Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/70271
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Type: Journal article
Title: Strengthening forecasts of climate change impacts with multi-model ensemble averaged projections using MAGICC/SCENGEN 5.3
Author: Fordham, D.
Wigley, T.
Watts, M.
Brook, B.
Citation: Ecography: pattern and diversity in ecology, 2012; 35(1):4-8
Publisher: Blackwell Munksgaard
Issue Date: 2012
ISSN: 0906-7590
1600-0587
Statement of
Responsibility: 
Damien A. Fordham, Tom M. L. Wigley, Michael J. Watts and Barry W. Brook
Abstract: <jats:p>Climate output from general circulation models (GCMs) is being used with increasing frequency to explore potential climate change impacts on species’ distributional range shifts and extinction probability. However, different GCMs do not perform equally well in their ability to hindcast the key climatic factors that potentially influence species distributions. Previous research has demonstrated that multi‐model ensemble forecasts perform better than any single GCM in simulating observed conditions at a global scale. MAGICC/SCENGEN 5.3 is a freeware climate model ‘emulator’ that generates multi‐model ensemble forecasts, conditional on regional and/or global performance, for up to twenty GCMs. In combination with a new application ‘M/SGridder’, this software can be used to produce down‐scaled ensemble forecasts, which minimize climate‐model‐related uncertainty, for a range of ecological problems.</jats:p>
Rights: © 2011 The Authors. Ecography © 2012 Nordic Society Oikos
DOI: 10.1111/j.1600-0587.2011.07398.x
Grant ID: http://purl.org/au-research/grants/arc/LP0989420
http://purl.org/au-research/grants/arc/LP0989420
Published version: http://dx.doi.org/10.1111/j.1600-0587.2011.07398.x
Appears in Collections:Aurora harvest 5
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