Climate Change Predictions with a Fully Resolved Stratosphere
Lead Research Organisation:
University of Oxford
Department Name: Oxford Physics
Abstract
Climate model simulations for the next assessment of the Intergovernmental Panel on Climate Change (IPCC) are currently being prepared by climate modelling centres around the world. In this joint project with the Met Office, fully coupled atmosphere-ocean model simulations will be performed and analysed using a 'high-top' version of the Met Office Hadley Centre climate model that extends to 85km and therefore fully resolves processes in the stratosphere. Simulations of the past (1860-present) and into the future (to 2100) will be carried out. The project will examine the climate change signals predicted by the fully coupled ocean-troposphere-stratosphere model and investigate the stratospheric influence on surface climate. These aims will be achieved by careful analysis of the model runs, together with additional experiments to isolate processes, test mechanisms and improve statistical significance. Particular emphasis will be placed on (a) regional and seasonal patterns of surface change, especially the North Atlantic Oscillation and impacts over Europe, and (b) detection and attribution studies, exploiting the well-known tropospheric warming / stratospheric cooling signature of anthropogenic influence. Comparisons will be carried out with observations, with corresponding low-top model runs that do not fully resolve the stratosphere and with runs from high-top models carried out by other international climate modelling groups.
Organisations
People |
ORCID iD |
Myles Allen (Principal Investigator) |
Publications
Allen M
(2016)
New use of global warming potentials to compare cumulative and short-lived climate pollutants
in Nature Climate Change
Lu H
(2017)
Downward Wave Reflection as a Mechanism for the Stratosphere-Troposphere Response to the 11-Yr Solar Cycle
in Journal of Climate
Ma H
(2018)
Changing response of the North Atlantic/European winter climate to the 11 year solar cycle
in Environmental Research Letters
Mitchell D
(2014)
Signatures of naturally induced variability in the atmosphere using multiple reanalysis datasets
in Quarterly Journal of the Royal Meteorological Society
Mitchell D
(2016)
Assessing mid-latitude dynamics in extreme event attribution systems
in Climate Dynamics
Shiogama H
(2016)
Predicting future uncertainty constraints on global warming projections.
in Scientific reports