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Global Climate Models

Global Climate Models (GCM's) are models of earth's temperatures and precipitation at various locations given a certain atmospheric compositions. Using a sophisticated application of the Navier-Stokes equation climate modelers are able to predict vector paths of hot air masses around the globe.




By estimating what future atmospheric compositions will be like modelers are able to predict air temperature and precipitation conditions for long-term projections over the next century.  These models vary somewhat depending on how the atmospheric composition is estimated and the process run by each research institution. It is difficult to apply this data to localized watershed, however, as the models have a spatial resolution of 200 km x 200 km.

Downscaled Climate Data

In an effort to reduce the spatial resolution of future climate projections and provide more localized and usable data a collaborative initiative has been undertaken to downscale GCM's.  By using a bias-corrected method of downscaling climate projection data is now available at a spatial resolution of 12 km x 12 km over the contiguous United States and parts of Mexico and Canada.  These projections taken into account 16 Global Climate Models and various greenhouse pathways to produce 234 climate projections over virtually any surface of the United States.


              Downscaled Grid             Downscaling Collaborative




Last edited May 8, 2014 at 7:26 PM by dwoodbury, version 3