Third Revision of the Global Surface Seawater Dimethyl Sulfide Climatology (DMS-Rev3)

Type Article
Date 2022-07
Language English
Author(s) Hulswar Shrivardhan1, Simo Rafel2, Galí MartíORCID2, 3, Bell ThomasORCID4, Lana AranchaORCID5, Inamdar SwalehaORCID1, 6, Halloran Paul R.ORCID7, Manville George7, Mahajan Anoop SharadORCID1
Affiliation(s) 1 : Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune, India
2 : Institut de Ciències del Mar (CSIC), Barcelona, Catalonia, Spain
3 : Barcelona Supercomputing Center (BSC), Spain
4 : Plymouth Marine Laboratory (PML), Plymouth, UK
5 : Institut Mediterrani d’Estudis Avançats (IMEDEA, UIB-CSIC), Esporles, Balearic Islands, Spain
6 : Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, India
7 : College of Life and Environmental Sciences, University of Exeter, Exeter, UK
Source Earth System Science Data (1866-3508) (Copernicus GmbH), 2022-07 , Vol. 14 , N. 7 , P. 2963-2987
DOI 10.5194/essd-2021-236
WOS© Times Cited 28
Abstract

This paper presents an updated estimation of the bottom-up global surface seawater dimethyl sulfide (DMS) climatology. This update, called DMS-Rev3, is the third of its kind and includes five significant changes from the last climatology, ‘L11’ (Lana et al., 2011) that was released about a decade ago. The first change is the inclusion of new observations that have become available over the last decade, creating a database of 872,427 observations leading to a ~18-fold increase in raw data as compared to the last estimation The second is significant improvements in data handling, processing, and filtering, to avoid biases due to different observation frequencies which results from different measurement techniques. Thirdly, we incorporate the dynamic seasonal changes observed in the geographic boundaries of the ocean biogeochemical provinces. The fourth change involves the refinement of the interpolation algorithm used to fill in the missing data. And finally, an upgraded smoothing algorithm based on observed DMS variability length scales (VLS) helps to reproduce a more realistic distribution of the DMS concentration data. The results show that DMS-Rev3 estimates the global annual mean DMS concentration to be ~1.87 nM (2.35 nM without a sea-ice mask), i.e., about 4 % lower than the previous bottom-up ‘L11’ climatology. However, significant regional differences of more than 100 % as compared to L11 are observed. The global sea to air flux of DMS is estimated at ~27 TgS yr−1 which is about 4 % lower than L11, although, like the DMS distribution, large regional differences were observed. The largest changes are observed in high concentration regions such as the polar oceans, although oceanic regions that were under-sampled in the past also show large differences between revisions of the climatology. Finally, DMS-Rev3 reduces the previously observed patchiness in high productivity regions.  

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Publisher's official version 25 7 MB Open access
Supplement to the final revised paper 20 4 MB Open access
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How to cite 

Hulswar Shrivardhan, Simo Rafel, Galí Martí, Bell Thomas, Lana Arancha, Inamdar Swaleha, Halloran Paul R., Manville George, Mahajan Anoop Sharad (2022). Third Revision of the Global Surface Seawater Dimethyl Sulfide Climatology (DMS-Rev3). Earth System Science Data, 14(7), 2963-2987. Publisher's official version : https://doi.org/10.5194/essd-2021-236 , Open Access version : https://archimer.ifremer.fr/doc/00755/86741/