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Tim Palmer

Emeritus

Sub department

  • Atmospheric, Oceanic and Planetary Physics

Research groups

  • Predictability of weather and climate
Tim.Palmer@physics.ox.ac.uk
Telephone: 01865 (2)72897
Robert Hooke Building, room S43
  • About
  • Publications

Bell's theorem, non-computability and conformal cyclic cosmology: A top-down approach to quantum gravity

AVS Quantum Science American Vacuum Society 3:4 (2021) 040801
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Forecast-based attribution of a winter heatwave within the limit of predictability

Proceedings of the National Academy of Sciences National Academy of Sciences 118:49 (2021) e2112087118

Authors:

Nicholas Leach, Antje Weisheimer, Myles Allen, Tim Palmer

Abstract:

The question of how humans have influenced individual extreme weather events is both scientifically and socially important. However, deficiencies in climate models’ representations of key mechanisms within the process chains that drive weather reduce our confidence in estimates of the human influence on extreme events. We propose that using forecast models that successfully predicted the event in question could increase the robustness of such estimates. Using a successful forecast means we can be confident that the model is able to faithfully represent the characteristics of the specific extreme event. We use this forecast-based methodology to estimate the direct radiative impact of increased CO2 concentrations (one component, but not the entirety, of human influence) on the European heatwave of February 2019.
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Compressing atmospheric data into its real information content

Nature Computational Science Springer Nature 1:11 (2021) 713-724

Authors:

Milan Klöwer, Miha Razinger, Juan J Dominguez, Peter D Düben, Tim N Palmer
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More accuracy with less precision

Quarterly Journal of the Royal Meteorological Society Wiley 147:741 (2021) 4358-4370

Authors:

Simon TK Lang, Andrew Dawson, Michail Diamantakis, Peter Dueben, Samuel Hatfield, Martin Leutbecher, Tim Palmer, Fernando Prates, Christopher D Roberts, Irina Sandu, Nils Wedi
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Building Tangent‐Linear and Adjoint Models for Data Assimilation With Neural Networks

Journal of Advances in Modeling Earth Systems American Geophysical Union (AGU) 13:9 (2021)

Authors:

Sam Hatfield, Matthew Chantry, Peter Dueben, Philippe Lopez, Alan Geer, Tim Palmer
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