Douglas M. Flewelling, Ph.D.
Fang Ren, Ph.D.
Decades of research now show that the planet is slowly warming and that this trend will affect life on Earth over the long term. Water supply, weather patterns, and disease are examples of the many ways in which climate change will directly affect humans. Mitigation planning efforts will require new ways of thinking about, visualizing, and analyzing the massive amounts of forecast data now available from a multitude of climate models.
Various temperature-forecast models and datasets exist to help analyze climate change effects. This project converted one of those into a spatial database, extracted yearly averages for a selected set of United States cities, and used them to create lists of which cities’ temperatures are forecast to be most analogous to which others at various forecast years. A web application built with ESRI’s ArcGIS Server and Flex API visually linked these analogs to compare and contrast disparate geographic locations in new ways. A disciplined use of accepted design practices will allow this example to be easily adapted and extended in future analyses.
Deaton, M. (2010). 21st Century City Temperature Analogs in the United States (Master's thesis, University of Redlands). Retrieved from https://inspire.redlands.edu/gis_gradproj/35