This interactive addresses the question if we can reduce CO2 emissions by 20% of 1990 levels and help avoid dangerous climate change? Users of this interactive can manipulate changes to various sources and uses (supply and demand) of energy with the goal of reducing C02 emissions in Great Britain by 80% in the year 2050.
This video introduces phytoplankton - the base of the marine food web, the source of half of the oxygen on Earth, and an important remover of CO2 from the atmosphere. The video also explains how satellites are used to monitor phytoplankton and how warming waters and acidification negatively affect phytoplankton.
This lesson plan has students working in small groups to research the Mountain Pine Beetle in Colorado and other inter-mountain Western states. Students identify the factors that control pine beetle population and research how warmer winters and decreasing spring snowpack allow the population of pine beetles to expand.
In this video, students explore the work of Jay Keasling, a synthetic biologist experimenting with ways to produce a cleaner-burning fuel from biological matter, using genetically modified microorganisms.
This classroom activity introduces equity issues surrounding climate change. Students research the assigned developed and developing nations, discuss climate change, and label the differences between energy usage and the effects of climate change on two world maps. In the end, the class negotiates an energy treaty.
In this activity, students chart temperature changes over time in Antarctica's paleoclimate history by reading rock cores. Students use their data to create an interactive display illustrating how Antarctica's climate timeline can be interpreted from ANDRILL rock cores.
This multi-part activity introduces users to normal seasonal sea surface temperature (SST) variation as well as extreme variation, as in the case of El NiÃo and La NiÃa events, in the equatorial Pacific Ocean. Via a THREDDS server, users learn how to download seasonal SST data for the years 1982 to 1998. Using a geographic information system (GIS), they visualize and analyze that data, looking for the tell-tale SST signature of El Nino and La Nina events that occurred during that time period. At the end, students analyze a season of their own choosing to determine if an El NiÃo or La NiÃa SST pattern emerged in that year's data.