Cal-Adapt is a web-based climate adaptation planning tool developed in part by the University of California, Berkeley's Geospatial Innovation Facility for the State of California. Cal-Adapt allows users to identify potential climate change risks in specific geographic areas throughout the state. Users can either query by location, or click on an interactive map to explore what climate impacts are projected to occur in their area of interest.
The Southwest Climate Change Network is a virtual community for scientists, other experts, decision makers, and the public to share information on climate change and collaborate on solutions. The site provides static and dynamic content and encourages readers to engage with each other and the scientists behind the site and ask questions about what matters to them when it comes to climate in the Southwest.
The Climate Assessment for the Southwest puts out monthly outlooks for the region. These outlooks include a look at last month's temperature and precipitation data, the current state of El Niño/La Niña and reservoir levels, and forecasts for temperature, precipitation, and streamflow. Additional seasonal sections of the outlook include wildland fire and snowpack updates. Archives are also available online.
The Alaska Center for Climate Assessment and Policy has an archive of all its webinars on a variety of climate issues in the Alaska and the Arctic. The webinar series is also ongoing with new speakers and topics scheduled regularly.
This free PC-based tool from NOAA's Coastal Service Center aids in decisions about conservation, restoration, and planning. The Habitat Priority Planner takes away much of the subjective nature of the process by providing critical habitat analyses that are consistent, repeatable, and transparent. The program allows users to easily test various ideas and "what if" scenarios on the fly, making it the perfect tool to use in a group setting.
In this activity, students examine global climate model output and consider the potential impact of global warming on tropical cyclone initiation and evolution. As a follow-up, students read two short articles on the connection between hurricanes and global warming and discuss these articles in context of what they have learned from model output.
In this activity, students explore the increase in atmospheric carbon dioxide over the past 40 years with an interactive online model. They use the model and observations to estimate present emission rates and emission growth rates. The model is then used to estimate future levels of carbon dioxide using different future emission scenarios. These different scenarios are then linked by students to climate model predictions also used by the Intergovernmental Panel on Climate Change.
This long classroom activity introduces students to a climate modeling software. Students visualize how temperature and snow coverage might change over the next 100 years. They run a 'climate simulation' to establish a baseline for comparison, do a 'experimental' simulation and compare the results. Students will then choose a region of their own interest to explore and compare the results with those documented in the IPCC impact reports. Students will gain a greater understanding and appreciation of the process and power of climate modeling.
This teaching activity addresses regional variability as predicted in climate change models for the next century. Using real climatological data from climate models, students will obtain annual predictions for minimum temperature, maximum temperature, precipitation, and solar radiation for Minnesota and California to explore this regional variability. Students import the data into a spreadsheet application and analyze it to interpret regional differences.
This Earth Exploration Toolbook chapter uses ArcGIS and climate data from the National Center for Atmospheric Research (NCAR) Climate Change Scenarios GIS Data Portal to help users learn the basics of GIS-based climate modeling. The five-part exercise involves calculating summer average temperatures for the present day and future climate modeled output, visually comparing the temperature differences for the two model runs, and creating a temperature anomaly map to highlight air temperature increases or decreases around the world.