AbstractClimate and climate change are among scientific topics most widely recognized by the public. Thus, climatologists seek out effective ways of communicating results of their research to various constituencies - a task made difficult by the complexity of the concept of climate. The current standard for communicated variability of climate on the global scale is a map based on the Köppen-Geiger classification (KGC) of climates, and maps of change in average annual temperatures and total annual precipitation for communicating climate change. The ClimateEx (Climate Explorer) project (http://sil.uc.edu/webapps/climateex/) communicates spatial variability and temporal change of global climate in a novel way by using data science concept of search using similarity-based query. ClimateEx is implemented as web-based visual spatial search tool. Users select a location (query) and ClimateEx returns a similarity map which visually communicates locations of places in the world having climates similar to the climate at a query location. ClimateEx can also inform about magnitude of temporal climate change by calculating a global map of local magnitudes of climate change. It offers personalized means of communicating climate heterogeneity and conveying magnitude of climate change in a single map. It has an advantage of relating climate to user’s own experience and is well-suited for communicating character of global climate to specialists and non-specialists alike.
Bulletin of the American Meteorological Society – American Meteorological Society
Published: Oct 26, 2017
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