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contributor authorStolarski, Richard S.
contributor authorDouglass, Anne R.
contributor authorSteenrod, Stephen
contributor authorPawson, Steven
date accessioned2017-06-09T16:52:47Z
date available2017-06-09T16:52:47Z
date copyright2006/03/01
date issued2006
identifier issn0022-4928
identifier otherams-75837.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4218217
description abstractStratospheric ozone is affected by external factors such as chlorofluorcarbons (CFCs), volcanoes, and the 11-yr solar cycle variation of ultraviolet radiation. Dynamical variability due to the quasi-biennial oscillation and other factors also contribute to stratospheric ozone variability. A research focus during the past two decades has been to quantify the downward trend in ozone due to the increase in industrially produced CFCs. During the coming decades research will focus on detection and attribution of the expected recovery of ozone as the CFCs are slowly removed from the atmosphere. A chemical transport model (CTM) has been used to simulate stratospheric composition for the past 30 yr and the next 20 yr using 50 yr of winds and temperatures from a general circulation model (GCM). The simulation includes the solar cycle in ultraviolet radiation, a representation of aerosol surface areas based on observations including volcanic perturbations from El Chichon in 1982 and Pinatubo in 1991, and time-dependent mixing ratio boundary conditions for CFCs, halons, and other source gases such as N2O and CH4. A second CTM simulation was carried out for identical solar flux and boundary conditions but with constant ?background? aerosol conditions. The GCM integration included an online ozonelike tracer with specified production and loss that was used to evaluate the effects of interannual variability in dynamics. Statistical time series analysis was applied to both observed and simulated ozone to examine the capability of the analyses for the determination of trends in ozone due to CFCs and to separate these trends from the solar cycle and volcanic effects in the atmosphere. The results point out several difficulties associated with the interpretation of time series analyses of atmospheric ozone data. In particular, it is shown that lengthening the dataset reduces the uncertainty in derived trend due to interannual dynamic variability. It is further shown that interannual variability can make it difficult to accurately assess the impact of a volcanic eruption, such as Pinatubo, on ozone. Such uncertainties make it difficult to obtain an early proof of ozone recovery in response to decreasing chlorine.
publisherAmerican Meteorological Society
titleTrends in Stratospheric Ozone: Lessons Learned from a 3D Chemical Transport Model
typeJournal Paper
journal volume63
journal issue3
journal titleJournal of the Atmospheric Sciences
identifier doi10.1175/JAS3650.1
journal fristpage1028
journal lastpage1041
treeJournal of the Atmospheric Sciences:;2006:;Volume( 063 ):;issue: 003
contenttypeFulltext


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