Global predicted sea-surface iodide concentrations v0.0.0

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.

Date (Publication): 2019-02-08T15:15:57

Date (Creation): 2019-02-08T15:15:57

Citation identifier: https://catalogue.ceda.ac.uk/uuid/02c6f4eea9914e5c8a8390dd09e5709a

Citation identifier: Centre for Environmental Data Analysis (CEDA) / 02c6f4eea9914e5c8a8390dd09e5709a

Citation identifier: doi / http://dx.doi.org/10.5285/02c6f4eea9914e5c8a8390dd09e5709a

Point of contact

Organisation name	Individual name	Electronic mail address	Role
Unavailable	Sherwen, Tomas	Unavailable	Author
Unavailable	Chance, Rosie J.	Unavailable	Author
Unavailable	Tinel, Liselotte	Unavailable	Author
Unavailable	Ellis, Daniel	Unavailable	Author
Unavailable	Evans, Mat J.	Unavailable	Author
Unavailable	Carpenter, Lucy J.	Unavailable	Author
Centre for Environmental Data Analysis (CEDA)		support@ceda.ac.uk	Custodian
Centre for Environmental Data Analysis (CEDA)		support@ceda.ac.uk	Distributor
Unavailable	Carpenter, Lucy	Unavailable	Principal investigator
Centre for Environmental Data Analysis (CEDA)		support@ceda.ac.uk	pointofContact
Centre for Environmental Data Analysis (CEDA)		support@ceda.ac.uk	Publisher

Maintenance and update frequency: Not planned

Update scope: Dataset

Keywords

NE/N009983/1
Iodide
sea-surface
ozone deposition
iodine emission
Ocean
Model
NERC

GEMET - INSPIRE themes, version 1.0

atmospheric conditions

Access constraints: Other restrictions

Other constraints: Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.

Use constraints: Other restrictions

Other constraints: Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.

Spatial representation type: Grid

Language: English

Topic category

Climatology, meteorology, atmosphere

Begin date: 1969-12-31T23:00:00

End date: 1970-11-30T23:00:00

Unique resource identifier: WGS 84

Distribution format

Name	Version
Data are NetCDF formatted.

Distributor contact

Organisation name	Individual name	Electronic mail address	Role
Centre for Environmental Data Analysis (CEDA)		support@ceda.ac.uk	Distributor

OnLine resource

Protocol	Linkage	Name
	https://catalogue.ceda.ac.uk/uuid/02c6f4eea9914e5c8a8390dd09e5709a	CEDA Data Catalogue Page

OnLine resource

Protocol	Linkage	Name
	http://data.ceda.ac.uk/badc/deposited2019/sea-surface-iodide/data/v0.0.0	DOWNLOAD

OnLine resource

Protocol	Linkage	Name
	https://doi.org/10.5285/7e77d6b9-83fb-41e0-e053-6c86abc069d0	Related dataset stored at BODC

OnLine resource

Protocol	Linkage	Name
	https://doi.org/10.5194/essd-2019-40	Sherwen, T., Chance, R. J., Tinel, L., Ellis, D., Evans, M. J., and Carpenter, L. J.: A machine learning based global sea-surface iodide distribution, Earth Syst. Sci. Data Discuss., in review, 2019.

Hierarchy level: Dataset

Conformance result

Title: Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication): 2010-12-08

Statement: Data sent to the Centre for Environmental Data Analysis for archiving from the project participants.

Metadata

File identifier: 02c6f4eea9914e5c8a8390dd09e5709a XML

Metadata language: English

Character set: UTF8

Parent identifier: Global predicted sea-surface iodide concentrations
0e99091596b34b3b846c40134937fe91

Hierarchy level: Dataset

Date stamp: 2026-03-16T03:16:26

Metadata standard name: UK GEMINI

Metadata standard version: 2.3

Metadata author

Organisation name	Individual name	Electronic mail address	Role
Centre for Environmental Data Analysis (CEDA)		support@ceda.ac.uk	Point of contact

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