Marine carbonyl sulfide (OCS) and carbon disulfide (CS 2 ): a compilation of measurements in seawater and the marine boundary layer

• Main Authors: Lennartz, Sinikka T., Marandino, Christa A., Cortes, Pau, Kremser, Stefanie, Law, Cliff, Marriner, Andrew, Simó, Rafel, Quack, Birgit, Uher, Günther, Xie, Huixiang, Xu, Xiaobin, von Hobe, Marc, Andreae, Meinrat O., Aranami, Kazushi, Atlas, Elliot, Berkelhammer, Max, Bingemer, Heinz, Booge, Dennis, Cutter, Gregory
• Format: Article in Journal/Newspaper
• Language: English
• Published: Copernics Publications 2019
• Subjects: info:eu-repo/classification/ddc/550; Arctic; Arctic Ocean
• Online Access: https://juser.fz-juelich.de/record/884902; https://juser.fz-juelich.de/search?p=id:%22FZJ-2020-03307%22

Carbonyl sulfide (OCS) and carbon disulfide (CS2) are volatile sulfur gases that are naturally formed in seawater and exchanged with the atmosphere. OCS is the most abundant sulfur gas in the atmosphere, and CS2 is its most important precursor. They have gained interest due to their direct (OCS) or indirect (CS2 via oxidation to OCS) contribution to the stratospheric sulfate aerosol layer. Furthermore, OCS serves as a proxy to constrain terrestrial CO2 uptake by vegetation. Oceanic emissions of both gases contribute a major part to their atmospheric concentration. Here we present a database of previously published and unpublished, mainly ship-borne measurements in seawater and the marine boundary layer for both gases, available at https://doi.pangaea.de/10.1594/PANGAEA.905430 (Lennartz et al., 2019). The database contains original measurements as well as data digitalized from figures in publications from 42 measurement campaigns, i.e. cruises or time series stations, ranging from 1982 to 2019. OCS data cover all ocean basins except for the Arctic Ocean, as well as all months of the year, while the CS2 dataset shows large gaps in spatial and temporal coverage. Concentrations are consistent across different sampling and analysis techniques for OCS. The database is intended to support the identification of global spatial and temporal patterns and to facilitate the evaluation of model simulations.