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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.

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Identification info

Metadata Language
English (en)
Dataset Reference Date ()
2019-02-08T15:15:57
Dataset Reference Date ()
2019-02-08T15:15:57
Identifier
http://catalogue.ceda.ac.uk/uuid/02c6f4eea9914e5c8a8390dd09e5709a
Identifier
Centre for Environmental Data Analysis (CEDA) / 02c6f4eea9914e5c8a8390dd09e5709a
Identifier
doi / http://dx.doi.org/10.5285/02c6f4eea9914e5c8a8390dd09e5709a
  Unavailable - Sherwen, Tomas ( author )
  Unavailable - Chance, Rosie J. ( author )
  Unavailable - Tinel, Liselotte ( author )
  Unavailable - Ellis, Daniel ( author )
  Unavailable - Evans, Mat J. ( author )
  Unavailable - Carpenter, Lucy J. ( author )
  Centre for Environmental Data Analysis (CEDA) - custodian
Rutherford Appleton Laboratory , Harwell , Oxon , OX11 0QX , United Kingdom
01235446432
  Centre for Environmental Data Analysis (CEDA) - distributor
Rutherford Appleton Laboratory , Harwell , Oxon , OX11 0QX , United Kingdom
01235446432
  Centre for Environmental Data Analysis (CEDA) - point_of_contact
Rutherford Appleton Laboratory , Harwell , Oxon , OX11 0QX , United Kingdom
01235446432
  Centre for Environmental Data Analysis (CEDA) - publisher
Rutherford Appleton Laboratory , Harwell , Oxon , OX11 0QX , United Kingdom
01235446432
Maintenance and update frequency
notPlanned
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
Limitations on Public Access
otherRestrictions
Other constraints
Access to these data is available to any registered CEDA user. Please Login or Register for an account to gain access.
Use constraints
otherRestrictions
Other constraints
Use of these data is covered by the following licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ . When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Spatial representation type
grid
Topic category
  • Climatology, meteorology, atmosphere
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W


Begin date
1969-12-31T23:00:00
End date
1970-11-30T23:00:00
 
Code
WGS 84

Distribution Information

Data format
  • Data are NetCDF formatted. ()

Resource Locator
CEDA Data Catalogue Page

Detail and access information for the resource

Resource Locator
DOWNLOAD

Download Data

Resource Locator
Related dataset stored at BODC

No further details.

Resource Locator
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.

No further details.

Resource Locator
CEDA Data Catalogue Page

Detail and access information for the resource

Resource Locator
DOWNLOAD

Download Data

Resource Locator
Related dataset stored at BODC

No further details.

Resource Locator
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.

No further details.

 
Quality Scope
dataset

Report

Dataset Reference Date ()
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 (en)
Character set
8-bit variable size UCS Transfer Format, based on ISO/IEC 10646
Parent identifier
Global predicted sea-surface iodide concentrations 0e99091596b34b3b846c40134937fe91
Resource type
dataset
Metadata Date
2023-01-26T01:17:29
Metadata standard name
UK GEMINI
Metadata standard version
2.3
  Centre for Environmental Data Analysis (CEDA)
Rutherford Appleton Laboratory , Harwell , Oxon , OX11 0QX , United Kingdom
01235446432
 
 

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