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Downscaling socioeconomic and emissions scenarios for global environmental change research: a review
Global change research encompasses various scales from global to local. Impacts analysis in particular often requires spatial downscaling, whereby socioeconomic and emission variables specified at relatively large spatial scales are translated to values at a country or grid level. In this article, t...
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Published in: | Wiley interdisciplinary reviews. Climate change 2010-05, Vol.1 (3), p.393-404 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Global change research encompasses various scales from global to local. Impacts analysis in particular often requires spatial downscaling, whereby socioeconomic and emission variables specified at relatively large spatial scales are translated to values at a country or grid level. In this article, the methods used for spatial downscaling are reviewed, classified, and current applications discussed. It is shown that in recent years, improved methods for downscaling have been developed. Copyright © 2010 John Wiley & Sons, Ltd.
This article is categorized under:
Assessing Impacts of Climate Change > Scale Issues |
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ISSN: | 1757-7780 1757-7799 |
DOI: | 10.1002/wcc.50 |