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• W2080334302 abstract "CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsSpecials CR 43:241-249 (2010) - DOI: https://doi.org/10.3354/cr00875 Areal downscaling of global climate models: an approach that avoids data remodeling J. Charlery1,*, L. Nurse2 1Department of Computer Science, Mathematics and Physics, and 2Centre for Resource Management and Environmental Studies (CERMES), University of the West Indies, Cave Hill Campus, PO Box 4, Barbados BB11000, West Indies *Email: john.charlery@cavehill.uwi.edu ABSTRACT: Since the conceptualization and evolution of the global climate models (GCMs), the necessity to resolve the data generated to areal representations below the very large grid boxes of those models has also been apparent. Different approaches, such as statistical downscaling and regional climate modeling, have been developed over the past few years to address this issue. We present an approach to downscaling GCM output data to finer areal resolutions without having to remodel the GCM data. Our algorithm uses a combination of interpolation equations and the historical relationships of observation points within the geographical area of study to resolve the downscaled predicted values. A comparative analysis of the algorithm’s results with those of a regional climate model which used the same GCM data as boundary conditions indicates that the algorithm’s results may be more faithful to both the local climatology and the GCM output. Furthermore, in experiments conducted in Barbados for the case study, a mean of 78% of the values generated by this method were within 30% of the observed data, and a mean of 60% of the generated values fell within 20% of the observed values. KEY WORDS: Climate model · GCM · Downscaling · Barbados · Climate variables · High resolution Full text in pdf format Supplementary material PreviousNextCite this article as: Charlery J, Nurse L (2010) Areal downscaling of global climate models: an approach that avoids data remodeling. Clim Res 43:241-249. https://doi.org/10.3354/cr00875Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in CR Vol. 43, No. 3. Online publication date: November 10, 2010 Print ISSN: 0936-577X; Online ISSN: 1616-1572 Copyright © 2010 Inter-Research." @default.
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• W2080334302 title "Areal downscaling of global climate models: an approach that avoids data remodeling" @default.
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