These slide sets (one for the Eastern US and one for the Western US) describe how citizen observations can document the impact of climate change on plants and animals. They introduce the topic of phenology and data collection, the impact of climate change on phenology, and how individuals can become citizen scientists.
This is an interactive webtool that allows the user to choose a state or country and both assess how climate has changed over time and project what future changes are predicted to occur in a given area.
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 and outputs as well as variables, such as land surface, and how to measure changes of different parts of Earth's surface over time.
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.
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 data viewing tool from NOAA is highly engaging and offers nearly instant access to dozens of datasets about Earth. Users select from atmosphere, ocean, land, cryosphere, and climate, and drill down from there into more detailed categories.