Downscaling socioeconomic and emissions scenarios for global environmental change research: a review

被引：69

作者：

van Vuuren, Detlef P. ^{[1
]}

Smith, Steve J. ^{[2
]}

Riahi, Keywan ^{[3
]}

机构：

[1] NetherlandsEnvironm Assessment Agcy, NL-3720 AH Bilthoven, Netherlands

[2] Pacific NW Natl Lab, Joint Global Change Res Inst, College Pk, MD 20740 USA

[3] Int Inst Appl Syst Anal, A-2361 Laxenburg, Austria

来源：

WILEY INTERDISCIPLINARY REVIEWS-CLIMATE CHANGE | 2010年 / 1卷 / 03期

关键词：

AGRICULTURAL LAND-USE; CLIMATE-CHANGE IMPACTS; GROWTH; COVER;

D O I：

10.1002/wcc.50

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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. (C) 2010 John Wiley & Sons, Ltd. WIREs Clim Change 2010 1 393-404

引用

页码：393 / 404

页数：12

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