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Iodine chemistry in the chemistry–climate model SOCOL-AERv2-I.

Authors :
Karagodin-Doyennel, Arseniy
Rozanov, Eugene
Sukhodolov, Timofei
Egorova, Tatiana
Saiz-Lopez, Alfonso
Cuevas, Carlos A.
Fernandez, Rafael P.
Sherwen, Tomás
Volkamer, Rainer
Koenig, Theodore K.
Giroud, Tanguy
Peter, Thomas
Source :
Geoscientific Model Development; 2021, Vol. 14 Issue 10, p6623-6645, 23p
Publication Year :
2021

Abstract

In this paper, we present a new version of the chemistry–climate model SOCOL-AERv2 supplemented by an iodine chemistry module. We perform three 20-year ensemble experiments to assess the validity of the modeled iodine and to quantify the effects of iodine on ozone. The iodine distributions obtained with SOCOL-AERv2-I agree well with AMAX-DOAS observations and with CAM-chem model simulations. For the present-day atmosphere, the model suggests that the iodine-induced chemistry leads to a 3 %–4 % reduction in the ozone column, which is greatest at high latitudes. The model indicates the strongest influence of iodine in the lower stratosphere with 30 ppbv less ozone at low latitudes and up to 100 ppbv less at high latitudes. In the troposphere, the account of the iodine chemistry reduces the tropospheric ozone concentration by 5 %–10 % depending on geographical location. In the lower troposphere, 75 % of the modeled ozone reduction originates from inorganic sources of iodine, 25 % from organic sources of iodine. At 50 hPa, the results show that the impacts of iodine from both sources are comparable. Finally, we determine the sensitivity of ozone to iodine by applying a 2-fold increase in iodine emissions, as it might be representative for iodine by the end of this century. This reduces the ozone column globally by an additional 1.5 %–2.5 %. Our results demonstrate the sensitivity of atmospheric ozone to iodine chemistry for present and future conditions, but uncertainties remain high due to the paucity of observational data of iodine species. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1991959X
Volume :
14
Issue :
10
Database :
Complementary Index
Journal :
Geoscientific Model Development
Publication Type :
Academic Journal
Accession number :
153417657
Full Text :
https://doi.org/10.5194/gmd-14-6623-2021