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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Next generation global ice-ocean-biogeochemistry coupled model with 13C-cycling (GFDL MOM5-BLING13C)

Authors: Claret, Mariona; Sonnerup, Rolf E; Quay, Paul D;

Next generation global ice-ocean-biogeochemistry coupled model with 13C-cycling (GFDL MOM5-BLING13C)

Abstract

======= DESCRIPTION ======= This is the model output supporting our paper A next generation ocean carbon isotope model for climate studies I: Steady state controls on ocean 13C (2021 Global Biogeochemical Cycles). This model output simulates the transient response of ocean carbon biogeochemistry to anthropogenic CO2 and 13CO2 atmospheric emissions with a nominal lateral resolution of 1° and 50 vertical levels. The model uses the NOAA's Geophysical Fluid Dynamics Laboratory (GFDL) MOM5 coupled to the NOAA-GFDL Biogeochemistry with Light Iron Nutrients and Gas (BLING) with 13C-cycling. Atmospheric forcing is prescribed using the repeating annual cycle of the Common Ocean Reference Experiment version 2 normal year forcing dataset (COREv2-NYF). The implementation of 13C-cycling applies isotopic fractionations during air-sea gas exchange, photosynthetic production of organic matter, and formation of calcium carbonate. The sensitivity of dissolved inorganic 13C in the ocean to the CO2 gas exchange rate is explored by repeating the simulation twice, once using the latest OMIP-CMIP6 protocol for the k-U10 parameterization (standard) and once using the previous OCMIP2 protocol (fast-gas-exchange). Files information: ocean_static.nc: Static fields (longitude, latitude, area). 1990-2002.ocean_month.nc: Monthly output between 1990 and 2002 of ocean physical variables (temperature, salinity, averaged mixed layer depth, maximum mixed layer depth). 1990-2002.ocean_bling_trc_month_CMIP6.nc: Monthly output between 1990 and 2002 of biogeochemical variables* for the simulation using the OMIP-CMIP6 air-sea gas exchange protocol. 1970_1989_d13c_org_mldave_CMIP6.nc: Monthly output between 1970 and 1989 of d13C of organic matter averaged over the mixed layer. 1990-2002.ocean_bling_trc_month_OCMIP2.nc: Monthly output between 1990 and 2002 of biogeochemical variables* for the simulation using the OCMIP2 air-sea gas exchange protocol. * Biogeochemical variables are dissolved inorganic carbon, dissolved inorganic carbon-13, oxygen, and dissolved inorganic phosphate. ======= HOW TO CITE ======= This model output can be freely distributed, but please cite it using the following paper: Claret, M., Sonnerup, R. E., & Quay, P. D. (2021). A next generation ocean carbon isotope model for climate studies I: Steady state controls on ocean 13C. Global Biogeochemical Cycles, 35, e2020GB006757. https://doi.org/10.1029/2020GB006757 ======= ACKNOWLEDGEMENTS ======= This work was funded by the National Science Foundation (NSF-OCE 1356756 and NSF-OCE 1829796). We would also like to acknowledge high-performance computing support from Cheyenne (doi:10.5065/D6RX99HX) provided by NCAR's Computational and Information Systems Laboratory, sponsored by the NSF. ======= QUESTIONS AND REQUESTS? ======= Please contact Mariona Claret (mclaret@uw.edu) or Rolf Sonnerup (rolf@uw.edu).

Related Organizations
Keywords

isotope carbon-13, ocean stoichiometry, ocean circulation, water masses, climate model, air-sea gas exchange, ocean carbon

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citations
The total number of citations received by all articles of the researcher of interest.
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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