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Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > Southeast CASC > FY 2012 Projects > Evaluating Downscaled Climate Models for Projecting Future Changes in the Southeast ( Show direct descendants )

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_ScienceBase Catalog
__National and Regional Climate Adaptation Science Centers
___Southeast CASC
____FY 2012 Projects
_____Evaluating Downscaled Climate Models for Projecting Future Changes in the Southeast
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Abstract (from http://link.springer.com/article/10.1007%2Fs10113-013-0410-1): Crop models are one of the most commonly used tools to assess the impact of climate variability and change on crop production. However, before the impact of projected climate changes on crop production can be addressed, a necessary first step is the assessment of the inherent uncertainty and limitations of the forcing data used in these crop models. In this paper, we evaluate the simulated crop production using separate crop models for maize (summer crop) and wheat (winter crop) over six different locations in the Southeastern United States forced with multiple sources of actual and simulated weather data. The paper compares the crop production...
Climate change is likely to have many effects on natural ecosystems in the Southeast U.S. While there is information available to conservation managers and ecologists from the global climate models (GCMs), this information is at too coarse a resolution for use in vulnerability assessments and decision making. To better assess how climate change could affect multiple sectors, including ecosystems, climatologists have created several downscaled climate projections that contain information from GCMs translated to regional or local scales. There are a number of techniques that can be used to create downscaled climate projections, and the number of available downscaled climate projections present challenges to users...
This fact sheet provides highlights from a comprehensive U.S. Geological Survey report that evaluates six widely used downscaled climate projections covering the southeastern United States and recommends best practices for use of downscaled datasets for ecological modeling and decision-making.