C-Learn is a simplified version of the C-ROADS 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.
The Climate Momentum Simulation allows users to quickly compare the resulting sea level rise, temperature change, atmospheric CO2, and global CO2 emissions from six different policy options: 1) Business As Usual, 2) March 2009 Country Proposals, 3) Flatten CO2 emissions by 2025, 4) 29% below 2009 levels by 2040, 5) 80% reduction of global fossil fuel plus a 90% reduction in land use emissions by 2050, and 6) 95 reduction of CO2 emissions by 2020). Based on the more complex C-ROADS simulator.
This web page from the National Snow and Ice Data Center contains two related visualizations. The first visualization gives an estimate of the percent contribution to sea level change since the 1990s from three contributors - small glaciers and ice caps, the Greenland Ice Sheet and the Antarctic Ice Sheet. The second visualization shows the cumulative contribution to sea level from small glaciers and ice caps plotted with the annual global surface air temperature anomaly.
This interactive world map shows the impact of a global temperature rise of 4 degrees Celsius on a variety of factors including agriculture, marine life, fires, weather patterns, and health. Hot Spots can be clicked on to get more specific information about the problems in different regions.