David A. Stainforth mainly investigates Climate model, Climate change, Greenhouse gas, Meteorology and Global warming. He has researched Climate model in several fields, including Atmospheric sciences and Downscaling. David A. Stainforth has included themes like Range and Transient climate simulation in his Greenhouse gas study.
His Range research is multidisciplinary, incorporating perspectives in Climatology, Probability density function, Global change and Climate sensitivity. His Meteorology study integrates concerns from other disciplines, such as Geodesy, Ocean general circulation model, Free surface and Barotropic fluid. David A. Stainforth works mostly in the field of Global warming, limiting it down to topics relating to Management science and, in certain cases, Decision support system, Probabilistic analysis of algorithms, Relevance and Argument, as a part of the same area of interest.
His main research concerns Climate change, Climate model, Climatology, Meteorology and Environmental resource management. His research integrates issues of Management science, Econometrics and Greenhouse gas in his study of Climate change. David A. Stainforth studied Greenhouse gas and Probability density function that intersect with Global change.
The concepts of his Climate model study are interwoven with issues in Actuarial science, Probabilistic logic, Downscaling, General Circulation Model and Operations research. His Climatology study combines topics from a wide range of disciplines, such as Atmosphere, Time series, Mean radiant temperature, Range and Scale. The study incorporates disciplines such as Demand management, Coproduction, Expert elicitation and Water resources in addition to Environmental resource management.
David A. Stainforth spends much of his time researching Climate change, Climatology, Time series, Langevin dynamics and Environmental planning. David A. Stainforth studies Climate change, namely Climate sensitivity. His work deals with themes such as Global climate, Average return, Range, Global change and Heat wave, which intersect with Climatology.
His Langevin dynamics research is multidisciplinary, relying on both Statistical mechanics, Stochastic modelling, Energy balance, Work and Langevin equation. His research is interdisciplinary, bridging the disciplines of Climate change mitigation and Environmental planning. His Physical geography research includes elements of Agriculture, Ecosystem, Temperature record, Sustainability and Last Glacial Maximum.
His primary areas of investigation include Climate change, Climate sensitivity, Model parameters, Economic cost and Econometrics. The Climate change study combines topics in areas such as Climatology and Last Glacial Maximum. His work carried out in the field of Climatology brings together such families of science as Time series, Global climate, Average return, Range and Heat wave.
His research in Last Glacial Maximum intersects with topics in Global and Planetary Change, Climate model, Forcing and Physical geography. His work in Climate sensitivity incorporates the disciplines of Small number and Damages.
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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.
Nature (2004)
Uncertainty in predictions of the climate response to rising levels of greenhouse gases.
David A. Stainforth;T. Aina;C. Christensen;M. Collins.
Nature (2005)
The Development of a Free-Surface Bryan–Cox–Semtner Ocean Model
Peter D. Killworth;David Stainforth;David J. Webb;Stephen M. Paterson.
Journal of Physical Oceanography (1991)
Confidence, uncertainty and decision-support relevance in climate predictions.
David A. Stainforth;David A. Stainforth;M. R. Allen;Edward Tredger;Leonard A. Smith.
Philosophical Transactions of the Royal Society A (2007)
Multispectral imaging contributions to global land ice measurements from space
Jeffrey S. Kargel;Michael J. Abrams;Michael P. Bishop;Andrew Bush.
Remote Sensing of Environment (2005)
Issues in the interpretation of climate model ensembles to inform decisions
David A Stainforth;David A Stainforth;Thomas E Downing;Richard Washington;Ana Lopez.
Philosophical Transactions of the Royal Society A (2007)
Constraining Climate Sensitivity from the Seasonal Cycle in Surface Temperature
Reto Knutti;Gerald A. Meehl;Myles R. Allen;David A. Stainforth.
Journal of Climate (2006)
Constraining climate forecasts: The role of prior assumptions
D. J. Frame;B. B. B. Booth;J. A. Kettleborough;D. A. Stainforth.
Geophysical Research Letters (2005)
Realistic quasi‐biennial oscillations in a simulation of the global climate
Adam A. Scaife;Neal Butchart;Christopher D. Warner;David Stainforth.
Geophysical Research Letters (2000)
Constraints on climate change from a multi‐thousand member ensemble of simulations
C. Piani;D. J. Frame;D. A. Stainforth;M. R. Allen.
Geophysical Research Letters (2005)
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