Biogeochemical Argo - Data Products

SONE

Primary Contact of the Product:

Guillaume Liniger
  • Affiliation:MBARI
  • Country:USA
  • Email:liniger at mbari.org

SONE

  • Acronym:SONE
  • Product Name:Southern Ocean Nitrate Estimates
  • Feature Type: Grid
  • Gap-Filling Method: Trained Neural Network
  • Spatial Resolution: 1° × 1°
  • Depth Range (m): 0 - 2000 m (58 levels)
  • Temp. resolution: Monthly
  • Time Range: 2004 > 2023
  • Update Frequency: Can be updated on demand
  • Ref. dataset(s): BGC-Argo
  • Ancillary dataset(s): GOBAI-O2, Roemmich & Gilson Argo Climatology
  • File Format: NetCDF

Product Links

  • Variables Scope:
  • Detailed Variables: Nitrate
  • Area of coverage: Southern Ocean
  • Spatial Resolution: 1° × 1°
SONE: The Southern Ocean Nitrate Estimates

SONE is a 1x1 monthly gridded product of estimated ocean nitrate concentration from a trained neural network applied to the GOBAI-O2 dataset (including T and S from Roemmich&Gilson). The dataset spans 2004-2022, from the surface down to 2000m.

Authors Affiliation
Guillaume Liniger
(MBARI, USA)
Jonathan D. Sharp
(UW, PMEL/NOAA USA))
Yuichiro Takeshita
(MBARI, USA)
Kenneth S. Johnson
(MBARI, USA)
How to cite BGC-Argo Product
We kindly ask users to cite this product as indicated on the product webpage and DOIs provided in the link below. Proper citation ensures that the use of the dataset is correctly tracked and credited. Please also note that OneArgo data products are freely available without restriction. However, to help us track usage and assess the impact of these products, we request that users include an appropriate acknowledgement in any resulting publications or derived products.

In addition to citing the product DOI, please include the following acknowledgement:
"The OneArgo data were collected and made freely available by the International Argo Program and the national programs that contribute to it (https://argo.ucsd.edu, https://www.ocean-ops.org). The OneArgo Program is part of the Global Ocean Observing System."

We greatly appreciate your cooperation in supporting open science and the continued development of these data products.
  • NSF (PLR ‐1425989 and OPP‐1936222)

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