A machine-learning-based global sea-surface iodide distribution

Sherwen, Tomás orcid.org/0000-0002-3006-3876, Chance, Rosie J. orcid.org/0000-0002-5906-176X, Tinel, Liselotte orcid.org/0000-0003-1742-2755 et al. (3 more authors) (2019) A machine-learning-based global sea-surface iodide distribution. Earth System Science Data. pp. 1239-1262. ISSN 1866-3516

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© Author(s) 2019.

Keywords: Machine Learning,iodide,ozone,climate,airquality,iodine,Ozone deposition
Dates:
  • Published: 21 August 2019
  • Accepted: 25 July 2019
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Chemistry (York)
Funding Information:
Funder
Grant number
NATURAL ENVIRONMENT RESEARCH COUNCIL
R8/H12/83/036
NATURAL ENVIRONMENT RESEARCH COUNCIL
NE/N009983/1
Depositing User: Pure (York)
Date Deposited: 22 Aug 2019 09:30
Last Modified: 16 Dec 2024 00:10
Published Version: https://doi.org/10.5194/essd-11-1239-2019
Status: Published
Refereed: Yes
Identification Number: 10.5194/essd-11-1239-2019
Related URLs:
Open Archives Initiative ID (OAI ID):

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Description: essd-11-1239-2019

Licence: CC-BY 2.5

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