Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > South Central CASC > FY 2016 Projects > Characterizing Uncertainties in Climate Projections to Support Regional Decision-Making > Approved DataSets ( Show direct descendants )
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ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___South Central CASC ____FY 2016 Projects _____Characterizing Uncertainties in Climate Projections to Support Regional Decision-Making ______Approved DataSets Filters
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Global climate models (GCMs) are numerically complex, computationally intensive, physics-based research tools used to simulate our planet’s inter-connected climate system. In addition to improving the scientific understanding of how the large-scale climate system works, GCM simulations of past and future climate conditions can be useful in applied research contexts. When seeking to apply information from global-scale climate projections to address local- and regional-scale climate questions, GCM-generated datasets often undergo statistical post-processing generally known as statistical downscaling (hereafter, SD). There are many different SD techniques, with all using information from observations to address GCM...
Categories: Data;
Types: NetCDF OPeNDAP Service;
Tags: climate,
climate change,
climate projections,
climatologyMeteorologyAtmosphere,
dataset,
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