This interactive visualization depicts sea surface temperatures (SST) and SST anomalies from 1885 to 2007. Learn all about SST and why SST data are highly valuable to ocean and atmospheric scientists. Understand the difference between what actual SST readings can reveal about local weather conditions and how variations from normalâcalled anomaliesâcan help scientists identify warming and cooling trends and make predictions about the effects of global climate change. Discover the relationships between SST and marine life, sea ice formation, local and global weather events, and sea level.
This interactive visualization created by FRED (Free Energy Data), displays energy supply (by source) and demand (by use) for each state in the US from 1960 to 2010; forecasts through 2035 are available as well.
FRED is an open platform to help state and local governments, energy planners and policy-makers, private industry, and others to effectively visualize, analyze, and compare energy-use data to make better energy decisions and form sustainable strategies.
This NASA video reviews the role of the sun in driving the climate system. It uses colorful animations to illustrate Earth's energy balance and how increased greenhouse gases are creating an imbalance in the energy budget, leading to warming. The video also reviews how the NASA satellite program collects data on the sun.
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 video shows where and how ice cores are extracted from the West Antarctic Ice Sheet. The cores are cut, packaged, flown to the ice core storage facility in Denver, further sliced into samples, and shipped to labs all over the world where scientists use them to study indicators of climate change from the past.
This activity involves plotting and comparing monthly data on atmospheric C02 concentrations over two years, as recorded in Mauna Loa and the South Pole, and postulating reasons for differences in their seasonal patterns. Longer-term data is then examined for both sites to see if seasonal variations from one site to the other carry over into longer term trends.