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David A. Stainforth
Researcher at London School of Economics and Political Science
Publications - 82
Citations - 7183
David A. Stainforth is an academic researcher from London School of Economics and Political Science. The author has contributed to research in topics: Climate change & Climate model. The author has an hindex of 28, co-authored 74 publications receiving 6446 citations. Previous affiliations of David A. Stainforth include University of Oxford & University of Twente.
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Journal ArticleDOI
Quantification of modelling uncertainties in a large ensemble of climate change simulations
James M. Murphy,David M. H. Sexton,David N. Barnett,Gareth S. Jones,Mark J. Webb,Matthew Collins,David A. Stainforth +6 more
TL;DR: A systematic attempt to determine the range of climate changes consistent with these uncertainties, based on a 53-member ensemble of model versions constructed by varying model parameters, which produces a range of regional changes much wider than indicated by traditional methods based on scaling the response patterns of an individual simulation.
Journal ArticleDOI
Uncertainty in predictions of the climate response to rising levels of greenhouse gases.
David A. Stainforth,T. Aina,C. Christensen,Matthew Collins,N. Faull,David J. Frame,J. A. Kettleborough,Simon R. Knight,Andrew J. Martin,James M. Murphy,C. Piani,David M. H. Sexton,Leonard A. Smith,Robert A. Spicer,Alan J. Thorpe,Myles R. Allen +15 more
TL;DR: Results from the ‘climateprediction.net’ experiment are presented, the first multi-thousand-member grand ensemble of simulations using a general circulation model and thereby explicitly resolving regional details, finding model versions as realistic as other state-of-the-art climate models but with climate sensitivities ranging from less than 2 K to more than 11’K.
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Confidence, uncertainty and decision-support relevance in climate predictions.
TL;DR: A reassessment of the role of complex climate models as predictive tools on decadal and longer time scales is argued for and a reconsideration of strategies for model development and experimental design is considered.
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The Development of a Free-Surface Bryan–Cox–Semtner Ocean Model
TL;DR: In this paper, a version of the Bryan-Cox-Semtner numerical ocean general circulation model, adapted to include a free surface, is described, which is designed for the following uses: tidal studies (a tidal option is explicitly included), assimilation of altimetric data (since the surface elevation is now a prognostic variable); and in situations where accurate relaxation to obtain the streamfunction in the original model is too time consuming.
Journal ArticleDOI
Multispectral imaging contributions to global land ice measurements from space
Jeffrey S. Kargel,Michael Abrams,Michael P. Bishop,Andrew B. G. Bush,Gordon S. Hamilton,Hester Jiskoot,Andreas Kääb,Hugh H. Kieffer,Ella M. Lee,Frank Paul,Frank Rau,Bruce Raup,John F. Shroder,Deborah L. Soltesz,David A. Stainforth,Leigh A. Stearns,Rick L. Wessels +16 more
TL;DR: The Global Land Ice Measurements from Space (GLIMS) project as mentioned in this paper is an international consortium established to acquire satellite images of the world's glaciers, analyse them for glacier extent and changes, and assess change data for causes and implications for people and the environment.