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Daniel M. Mitchell

Researcher at University of Bristol

Publications -  90
Citations -  4624

Daniel M. Mitchell is an academic researcher from University of Bristol. The author has contributed to research in topics: Climate change & Global warming. The author has an hindex of 29, co-authored 83 publications receiving 3537 citations. Previous affiliations of Daniel M. Mitchell include Monash University, Clayton campus & University of Reading.

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Impacts of 1.5°C Global Warming on Natural and Human Systems

Ove Hoegh-Guldberg, +86 more
TL;DR: In this article, the authors present a survey of women's sportswriters in South Africa and Ivory Coast, including: Marco Bindi (Italy), Sally Brown (UK), Ines Camilloni (Argentina), Arona Diedhiou (Ivory Coast/Senegal), Riyanti Djalante (Japan/Indonesia), Kristie L. Ebi (USA), Francois Engelbrecht (South Africa), Joel Guiot (France), Yasuaki Hijioka (Japan), Shagun Mehrotra (USA/India), Ant
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Stratospheric influence on tropospheric jet streams, storm tracks and surface weather

TL;DR: A review of the influence of the atmospheric layer on storm tracks and surface weather suggests that the dynamical links between the layers hold across timescales as discussed by the authors, and that the atmospheric layers can exert a strong downward influence.
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Attributing human mortality during extreme heat waves to anthropogenic climate change

TL;DR: In this paper, the role of human activity on climate and heat-related mortality in an event attribution framework is quantified, using publicly-donated computing, using many thousands of climate simulations of a high-resolution regional climate model.
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The influence of stratospheric vortex displacements and splits on surface climate

TL;DR: In this article, the authors compared a new classification technique of weak vortex events, based on the distribution of potential vorticity, with that of an existing technique and demonstrated that the subdivision of such events into vortex displacements and vortex splits has important implications for tropospheric weather patterns on weekly to monthly time scales.
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Half a degree additional warming, prognosis and projected impacts (HAPPI): background and experimental design

TL;DR: In this article, the authors present the design of the half a degree additional warming, projections, prognosis and impacts (HAPPI) experiment, which provides a framework for the generation of climate data describing how the climate, and in particular extreme weather, might differ from the present day in worlds that are 1.5 and 2.0 degrees warmer than pre-industrial conditions.