Biogeosciences
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Articles | Volume 16, issue 13
Articles | Volume 16, issue 13
https://doi.org/10.5194/bg-16-2617-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-16-2617-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 13
Research article
 | 
05 Jul 2019
Research article |  | 05 Jul 2019

Global trends in marine nitrate N isotopes from observations and a neural network-based climatology

Patrick A. Rafter, Aaron Bagnell, Dario Marconi, and Timothy DeVries

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Short summary
The N isotopic composition of nitrate (nitrate δ15N) is a useful tracer of ocean N cycling and many other ocean processes. Here, we use a global compilation of marine nitrate δ15N as an input, training, and validating dataset for an artificial neural network (a.k.a., machine learning) and examine basin-scale trends in marine nitrate δ15N from the surface to the seafloor.
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