Reconciling anthropogenic climate change and variability on decadal timescales: the challenge
Jones, Roger ORCID: 0000-0001-6970-2797
(2015)
Reconciling anthropogenic climate change and variability on decadal timescales: the challenge.
Working Paper.
VISES, Victoria University, Melbourne, Australia.
Abstract
Supporting papers exploring the relationship between anthropogenic climate change and variability on decadal timescales, conclude that gradually increasing radiative forcing interacts with internal variability, producing a series of nonlinear responses manifesting as shifts. For temperature, this produces a step‐ladder like progression under low external forcing that becomes escalator‐like under greater forcing. The dominant gradualist narrative of climate change, which communicated climate change as being a gradual process modulated by climate variability, is therefore considered to be obsolete. This paper summarises these findings and then goes on to explore their implications for methods of climate detection and attribution, prediction, adaptation, mitigation and communication. Currently, these methods depend heavily on linear methods based on least squares trend analysis, but if climate risks are to be characterised accurately, methods to detect climate shifts, to understand and attribute their causes, to characterise climate risks for adaptation and mitigation, and communicate these to the public, all need to be developed.
Additional Information | Commissioned by: VISES, Victoria University. |
Item type | Monograph (Working Paper) |
URI | https://vuir.vu.edu.au/id/eprint/35212 |
Official URL | http://vises.org.au/documents/climate/36_Jones_201... |
ISBN | 9781862727243 |
Subjects | Historical > FOR Classification > 0401 Atmospheric Sciences Historical > FOR Classification > 1402 Applied Economics Historical > Faculty/School/Research Centre/Department > Victoria Institute of Strategic Economic Studies (VISES) |
Keywords | decadal variability; climate change; regime change; nonlinear dynamics; detection and attribution; science communication; forecasting |
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