Sea surface Dimethylsulfide Concentration and Emission Flux over the North Atlantic Ocean
The data represent the monthly climatology of sea surface Dimythylsulfide (DMS) concentration and sea-to-air Dimythylsulfide flux (FDMS) over the North Atlantic Ocean at 0.25°×0.25° spatial resolution. DMS data were obtained by applying a machine learning predictive algorithm based on Gaussian proce...
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| Format: | Dataset |
| Language: | unknown |
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2022
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| Online Access: | https://zenodo.org/record/7030958 https://doi.org/10.5281/zenodo.7030958 |
| Summary: | The data represent the monthly climatology of sea surface Dimythylsulfide (DMS) concentration and sea-to-air Dimythylsulfide flux (FDMS) over the North Atlantic Ocean at 0.25°×0.25° spatial resolution. DMS data were obtained by applying a machine learning predictive algorithm based on Gaussian process regression (GPR) to model the distribution of daily DMS concentrations in the North Atlantic waters over 24 years (1998-2021). FDMS derived from the predicted DMS concentrations (GPR) and Goddijn-Murphy et al. (2012) parametrization. The scripts are authored by K. Mansour. For more information, please contact me at k.mansour@isac.cnr.it. |
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