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Myles R. Allen

Researcher at University of Oxford

Publications -  307
Citations -  37186

Myles R. Allen is an academic researcher from University of Oxford. The author has contributed to research in topics: Climate change & Climate model. The author has an hindex of 82, co-authored 295 publications receiving 32668 citations. Previous affiliations of Myles R. Allen include National Oceanography Centre, Southampton & Rutherford Appleton Laboratory.

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Climate Change 2014 : Synthesis Report

TL;DR: Pachauri et al. as discussed by the authors proposed a core writing team consisting of Rajendra K. Ravindranath, Myles R. Allen, Vicente R. Barros, John Broome, John A. Church, Leon Clarke, Qin Dahe (China), Purnamita Dasgupta (India), Navroz K. Dubash (India).
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Greenhouse-gas emission targets for limiting global warming to 2 °C

TL;DR: A comprehensive probabilistic analysis aimed at quantifying GHG emission budgets for the 2000–50 period that would limit warming throughout the twenty-first century to below 2 °C, based on a combination of published distributions of climate system properties and observational constraints is provided.
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Constraints on future changes in climate and the hydrologic cycle

TL;DR: It will be substantially harder to quantify the range of possible changes in the hydrologic cycle than in global-mean temperature, both because the observations are less complete and because the physical constraints are weaker.
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Human contribution to the European heatwave of 2003

TL;DR: It is very likely (confidence level >90%) that human influence has at least doubled the risk of a heatwave exceeding this threshold magnitude in 2003, but in no other year since the start of the instrumental record in 1851.
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Warming caused by cumulative carbon emissions towards the trillionth tonne

TL;DR: It is found that the peak warming caused by a given cumulative carbon dioxide emission is better constrained than the warming response to a stabilization scenario, and policy targets based on limiting cumulative emissions of carbon dioxide are likely to be more robust to scientific uncertainty than emission-rate or concentration targets.