Articles | Volume 18, issue 12
https://doi.org/10.5194/bg-18-3823-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-18-3823-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluation of ocean dimethylsulfide concentration and emission in CMIP6 models
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Martine Michou
CORRESPONDING AUTHOR
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Pierre Nabat
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Manabu Abe
Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Kanazawaku, Yokohama, Kanagawa, Japan
Jane P. Mulcahy
Met Office Hadley Centre, Exeter, UK
Dirk J. L. Olivié
Norwegian Meteorological Institute, Oslo, Norway
Jörg Schwinger
NORCE Climate and Bjerknes Centre for Climate Research, Bergen, Norway
Parvadha Suntharalingam
School of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK
Jerry Tjiputra
NORCE Climate and Bjerknes Centre for Climate Research, Bergen, Norway
Marco van Hulten
Geophysical Institute, University of Bergen and Bjerknes Centre for Climate Research, Bergen, Norway
Michio Watanabe
Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Kanazawaku, Yokohama, Kanagawa, Japan
Andrew Yool
National Oceanography Centre, European Way, Southampton, SO14 3ZH, UK
Roland Séférian
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Data sets
DMS-SAT_GLOBAL_MONTHLY_DMS_DMSPt_CLIM_v1.0.0 (Version 1.0.0) M. Gali https://doi.org/10.5281/zenodo.2558511
Global ocean dimethyl sulfide climatology estimated from observations and an artificial neural network W.-L. Wang, G. Song, F. Primeau, E. Saltzman, T. Bell, and J. K. Moore https://doi.org/10.5281/zenodo.3833233
Short summary
In this study we analyse surface ocean dimethylsulfide (DMS) concentration and flux to the atmosphere from four CMIP6 Earth system models over the historical and ssp585 simulations.
Our analysis of contemporary (1980–2009) climatologies shows that models better reproduce observations in mid to high latitudes. The models disagree on the sign of the trend of the global DMS flux from 1980 onwards. The models agree on a positive trend of DMS over polar latitudes following sea-ice retreat dynamics.
In this study we analyse surface ocean dimethylsulfide (DMS) concentration and flux to the...
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