Preprints
https://doi.org/10.5194/essd-2021-236
https://doi.org/10.5194/essd-2021-236

  28 Sep 2021

28 Sep 2021

Review status: this preprint is currently under review for the journal ESSD.

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

Shrivardhan Hulswar1, Rafel Simo2, Martí Galí2,3, Thomas Bell4, Arancha Lana5, Swaleha Inamdar1,6, Paul R. Halloran7, George Manville7, and Anoop Sharad Mahajan1 Shrivardhan Hulswar et al.
  • 1Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune, India
  • 2Institut de Ciències del Mar (CSIC), Barcelona, Catalonia, Spain
  • 3Barcelona Supercomputing Center (BSC)
  • 4Plymouth Marine Laboratory (PML), Plymouth, UK
  • 5Institut Mediterrani d’Estudis Avançats (IMEDEA, UIB-CSIC), Esporles, Balearic Islands, Spain
  • 6Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, India
  • 7College of Life and Environmental Sciences, University of Exeter, Exeter, UK

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.  

Shrivardhan Hulswar et al.

Status: open (until 24 Nov 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-236', Giuseppe M.R. Manzella, 21 Oct 2021 reply

Shrivardhan Hulswar et al.

Data sets

Third Revision of the Global Surface Seawater Dimethyl Sulfide Climatology (DMS-Rev3) Anoop Mahajan https://doi.org/10.17632/hyn62spny2.1

Model code and software

Third Revision of the Global Surface Seawater Dimethyl Sulfide Climatology (DMS-Rev3) Anoop Mahajan https://doi.org/10.17632/hyn62spny2.1

Shrivardhan Hulswar et al.

Viewed

Total article views: 345 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
281 54 10 345 25 6 4
  • HTML: 281
  • PDF: 54
  • XML: 10
  • Total: 345
  • Supplement: 25
  • BibTeX: 6
  • EndNote: 4
Views and downloads (calculated since 28 Sep 2021)
Cumulative views and downloads (calculated since 28 Sep 2021)

Viewed (geographical distribution)

Total article views: 322 (including HTML, PDF, and XML) Thereof 322 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 24 Oct 2021
Download
Short summary
The third climatological estimation of sea-surface DMS concentrations based on in-situ measurements was created. The update includes a much larger input dataset and includes improvements in the data unification, filtering, and smoothing algorithm. The DMS-Rev3 climatology provides more realistic monthly estimates of DMS and shows significant regional differences compared to the past climatologies.