The simulation of the Antarctic ozone hole by chemistry-climate models

by H Struthers, G E Bodeker, J Austin, S Bekki, I Cionni, M Dameris, M A Giorgetta, V Grewe, F Le Evre, F Lott, E Manzini, T Peter, E Rozanov, M Schraner show all authors
Atmos. Chem. Phys. Atmospheric Chemistry and Physics ()
Get full text at journal

Abstract

While chemistry-climate models are able to repro-duce many characteristics of the global total column ozone field and its long-term evolution, they have fared less well in simulating the commonly used diagnostic of the area of the Antarctic ozone hole i.e. the area within the 220 Dob-son Unit (DU) contour. Two possible reasons for this are: (1) the underlying Global Climate Model (GCM) does not correctly simulate the size of the polar vortex, and (2) the stratospheric chemistry scheme incorporated into the GCM, and/or the model dynamics, results in systematic biases in the total column ozone fields such that the 220 DU contour is no longer appropriate for delineating the edge of the ozone hole. Both causes are examined here with a view to develop-ing ozone hole area diagnostics that better suit measurement-model inter-comparisons. The interplay between the shape of the meridional mixing barrier at the edge of the vortex and the meridional gradients in total column ozone across the vortex edge is investigated in measurements and in 5 chemistry-climate models (CCMs). Analysis of the simu-lation of the polar vortex in the CCMs shows that the first of the two possible causes does play a role in some models. This in turn affects the ability of the models to simulate the Correspondence to: H. Struthers (h.struthers@itm.su.se) large observed meridional gradients in total column ozone. The second of the two causes also strongly affects the ability of the CCMs to track the observed size of the ozone hole. It is shown that by applying a common algorithm to the CCMs for selecting a delineating threshold unique to each model, a more appropriate diagnostic of ozone hole area can be gen-erated that shows better agreement with that derived from observations.

Cite this document (BETA)

Readership Statistics

14 Readers on Mendeley
by Discipline
 
86% Earth and Planetary Sciences
 
7% Environmental Science
 
7% Chemistry
by Academic Status
 
43% Researcher
 
21% Student > Ph. D. Student
 
7% Professor > Associate Professor
by Country
 
14% Belgium
 
7% Chile
 
7% United States

Sign up today - FREE

Mendeley saves you time finding and organizing research. Learn more

  • All your research in one place
  • Add and import papers easily
  • Access it anywhere, anytime

Start using Mendeley in seconds!

Sign up & Download

Already have an account? Sign in