Nested cross-validation Gaussian process to model dimethylsulfide mesoscale variations in warm oligo...
Nested cross-validation Gaussian process to model dimethylsulfide mesoscale variations in warm oligotrophic Mediterranean seawater
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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The study proposes an approach to elucidate spatiotemporal mesoscale variations of seawater Dimethylsulfide (DMS) concentrations, the largest natural source of atmospheric sulfur aerosol, based on the Gaussian Process Regression (GPR) machine learning model. Presently, the GPR was trained and evaluated by nested cross-validation across the warm-oli...
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Nested cross-validation Gaussian process to model dimethylsulfide mesoscale variations in warm oligotrophic Mediterranean seawater
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TN_cdi_doaj_primary_oai_doaj_org_article_215887a93d2440e58572a5e8aff776c9
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_215887a93d2440e58572a5e8aff776c9
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ISSN
2397-3722
E-ISSN
2397-3722
DOI
10.1038/s41612-024-00830-y
