Model output used in the manuscript "Seasonality in carbon flux attenuation explains spatial variability in transfer efficiency"
- 1. National Oceanography Centre
- 2. School of Earth Sciences, University of Bristol
Description
This *.zip file contains the model output from seasonal variability experiments using the NPZD-DOP GEOMAR biogeochemical model (Kriest et al., 2010) coupled with the MITgcm 2.8deg ocean circulation via the transport matrix method (Khatiwala et al., 2005; Khatiwala, 2007; Khatiwala, 2018).
These model outputs are presented and discussed in the Preprint "Seasonality in carbon flux attenuation explains spatial variability in transfer efficiency", published by Geophysical Research Letters (de Melo Viríssimo et al., 2024). The manuscript describes the experiments performed, the parameter values used and the modifications done to the original model. For this matter, we also refer you to de Melo Viríssimo et al. (2022).
All files uploaded were generated from simulations run by the authors, except: the grid file, the salinity field, and the temperature field, which came with the model; and the density fields, who were computed from the MITgcm 2.8deg transport matrix by Dr Rafaelle Bernadello, using a TEOS-10 Matlab routine (http://www.teos-10.org/).
For specific information about each file uploaded, please refer to the README file. If you have any questions, please feel free to contact me.
Notes
Files
README.txt
Files
(106.5 MB)
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Additional details
Funding
- European Commission
- GOCART - Gauging Ocean organic Carbon fluxes using Autonomous Robotic Technologies 724416
- UK Research and Innovation
- Carbon Uptake and Seasonal Traits in Antarctic Remineralisation Depth (CUSTARD) NE/P021247/2
- UK Research and Innovation
- Controls over Ocean Mesopelagic Interior Carbon Storage (COMICS) NE/M020835/2
- UK Research and Innovation
- Controls over Ocean Mesopelagic Interior Carbon Storage (COMICS) NE/M020835/1
References
- I. Kriest, S. Khatiwala, A. Oschlies (2010), Towards an assessment of simple global marine biogeochemical models of different complexity. Prog. Oceanogr., 86 (3–4): 337-360. https://doi.org/10.1016/j.pocean.2010.05.002
- S. Khatiwala, M. Visbeck, M. A. Cane (2005), Accelerated simulation of passive tracers in ocean circulation models. Ocean Model., 9 (1): 51-69. https://doi.org/10.1016/j.ocemod.2004.04.002
- S. Khatiwala (2007), A computational framework for simulation of biogeochemical tracers in the ocean. Global Biogeochem. Cy., 21: GB3001. https://doi.org/10.1029/2007GB002923
- S. Khatiwala (2018). samarkhatiwala/tmm: Version 2.0 of the Transport Matrix Method software (v2.0). Zenodo. https://doi.org/10.5281/zenodo.1246300
- F. de Melo Viríssimo, A. P. Martin, S. A. Henson (2022), Influence of seasonal variability in flux attenuation on global organic carbon fluxes and nutrient distributions. Global Biogeochem. Cy., 36: e2021GB007101. https://doi.org/10.1029/2021GB007101
- F. de Melo Viríssimo, A. P. Martin, S. A. Henson, J. D. Wilson (2024), Seasonality in carbon flux attenuation explains spatial variability in transfer efficiency. Geophys. Res. Lett., 51: e2023GL107050. https://doi.org/10.1029/2023GL107050