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 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 [e-mail].