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Quantifying future climate change

delete2012-05-25
delete137
PRE
AI
M
Matthew Collins *
R
Richard E. Chandler
P
Peter M. Cox
J
John M. Huthnance
J
J Rougier
D
David B. Stephenson
DOI:10.1038/NCLIMATE1414delete
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Abstract

Abstract

En 中文
Quantitative projections of future climate are in increasing demand from the scientific community, policymakers and other stakeholders. Climate models of varying complexity are used to make projections, but approximations and inadequacies or 'errors' in models mean that those projections are uncertain, sometimes exploring a very wide range of possible futures. Techniques for quantifying the uncertainties are described here in terms of a common framework whereby models are used to explore relationships between past climate and climate change and future projections. Model parameters may be varied to produce a range of different simulations of past climate that are then compared with observations using 'metrics'. If the model parameters can be constrained to a tighter range as a result of observational comparisons, projections can also be constrained to a tighter range. The strengths and weaknesses of different implementations are discussed.
Keywords:
MODEL
PREDICTIONS
SENSITIVITY
ENSEMBLE
UNCERTAINTY
PROJECTIONS
CONSTRAIN
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Nature Climate Change cover
Nature Climate Change
IF:
27.1
Papers:
4.4K
Citations:
5.4W

Organization

N
nerc national oceanography centre
Scholars:
2.8K
Papers: 2.4K
Citations: 1
U
University College London
Scholars:
7.9W
Papers: 6.2W
Citations: 15.7W
U
University of Exeter
Scholars:
2.0W
Papers: 2.1W
Citations: 3.6W
U
university of london
Scholars:
21.5W
Papers: 19.7W
Citations: 305
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