (GEOS-5) model and climate models using the MERRA (Modern Era Retrospective Analysis for Research and Applications) technique.

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.

C-Learn is a simplified version of a climate simulator. Its primary purpose is to help users understand the long-term climate effects (CO2 concentrations, global temperature, sea level rise) of various customized actions to reduce fossil fuel CO2 emissions, reduce deforestation, and grow more trees. Students can ask multiple, customized what-if questions and understand why the system reacts as it does.

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.

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