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    Global trends in marine nitrate N isotopes from observations and a neural network-based climatology (2019)
    Copernicus
    Details
    Publication Date: 2019
    Description: 〈b〉Global trends in marine nitrate N isotopes from observations and a neural network-based climatology〈/b〉〈br〉 Patrick A. Rafter, Aaron Bagnell, Dario Marconi, and Timothy DeVries〈br〉 Biogeosciences Discuss., https//doi.org/10.5194/bg-2018-525,2019〈br〉 〈b〉Manuscript under review for BG〈/b〉 (discussion: open, 0 comments)〈br〉 The N isotopic composition of nitrate (〈q〉nitrate 〈i〉δ〈/i〉〈sup〉15〈/sup〉N〈/q〉) is a useful tracer of ocean N cycling and many other ocean processes. Here, we use a global compilation of marine nitrate 〈i〉δ〈/i〉〈sup〉15〈/sup〉N as an input, training, and validating dataset for an artificial neural network (a.k.a., 〈q〉machine learning〈/q〉) and examine basin-scale trends in marine nitrate 〈i〉δ〈/i〉〈sup〉15〈/sup〉N from the surface to the seafloor.
    Print ISSN: 1810-6277
    Electronic ISSN: 1810-6285
    Topics: Biology , Geosciences
    Published by Copernicus on behalf of The European Geosciences Union (EGU).
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