Sea-surface dimethylsulfide (DMS) concentration from satellite data at global and regional scales
The marine biogenic gas dimethylsulfide (DMS) modulates climate by enhancing aerosol light scattering and seeding cloud formation. However, the lack of time- and space-resolved estimates of DMS concentration and emission hampers the assessment of its climatic effects. Here we present DMS SAT , a new...
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ftdoajarticles:oai:doaj.org/article:542dacf8dd284d7fa6772e1915465b9b 2023-05-15T17:36:18+02:00 Sea-surface dimethylsulfide (DMS) concentration from satellite data at global and regional scales M. Galí M. Levasseur E. Devred R. Simó M. Babin 2018-06-01T00:00:00Z https://doi.org/10.5194/bg-15-3497-2018 https://doaj.org/article/542dacf8dd284d7fa6772e1915465b9b EN eng Copernicus Publications https://www.biogeosciences.net/15/3497/2018/bg-15-3497-2018.pdf https://doaj.org/toc/1726-4170 https://doaj.org/toc/1726-4189 doi:10.5194/bg-15-3497-2018 1726-4170 1726-4189 https://doaj.org/article/542dacf8dd284d7fa6772e1915465b9b Biogeosciences, Vol 15, Pp 3497-3519 (2018) Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 article 2018 ftdoajarticles https://doi.org/10.5194/bg-15-3497-2018 2022-12-31T11:10:32Z The marine biogenic gas dimethylsulfide (DMS) modulates climate by enhancing aerosol light scattering and seeding cloud formation. However, the lack of time- and space-resolved estimates of DMS concentration and emission hampers the assessment of its climatic effects. Here we present DMS SAT , a new remote sensing algorithm that relies on macroecological relationships between DMS, its phytoplanktonic precursor dimethylsulfoniopropionate (DMSPt) and plankton light exposure. In the first step, planktonic DMSPt is estimated from satellite-retrieved chlorophyll a and the light penetration regime as described in a previous study (Galí et al., 2015). In the second step, DMS is estimated as a function of DMSPt and photosynthetically available radiation (PAR) at the sea surface with an equation of the form: log 10 DMS = α + β log 10 DMSPt + γ PAR. The two-step DMS SAT algorithm is computationally light and can be optimized for global and regional scales. Validation at the global scale indicates that DMS SAT has better skill than previous algorithms and reproduces the main climatological features of DMS seasonality across contrasting biomes. The main shortcomings of the global-scale optimized algorithm are related to (i) regional biases in remotely sensed chlorophyll (which cause underestimation of DMS in the Southern Ocean) and (ii) the inability to reproduce high DMS ∕ DMSPt ratios in late summer and fall in specific regions (which suggests the need to account for additional DMS drivers). Our work also highlights the shortcomings of interpolated DMS climatologies, caused by sparse and biased in situ sampling. Time series derived from MODIS-Aqua in the subpolar North Atlantic between 2003 and 2016 show wide interannual variability in the magnitude and timing of the annual DMS peak(s), demonstrating the need to move beyond the classical climatological view. By providing synoptic time series of DMS emission, DMS SAT can leverage atmospheric chemistry and climate models and advance our understanding of ... Article in Journal/Newspaper North Atlantic Southern Ocean Directory of Open Access Journals: DOAJ Articles Southern Ocean Biogeosciences 15 11 3497 3519 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 |
spellingShingle |
Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 M. Galí M. Levasseur E. Devred R. Simó M. Babin Sea-surface dimethylsulfide (DMS) concentration from satellite data at global and regional scales |
topic_facet |
Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 |
description |
The marine biogenic gas dimethylsulfide (DMS) modulates climate by enhancing aerosol light scattering and seeding cloud formation. However, the lack of time- and space-resolved estimates of DMS concentration and emission hampers the assessment of its climatic effects. Here we present DMS SAT , a new remote sensing algorithm that relies on macroecological relationships between DMS, its phytoplanktonic precursor dimethylsulfoniopropionate (DMSPt) and plankton light exposure. In the first step, planktonic DMSPt is estimated from satellite-retrieved chlorophyll a and the light penetration regime as described in a previous study (Galí et al., 2015). In the second step, DMS is estimated as a function of DMSPt and photosynthetically available radiation (PAR) at the sea surface with an equation of the form: log 10 DMS = α + β log 10 DMSPt + γ PAR. The two-step DMS SAT algorithm is computationally light and can be optimized for global and regional scales. Validation at the global scale indicates that DMS SAT has better skill than previous algorithms and reproduces the main climatological features of DMS seasonality across contrasting biomes. The main shortcomings of the global-scale optimized algorithm are related to (i) regional biases in remotely sensed chlorophyll (which cause underestimation of DMS in the Southern Ocean) and (ii) the inability to reproduce high DMS ∕ DMSPt ratios in late summer and fall in specific regions (which suggests the need to account for additional DMS drivers). Our work also highlights the shortcomings of interpolated DMS climatologies, caused by sparse and biased in situ sampling. Time series derived from MODIS-Aqua in the subpolar North Atlantic between 2003 and 2016 show wide interannual variability in the magnitude and timing of the annual DMS peak(s), demonstrating the need to move beyond the classical climatological view. By providing synoptic time series of DMS emission, DMS SAT can leverage atmospheric chemistry and climate models and advance our understanding of ... |
format |
Article in Journal/Newspaper |
author |
M. Galí M. Levasseur E. Devred R. Simó M. Babin |
author_facet |
M. Galí M. Levasseur E. Devred R. Simó M. Babin |
author_sort |
M. Galí |
title |
Sea-surface dimethylsulfide (DMS) concentration from satellite data at global and regional scales |
title_short |
Sea-surface dimethylsulfide (DMS) concentration from satellite data at global and regional scales |
title_full |
Sea-surface dimethylsulfide (DMS) concentration from satellite data at global and regional scales |
title_fullStr |
Sea-surface dimethylsulfide (DMS) concentration from satellite data at global and regional scales |
title_full_unstemmed |
Sea-surface dimethylsulfide (DMS) concentration from satellite data at global and regional scales |
title_sort |
sea-surface dimethylsulfide (dms) concentration from satellite data at global and regional scales |
publisher |
Copernicus Publications |
publishDate |
2018 |
url |
https://doi.org/10.5194/bg-15-3497-2018 https://doaj.org/article/542dacf8dd284d7fa6772e1915465b9b |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
North Atlantic Southern Ocean |
genre_facet |
North Atlantic Southern Ocean |
op_source |
Biogeosciences, Vol 15, Pp 3497-3519 (2018) |
op_relation |
https://www.biogeosciences.net/15/3497/2018/bg-15-3497-2018.pdf https://doaj.org/toc/1726-4170 https://doaj.org/toc/1726-4189 doi:10.5194/bg-15-3497-2018 1726-4170 1726-4189 https://doaj.org/article/542dacf8dd284d7fa6772e1915465b9b |
op_doi |
https://doi.org/10.5194/bg-15-3497-2018 |
container_title |
Biogeosciences |
container_volume |
15 |
container_issue |
11 |
container_start_page |
3497 |
op_container_end_page |
3519 |
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1766135759928033280 |