This dataset contains global spatially predicted sea-surface iodide concentrations at a monthly resolution. This dataset was developed as part of the NERC project Iodide in the ocean:distribution and impact on iodine flux and ozone loss (NE/N009983/1), which aimed to quantify the dominant controls on the sea surface iodide distribution and improve parameterisation of the sea-to-air iodine flux and of ozone deposition.

The main ensemble prediction ("Ensemble Monthly mean ") is provided in a NetCDF (1) file as a single variable. A second file (2) is provided which includes all of the predictions and the standard deviation on the prediction.

(1) predicted_iodide_0.125x0.125_Ns_Just_Ensemble.nc

(2) predicted_iodide_0.125x0.125_Ns_All_Ensemble_members.nc

This is the output of the paper 'A machine learning based global sea-surface iodide distribution' (see related documentation). For ease of use, this output has been re-gridded to various commonly used atmosphere and ocean model resolutions (see table SI table A5 in paper). These re-gridded files are included in the folder titled "regridded_data".

Additionally, a file (3) is provided including the prediction made included data from the Skagerak dataset. As stated in the paper referenced above, it is recommended to use the use the core files (1,2) or their re-gridded equivalents.

(3) predicted_iodide_0.125x0.125_All_Ensemble_members.nc

As new observations are made, we will update the global dataset through a "living data" model. The dataset versions archived here follow semantic versioning (https://semver.org/). The pre-review dataset is achieved in the folder named v0.0.0, with the with publically released versions numbered starting from v1.0.0. Please refer to the referenced paper (see related documentation) for the current version number and information on this.