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About this collection

Extent

1 digital object.

Description

This collection contains model code and initial conditions to run the Biogeochemical Southern Ocean State Estimate (B-SOSE) with a control run configuration and 32 model perturbation experiments. Each perturbation experiment modifies a single model biogeochemical parameter, initial condition or model forcing. These perturbations include 9 biogeochemical model parameters, 1 sea-ice parameter, scaling factors for the initial conditions of T, S and total alkalinity, as well as scaling factors for short-wave radiation, long-wave radiation, and wind (u and v). Parameters were perturbed by doubling and halving the a priori parameter value used on the control run. Initial conditions and scaling factors for forcing variables were perturbed between 1% and 10% throughout the entire domain. A full description of the model and model experiments is included in Kuhn et al.

The collection also includes model - observations misfits estimated between simulated surface carbon dioxide fugacity (fCO2) from B-SOSE's control run and perturbation experiments and fCO2 observations from the Surface Ocean CO2 Atlas (SOCAT). These perturbed model results were used to estimate new model optimized parameters to reduce the misfits to SOCAT observations.

Creation Date

• 2019-09 to 2020-08

Date Issued

• 2025

Author

• Kuhn, Angela M.

Principal Investigator

• Mazloff, Matthew

Contributor

• Gille, Sarah T.

Programmer

• Verdy, Ariane

Funding

This study is funded through the Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) project (NSF award OPP-1936222).

Geographic

• Southern Ocean

Topics

• Biogeochemical model
• CO2 partial pressure
• Domain: Earth sciences
• Oceanography
• Parameter estimation
• State estimate

Format

View formats within this collection

• data

Language

• English

Identifier

Identifier: Angela M Kuhn: https://orcid.org/0000-0003-1191-8864

Identifier: Ariane Verdy: https://orcid.org/0000-0002-2774-2691

Identifier: Matthew Mazloff: https://orcid.org/0000-0002-1650-5850

Identifier: Sarah Gille: https://orcid.org/0000-0001-9144-4368

Related Resources

Primary associated publication

• Kuhn, Angela M, Matthew Mazloff, Sarah Gille and Ariane Verdy (submitted), Understanding regional pCO2 model biases and uncertainties in the Biogeochemical Southern Ocean State Estimate (B-SOSE). Submitted.

Software

• MITgcm’s user manual: https://mitgcm.readthedocs.io/en/latest/

Reference

• Kuhn, A. M., Mazloff, M. R., Gille, S. T., & Verdy, A. (2025). Sensitivity of Chlorophyll Vertical Structure to Model Parameters in the Biogeochemical Southern Ocean State Estimate (B-SOSE). Journal of Geophysical Research: Biogeosciences, 130(1), e2024JG008300. https://doi.org/10.1029/2024JG008300
• Verdy, A., & Mazloff, M. R. (2017). A data assimilating model for estimating Southern Ocean biogeochemistry. Journal of Geophysical Research: Oceans, 122(9), 6968–6988. https://doi.org/10.1002/2016JC012650

Collection image

• Image credit: Angela Cordova Kuhn. "Simulated carbon dioxide fugacity (fCO2) by the Biogeochemical Southern Ocean State Estimate (B-SOSE) and surface observations."