Skip to main content
Home
Department Of Physics text logo
  • Research
    • Our research
    • Our research groups
    • Our research in action
    • Research funding support
    • Internships for undergraduates
  • Study
    • Undergraduates
    • Postgraduates
  • Engage
    • For alumni
    • For business
    • For schools
    • For the public
Menu
Juno Jupiter image

Myles Allen

Statutory Professor

Sub department

  • Atmospheric, Oceanic and Planetary Physics
Myles.Allen@physics.ox.ac.uk
Telephone: 01865 (2)72085,01865 (2)75895
Atmospheric Physics Clarendon Laboratory, room 116
  • About
  • Publications

Indicate separate contributions of long-lived and short-lived greenhouse gases in emission targets

npj Climate and Atmospheric Science Springer Nature 5 (2022) 5

Authors:

Myles R Allen, Glen P Peters, Keith P Shine, Christian Azar, Olivier Boucher, Michelle Cain, Philippe Ciais, Dave J Frame, Pierre Friedlingstein, Claire Fyson, Thomas Gasser, Bill Hare, Stuart Jenkins, Steven P Hamburg, Daniel JA Johansson, John Lynch, Adrian Macey, Johannes Morfeldt, Alexander Nauels, Michael Oppenheimer, Raymond Pierrehumbert, Carl F Schleussner, Drew Shindell, Stephen M Smith, Katsumasa Tanaka
More details from the publisher
Details from ORA
More details
More details

An analysis of ways to decarbonize conference travel after COVID-19

Nature Nature Research 583 (2020) 356-360

Authors:

Milan Klower, Deborah Hopkins, Myles Allen, James Higham
More details from the publisher
Details from ORA
More details
More details
More details

A multi-model assessment of the changing risks of extreme rainfall events in Bangladesh under 1.5 and 2.0 degrees’ warmer worlds

EGU General Assembly 2020 Copernicus GmbH (2020) 14098

Authors:

Ruksana Haque Rimi, Karsten Haustein, Emily Barbour, Sarah Sparrow, Sihan Li, David Wallom, Myles Allen
More details from the publisher
Details from ORA

Multi-thousand member ensemble atmospheric simulations with global 60km resolution using climateprediction.net

EGU General Assembly 2020 Copernicus GmbH (2020) 10895

Authors:

Peter Watson, Sarah Sparrow, William Ingram, Simon Wilson, Drouard Marie, Giuseppe Zappa, Richard Jones, Daniel Mitchell, Tim Woollings, Myles Allen

Abstract:

Multi-thousand member climate model simulations are highly valuable for showing how extreme weather events will change as the climate changes, using a physically-based approach. However, until now, studies using such an approach have been limited to using models with a resolution much coarser than the most modern systems. We have developed a global atmospheric model with 5/6°x5/9° resolution (~60km in middle latitudes) that can be run in the climateprediction.net distributed computing system to produce such large datasets. This resolution is finer than that of many current global climate models and sufficient for good simulation of extratropical synoptic features such as storms. It will also allow many extratropical extreme weather events to be simulated without requiring regional downscaling. We will show that this model's simulation of extratropical weather is competitive with that in other current models. We will also present results from the first multi-thousand member ensembles produced at this resolution, showing the impact of 1.5°C and 2°C global warming on extreme winter rainfall and extratropical cyclones in Europe.
More details from the publisher
Details from ORA

Finding Ocean States That Are Consistent with Observations from a Perturbed Physics Parameter Ensemble

Journal of Climate American Meteorological Society (2018)

Authors:

S Sparrow, RJ Millar, K Yamazaki, N Massey, Adam Povey, A Bowery, RG Grainger, D Wallom, M Allen

Abstract:

A very large ensemble is used to identify subgrid-scale parameter settings for the HadCM3 model that are capable of best simulating the ocean state over the recent past (1980–2010). A simple particle filtering technique based upon the agreement of basin mean sea surface temperature (SST) and upper 700-m ocean heat content with EN3 observations is applied to an existing perturbed physics ensemble with initial conditions perturbations. A single set of subgrid-scale parameter values was identified from the wide range of initial parameter sets that gave the best agreement with ocean observations for the period studied. The parameter set, different from the standard model parameters, has a transient climate response of 1.68 K. The selected parameter set shows an improved agreement with EN3 decadal-mean SST patterns and the Atlantic meridional overturning circulation (AMOC) at 26°N as measured by the Rapid Climate Change (RAPID) array. Particle filtering techniques as demonstrated here could have a useful role in improving the starting point for traditional model-tuning exercises in coupled climate models.
More details from the publisher
Details from ORA
More details

Pagination

  • Current page 1
  • Page 2
  • Page 3
  • Page 4
  • Page 5
  • Page 6
  • Page 7
  • Page 8
  • Page 9
  • …
  • Next page Next
  • Last page Last

Footer Menu

  • Contact us
  • Giving to the Dept of Physics
  • Work with us

User account menu

  • Log in

Follow us

FIND US

Clarendon Laboratory,

Parks Road,

Oxford,

OX1 3PU

CONTACT US

Tel: +44(0)1865272200

University of Oxfrod logo Department Of Physics text logo
IOP Juno Champion logo Athena Swan Silver Award logo

© University of Oxford - Department of Physics

Cookies | Privacy policy | Accessibility statement

Built by: Versantus

  • Home
  • Research
  • Study
  • Engage
  • Our people
  • News & Comment
  • Events
  • Our facilities & services
  • About us
  • Current students
  • Staff intranet