A Statistical Climate Inversion Scheme and its Application in Hydrologic Impact Assessment Studies Associated with Global Climate Variabilityby Daniel Epstein, Colorado State Univ, Fort Collins, United States,
Jorge A. Ramírez, Colorado State Univ, Fort Collins, United States,
Abstract: The use of deterministic atmospheric, general circulation models (GCM's) to understand potential global climate change under doubled CO2 forcing has prompted a better understanding of regional and local hydrologic impacts. Incongruities in model resolutions do not allow for GCM output to be directly used as forcing in the smaller scale hydrologic model. In this work, successful application of daily spatial disaggregation techniques to deal with the scale problem is demonstrated for the upper Rio Grande basin in Colorado. Spatial disaggregation models simulate local temperature and precipitation regimes, preserving spatial covariance structures at all spatial scales. Canadian Climate Centre GCM (CCC) output is disaggregated to site specific locations within the study basin.
Subject Headings: Climate change | Hydrologic models | Statistics | Model analysis | Mathematical models | Scale models | Water circulation | Basins | Temperature effects | North America | Colorado | United States | Rio Grande
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