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Marine carbonyl sulfide (OCS) and carbon disulfide (CS<sub>2</sub>): a compilation of measurements in seawater and the marine boundary layer
oleh: S. T. Lennartz, S. T. Lennartz, C. A. Marandino, M. von Hobe, M. O. Andreae, M. O. Andreae, K. Aranami, E. Atlas, M. Berkelhammer, H. Bingemer, D. Booge, G. Cutter, P. Cortes, S. Kremser, C. S. Law, C. S. Law, A. Marriner, R. Simó, B. Quack, G. Uher, H. Xie, X. Xu
| Format: | Article |
|---|---|
| Diterbitkan: | Copernicus Publications 2020-03-01 |
Deskripsi
<p>Carbonyl sulfide (OCS) and carbon disulfide (<span class="inline-formula">CS<sub>2</sub></span>) 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 <span class="inline-formula">CS<sub>2</sub></span> is its most important precursor. They have attracted increased interest due to their direct (OCS) or indirect (<span class="inline-formula">CS<sub>2</sub></span> via oxidation to OCS) contribution to the stratospheric sulfate aerosol layer. Furthermore, OCS serves as a proxy to constrain terrestrial <span class="inline-formula">CO<sub>2</sub></span> 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 Here we present a database of previously published and unpublished (mainly shipborne) measurements in seawater and the marine boundary layer for both gases, available at <a href="https://doi.org/10.1594/PANGAEA.905430">https://doi.org/10.1594/PANGAEA.905430</a> (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 <span class="inline-formula">CS<sub>2</sub></span> dataset shows large gaps in spatial and temporal coverage.<span id="page592"/> 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.</p>