modelling

publication

AVOID 1: Modeling the Role of Remaining Tropical Forests in Climate Change Mitigation

September 17, 2013
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At the time this study was carried out, land use change (LUC) resulting from deforestation and other smaller sources contributed ~17% of global anthropogenic greenhouse gas emissions, whilst more recently (29) the deforestation component alone has been estimated to contribution 11% of the global total.. SRES baselines assume […]

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publication

AVOID 1: Global-scale impacts of climate change at different levels of forcing

November 23, 2012
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This report describes the global and regional results of research on the physical impacts of climate change conducted under Work Stream 1, Deliverable 3 of the AVOID programme. It examines the climate change impacts under the four IPCC RCP scenarios (RCPs 2.6, 4.5, 6.0 and […]

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publication

AVOID 1: Scoping study: modelling the interaction between mitigation and adaptation for decision making

August 16, 2012
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Key outcomes

• Adaptation and mitigation are complementary measures.

• Globally, one cannot trade the concept of ‘1 degree of mitigation’ with that of ‘1 degree of adaptation’, owing to the very different potential for adaptation in different sectors and regions, the issue of scale, the dynamics of […]

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publication

AVOID 1: Comparison of AVOID work with overseas analyses

August 8, 2012
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AVOID has developed a large number of emissions scenarios and made projections of future climate changes associate with each. To date no direct quantitative comparison with other modelling frameworks has been performed. This study compares AVOID climate projections with those from a number of different models, from Integrated […]

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publication

AVOID 1: Improved rapid response climate impacts projections

April 2, 2012
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A new modelling framework is developed to make rapid projections of climate change impacts, at a regionally aggregated level, for a number of different climate change impacts. The framework uses existing and accepted modelling and statistical techniques and incorporates scientific understanding of uncertainty in projections of future climate […]

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