Climate predictions: the influence of nonlinearity and randomness

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Climate predictions: the influence of nonlinearity and randomness

Show simple item record Thompson, J.M. en_US Sieber, J. en_US 2012-10-03T14:52:50Z en_US 2013-03-20T12:36:48Z 2012 en_US
dc.description.abstract The current threat of global warming and the public demand for confident projections of climate change pose the ultimate challenge to science: predicting the future behaviour of a system of such overwhelming complexity as the Earth's climate. This Theme Issue addresses two practical problems that make even prediction of the statistical properties of the climate, when treated as the attractor of a chaotic system (the weather), so challenging. The first is that even for the most detailed models, these statistical properties of the attractor show systematic biases. The second is that the attractor may undergo sudden large-scale changes on a time scale that is fast compared with the gradual change of the forcing (the so-called climate tipping). en_US
dc.identifier.citation Vol. 370 (1962), pp. 1007 - 1011 en_US
dc.identifier.doi 10.1098/rsta.2011.0423 en_US
dc.identifier.uri en_US
dc.language.iso eng en_US
dc.publisher Royal Society en_US
dc.relation.url en_US
dc.subject stochastic closure en_US
dc.subject climate tipping en_US
dc.subject statistical modelling en_US
dc.subject time-series analysis en_US
dc.subject thermodynamics en_US
dc.title Climate predictions: the influence of nonlinearity and randomness en_US 2012-10-03T14:52:50Z en_US 2013-03-20T12:36:48Z
dc.identifier.issn 1364-503X en_US
exeter.contacts.depositing-owner-email Sieber, Jan <> en_US
exeter.contacts.owner-email Sieber, Jan <> en_US England en_US
dc.description Copyright © 2012 The Royal Society en_US
dc.description Journal Article en_US
dc.identifier.journal Philosophical Transactions A: Mathematical, Physical and Engineering Sciences en_US

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