Articles | Volume 11, issue 3
https://doi.org/10.5194/essd-11-1239-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-11-1239-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
21 Aug 2019
Data description article |
| 21 Aug 2019
| 21 Aug 2019
A machine-learning-based global sea-surface iodide distribution
National Centre for Atmospheric Science, University of York, York, YO10 5DD, UK
Wolfson Atmospheric Chemistry Laboratories, University of York, York, YO10 5DD, UK
Rosie J. Chance
Wolfson Atmospheric Chemistry Laboratories, University of York, York, YO10 5DD, UK
Liselotte Tinel
Wolfson Atmospheric Chemistry Laboratories, University of York, York, YO10 5DD, UK
Daniel Ellis
Wolfson Atmospheric Chemistry Laboratories, University of York, York, YO10 5DD, UK
Mat J. Evans
National Centre for Atmospheric Science, University of York, York, YO10 5DD, UK
Wolfson Atmospheric Chemistry Laboratories, University of York, York, YO10 5DD, UK
Lucy J. Carpenter
Wolfson Atmospheric Chemistry Laboratories, University of York, York, YO10 5DD, UK
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Viral Shah, Daniel J. Jacob, Ruijun Dang, Lok N. Lamsal, Sarah A. Strode, Stephen D. Steenrod, K. Folkert Boersma, Sebastian D. Eastham, Thibaud M. Fritz, Chelsea Thompson, Jeff Peischl, Ilann Bourgeois, Ilana B. Pollack, Benjamin A. Nault, Ronald C. Cohen, Pedro Campuzano-Jost, Jose L. Jimenez, Simone T. Andersen, Lucy J. Carpenter, Tomás Sherwen, and Mat J. Evans
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Simone T. Andersen, Beth S. Nelson, Katie A. Read, Shalini Punjabi, Luis Neves, Matthew J. Rowlinson, James Hopkins, Tomás Sherwen, Lisa K. Whalley, James D. Lee, and Lucy J. Carpenter
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Leigh R. Crilley, Louisa J. Kramer, Francis D. Pope, Chris Reed, James D. Lee, Lucy J. Carpenter, Lloyd D. J. Hollis, Stephen M. Ball, and William J. Bloss
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Arseniy Karagodin-Doyennel, Eugene Rozanov, Timofei Sukhodolov, Tatiana Egorova, Alfonso Saiz-Lopez, Carlos A. Cuevas, Rafael P. Fernandez, Tomás Sherwen, Rainer Volkamer, Theodore K. Koenig, Tanguy Giroud, and Thomas Peter
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Short summary
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Short summary
Iodine plays an important role in the Earth system, as a nutrient to the biosphere and by changing the concentrations of climate and air-quality species. However, there are uncertainties on the magnitude of iodine’s role, and a key uncertainty is our understanding of iodide in the global sea-surface. Here we take a data-driven approach using a machine learning algorithm to convert a sparse set of sea-surface iodide observations into a spatially and temporally resolved dataset for use in models.
Iodine plays an important role in the Earth system, as a nutrient to the biosphere and by...
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