Stratospheric ozone in 3-D models: A simple chemistry and the cross-tropopause flux

Citation
Ca. Mclinden et al., Stratospheric ozone in 3-D models: A simple chemistry and the cross-tropopause flux, J GEO RES-A, 105(D11), 2000, pp. 14653-14665
Citations number
42
Categorie Soggetti
Earth Sciences
Volume
105
Issue
D11
Year of publication
2000
Pages
14653 - 14665
Database
ISI
SICI code
Abstract
Two simple and computationally efficient models for simulating stratospheri c ozone in three-dimensional global transport models are presented. The fir st, linearized ozone (or Linoz), is a first-order Taylor expansion of strat ospheric chemical rates in which the ozone tendency has been linearized abo ut the local ozone mixing: ratio, temperature, and the overhead column ozon e density. The second, synthetic ozone (or Synoz), is a passive, ozone-like tracer released into the stratosphere at a rate equivalent to that of the cross-tropopause ozone flux which, based on measurements and tracer-tracer correlations, we have calculated to be 475 +/- 120 Tg/Sr. Linoz and Synox h a ie been evaluated in the UC Irvine chemical transport model(CTM) with thr ee different archived meteorological fields: the Goddard Institute for Spar e Studies (GISS) general circulation model (GCM) version II', the GISS GCM version II, and merged forecast data from the European Centre forecast mode l (EC/Oslo). Linoz produced realistic annual, cross-tropopause fluxes of 42 1 Tg/yr for the GISS II' winds and 458 Tg/yr for the EC/Oslo winds; the GIS S II winds produced an unrealistic flux of 790 Tg/yr. Linoz and Synoz profi les in the vicinity of the tropopause using the GISS II' and EC/Oslo winds were found to be in good agreement with observations. We conclude that eith er approach may be adequate for a CTM focusing on tropospheric chemistry bu t that Linoz can also be used for calculating ozone fields interactively wi th the stratospheric circulation in a GCM. A future version of Linoz will a llow for evolving background concentrations of key source gases? such as CH 4 and N2O, and thus be applicable for long-term climate simulations.