M
Mark S. Williamson
Researcher at University of Exeter
Publications - 58
Citations - 3980
Mark S. Williamson is an academic researcher from University of Exeter. The author has contributed to research in topics: Climate model & Climate change. The author has an hindex of 18, co-authored 51 publications receiving 3487 citations. Previous affiliations of Mark S. Williamson include Imperial College London & University of Leeds.
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Journal ArticleDOI
Unified View of Quantum and Classical Correlations
TL;DR: This work discusses the problem of the separation of total correlations in a given quantum state into entanglement, dissonance, and classical correlations using the concept of relative entropy as a distance measure of correlations.
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Evolutionary Biology of Parasites
TL;DR: In demonstrating the importance of parasitic interactions for determining population patterns and geographical distributions, Dr. Price integrates the biological attributes that characterize parasites ranging from such diverse groups as viruses, bacteria, protozoa, and fungi, to helminths, mites, insects, and parasitic flowering plants.
Journal ArticleDOI
Taking climate model evaluation to the next level
Veronika Eyring,Veronika Eyring,Peter M. Cox,Gregory M. Flato,Peter J. Gleckler,Gab Abramowitz,Peter M. Caldwell,William D. Collins,William D. Collins,Bettina K. Gier,Bettina K. Gier,Alex Hall,Forrest M. Hoffman,Forrest M. Hoffman,George C. Hurtt,Alexandra Jahn,Chris D. Jones,Stephen A. Klein,John P. Krasting,Lester Kwiatkowski,Ruth Lorenz,Eric D. Maloney,Gerald A. Meehl,Angeline G. Pendergrass,Robert Pincus,Alex C. Ruane,Joellen L. Russell,Benjamin M. Sanderson,Benjamin D. Santer,Steven C. Sherwood,Isla R. Simpson,Ronald J. Stouffer,Mark S. Williamson +32 more
TL;DR: The authors discusses newly developed tools that facilitate a more rapid and comprehensive evaluation of model simulations with observations, process-based emergent constraints that are a promising way to focus evaluation on the observations most relevant to climate projections, and advanced methods for model weighting.
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Emergent constraint on equilibrium climate sensitivity from global temperature variability
TL;DR: An ensemble of climate models are used to define an emergent relationship between ECS and a theoretically informed metric of global temperature variability, which can be calculated from observational records of global warming, which enables tighter constraints to be placed on ECS.