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.
This short video describes the Hestia project - a software tool and data model that provide visualizations of localized CO2 emissions from residential, commercial, and vehicle levels, as well as day versus night comparisons, in the city of Indianapolis.
This is the seventh of nine lessons in the 'Visualizing and Understanding the Science of Climate Change' website. This lesson addresses climate feedback loops and how these loops help drive and regulate Earth's unique climate system.
This visualization illustrates the carbon cycle throughout the oceanic zones, beginning at the surface and traveling to the deep. The concept map-like connections encourage students to link the abiotic and biotic interactions within the oceanic food web.
This is a graphic that illustrates anomalies in tropospheric temperatures over a 50-year time period and is based on 7 different datasets superimposed on each other. It is one of 9 climate indicators documented in the AMS State of the Climate report.
This resource consists of an interactive table with a comprehensive list of 29 Greenhouse Gases, their molecular structures, a chart showing a time series of their atmospheric concentrations (at several sampling sites), their global warming potential (GWP) and their atmospheric lifetimes. References are given to the data sets that range from the mid-1990s to 2008.
This video introduces the concept of daylighting - the use of windows or skylights for natural lighting and temperature regulation - and how it is one building strategy that can save operating costs for homeowners and businesses.