Filters: Tags: General circulation model (X) > Types: Journal Citation (X)
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The fundamental rationale for statistical downscaling is that the raw outputs of climate change experiments from General Circulation Models (GCMs) are an inadequate basis for assessing the effects of climate change on land-surface processes at regional scales. This is because the spatial resolution of GCMs is too coarse to resolve important sub-grid scale processes (most notably those pertaining to the hydrological cycle) and because GCM output is often unreliable at individual and sub-grid box scales. By establishing empirical relationships between grid-box scale circulation indices (such as atmospheric vorticity and divergence) and sub-grid scale surface predictands (such as precipitation), statistical downscaling...
Categories: Publication;
Types: Citation,
Journal Citation;
Tags: Climate change,
Colorado,
Downscaling,
General circulation model,
Journal of Hydrology,
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