Arctic Ocean sensitivity tests to doubling of riverine carbon and nutrient delivery simulated by the NEMO-PISCES model

Date 2019
Author(s) Terhaar JensORCID1, 3, Orr JamesORCID1, Ethé Christian2, Regnier Pierre3, Bopp LaurentORCID4
Affiliation(s) 1 : Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA- CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
2 : Institut Pierre et Simon Laplace, 4 Place Jussieu, 75005 Paris, France
3 : Biogeochemistry and Earth System Modelling, Department of Geoscience, Environment and Society, Université Libre de Bruxelles, Belgium
4 : LMD/IPSL, Ecole Normale Supérieure / PSL Research University, CNRS, Ecole Polytechnique, Sorbonne Université, Paris, France
DOI 10.17882/59399
Publisher SEANOE
Keyword(s) Arctic Ocean, river delivery, sensitivity test, biogeochemistry, carbon, nutrients, NEMO-PISCES
Abstract

This dataset provides model output from idealized NEMO-PISCES simulations on the ORCA1 configuration. The output includes five 80-years simulations: (1) a control run with pre-industrial CO2 concentrations (CTL), (2) a simulation with a 1% increase in atmospheric CO2 per year (CO2), (3) a simulation just like CO2 but with a 1% increase in riverine DOC delivery (DOC), (4) a simulation just like DOC but with a 1% increase in riverine CT delivery (DIC), and (5) a simulation just like DIC but with a 1% increase in riverine nutrient delivery (NUT). The provided variables are annually averaged surface pH, surface aragonite saturation state, depth-integrated CT, air-to-sea CO2 flux,  and depth-integrated net primary production.

Licence CC-BY-SA
Utilisation Data are published without any warranty, express or implied. Authors welcome users to ask questions, complementary model outputs and report problems.
Acknowledgments This work was funded through the EU H2020 project C-CASCADES (Marie Sklodowska-Curie grant 643052). Support is also acknowledged for JCO from the French ANR project SOBUMS (ANR-16-CE01-0014), for LB from the H2020 CRESCENDO grant (no. 641816) and the MTES/FRB Acidoscope project, and for PR from the H2020 VERIFY grant (no. 776810). Simulations were made using HPC resources from the French GENCI-IDRIS program (grant x2015010040).
Data
File Size Format Processing Access
Depth-integradet DIC in the CTL simulation 37 MB NC, NetCDF Raw data Open access
Depth-integradet DIC in the CO2 simulation 37 MB NC, NetCDF Raw data Open access
Depth-integradet DIC in the DOC simulation 36 MB NC, NetCDF Raw data Open access
Depth-integradet DIC in the DIC simulation 37 MB NC, NetCDF Raw data Open access
Depth-integradet DIC in the NUT simulation 37 MB NC, NetCDF Raw data Open access
Surface pH in the DOC simulation 41 MB NC, NetCDF Raw data Open access
Surface pH in the CTL simulation 41 MB NC, NetCDF Raw data Open access
Surface pH in the CO2 simulation 41 MB NC, NetCDF Raw data Open access
Surface pH in the DIC simulation 41 MB NC, NetCDF Raw data Open access
Surface pH in the NUT simulation 41 MB NC, NetCDF Raw data Open access
Air-to-sea CO2 flux in the DOC simulation 37 MB NC, NetCDF Raw data Open access
Air-to-sea CO2 flux in the CTL simulation 37 MB NC, NetCDF Raw data Open access
Air-to-sea CO2 flux in the CO2 simulation 37 MB NC, NetCDF Raw data Open access
Air-to-sea CO2 flux in the DIC simulation 37 MB NC, NetCDF Raw data Open access
Air-to-sea CO2 flux in the NUT simulation 37 MB NC, NetCDF Raw data Open access
Depth-integradet NPP in the DOC simulation 36 MB NC, NetCDF Raw data Open access
Depth-integradet NPP in the CTL simulation 74 MB NC, NetCDF Raw data Open access
Depth-integradet NPP in the CO2 simulation 74 MB NC, NetCDF Raw data Open access
Depth-integradet NPP in the DIC simulation 74 MB NC, NetCDF Raw data Open access
Depth-integradet NPP in the NUT simulation 74 MB NC, NetCDF Raw data Open access
Surface aragonite saturation state in the DOC simulation 11 MB npy Processed data Open access
Surface aragonite saturation state in the CTL simulation 11 MB npy Processed data Open access
Surface aragonite saturation state in the CO2 simulation 11 MB npy Processed data Open access
Surface aragonite saturation state in the DIC simulation 11 MB npy Processed data Open access
Surface aragonite saturation state in the NUT simulation 11 MB npy Processed data Open access
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How to cite 

Terhaar Jens, Orr James, Ethé Christian, Regnier Pierre, Bopp Laurent (2019). Arctic Ocean sensitivity tests to doubling of riverine carbon and nutrient delivery simulated by the NEMO-PISCES model. SEANOE. https://doi.org/10.17882/59399