the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Sediment Biogeochemistry Model Intercomparison Project (SedBGC_MIP): motivation and guidance for its experimental design
Abstract. Benthic biogeochemical models are critical for understanding and predicting seafloor processes that regulate ocean chemistry, carbon sequestration, benthic habitat conditions, and climate feedbacks. However, current sediment models have limited predictive capabilities with widely variable complexity, structure, and underlying assumptions, highlighting a lack of consensus on essential process representations. To address this issue, this paper introduces the Sediment Biogeochemistry Model Intercomparison Project (SedBGC_MIP), a community-driven initiative aimed at systematically comparing existing benthic models against available observational constraints to refine key parameterizations and assess structural uncertainties. We review the state of sediment biogeochemical modeling, highlighting discrepancies in the representation of carbon cycling, burial, and redox remineralization processes across different model complexities. Through case studies, we demonstrate how varying model structures and ecosystem dynamics create uncertainty in global predicted biogeochemical feedbacks. We outline the objectives of SedBGC_MIP, including the need for standardized benchmarking, observational datasets, and cross-disciplinary collaboration to improve model skill and integration into Earth System Models. Ultimately, SedBGC_MIP aims to advance our ability to simulate benthic processes with greater accuracy, enhancing projections of ocean biogeochemistry under climate change scenarios with new capacity to address emerging living marine resource and geoengineering applications.
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Status: open (until 26 Sep 2025)
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CEC1: 'Comment on egusphere-2025-1846 - No compliance with the policy of the journal', Juan Antonio Añel, 28 Jul 2025
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Dear authors,
Unfortunately, after checking your manuscript, it has come to our attention that it does not comply with our "Code and Data Policy".
https://www.geoscientific-model-development.net/policies/code_and_data_policy.htmlYou have archived the code of the models used in your manuscript and part of the data on GitHub. However, GitHub is not a suitable repository for scientific publication. GitHub itself instructs authors to use other long-term archival and publishing alternatives, such as Zenodo. Therefore, the current situation with your manuscript is irregular. Please, publish your code in one of the appropriate repositories and reply to this comment with the relevant information (link and a permanent identifier for it (e.g. DOI)) as soon as possible, as we can not accept manuscripts in Discussions that do not comply with our policy. Also, please include the relevant primary input/output data.
Also, you must include modified Code and Data Availability sections in a potentially reviewed manuscript, containing the information of the new repositories.
Additionally, please, remove all the references to GitHub sites from the Code and Data Availability sections, as they do not serve the purpose of ensuring the replicability of your work, and only create confussion.
I must note that if you do not fix this problem, we cannot continue with the peer-review process or accept your manuscript for publication in our journal.
Juan A. Añel
Geosci. Model Dev. Executive EditorCitation: https://doi.org/10.5194/egusphere-2025-1846-CEC1 -
AC1: 'Reply on CEC1', Samantha Siedlecki, 29 Jul 2025
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I apologize for the confusion. We can update most of the repositories quickly (see below) but the ROMS model experiment described in Kearney et al (in review) requires a bit more time to accomplish as the co-author responsible is on vacation currently. She ensured us that the repository will be updated upon her return after August 9th. I hope this is alright. We will provide a completely updated and modified Code and Data Availability section at that time. Please instruct us as to how to submit a modified version of the manuscript with that section so it will be updated online. We appreciate the opportunity to correct this matter and appreciate your patience.ERSEM: Marine Systems Modelling group, P. M. L. (2022). ERSEM (22.11). Zenodo. https://doi.org/10.5281/zenodo.7300564FABM: Bruggeman, J., & Bolding, K. (2025). Framework for Aquatic Biogeochemical Models (v2.1.5). Zenodo.https://doi.org/10.5281/zenodo.14871484GOTM: Bolding, K., Bruggeman, J., Burchard, H., & Umlauf, L. (2021). General Ocean Turbulence Model - GOTM (v6.0.2). Zenodo. https://doi.org/10.5281/zenodo.4896611Global 1/2 degree MOM6+COBALT code from experiments alongside results: https://doi.org/10.5281/zenodo.15224381Citation: https://doi.org/
10.5194/egusphere-2025-1846-AC1 -
CEC2: 'Reply on AC1', Juan Antonio Añel, 29 Jul 2025
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Dear authors,
Many thanks for addressing the outstanding issue so quickly. Please, let us know when you have a repository for the ROMS code.
Also, at this stage it is not necessary that you upload a new version of your manuscript. It is enough that you reply to this comment with the text for the new "Code and Data Availability" section, containing the requested information. Later, in potentially reviewed versions of your manuscript or before acceptation, you will have the opportunity to update the text in the manuscript.
Juan A. Añel
Geosci. Model Dev. Executive Editor
Citation: https://doi.org/10.5194/egusphere-2025-1846-CEC2 -
AC2: 'Reply on CEC2', Samantha Siedlecki, 19 Aug 2025
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Please find the new code and data availability statements below. Let us know if you need anything further.
Code Availability: The COBALTv2 model for the Global 1/2 degree MOM6+COBALT code from experiments alongside results are archived on Zenodo: https://doi.org/10.5281/zenodo.15224381. ERSEM model code is available at ERSEM: Marine Systems Modelling group, P. M. L. (2022). ERSEM (22.11). Zenodo. https://doi.org/10.5281/zenodo.7300564. FABM: Bruggeman, J., & Bolding, K. (2025). FABM framework available at Framework for Aquatic Biogeochemical Models (v2.1.5). Zenodo.https://doi.org/10.5281/zenodo.14871484. GOTM: Bolding, K., Bruggeman, J., Burchard, H., & Umlauf, L. (2021). General Ocean Turbulence Model - GOTM (v6.0.2). Zenodo.https://doi.org/10.5281/zenodo.4896611. Source code and supporting data for the Kearney et al. (in review) implementation of ROMS with 3 biogeochemical models: ROMS source code (with ocean, sea ice, and extended biological modules): beringnpz/roms: v2025.02 https://doi.org/10.5281/zenodo.16808934. ROMS Bering Sea application data: beringnpz/bering-Apps: v2023.10 https://doi.org/10.5281/zenodo.16808952. ROMS Communication Toolbox: beringnpz/romscom: v2023.04 https://doi.org/10.5281/zenodo.16808944
Data Availability: No new observations were generated as part of this work. The exact version of the model used in the case study surrounding the results described in Kearney et al. (in review), to produce the results used in this paper is archived on Zenodo under DOI (10.5281/zenodo.15015214, Kearney et al. 2025b), as are input data and scripts to run the model and produce the plots for all the simulations presented in this paper (Kearney et al. in review), compendium, and supporting data: kakearney/supplementary-data-bgcmip: v0.4 https://doi.org/10.5281/zenodo.15015215. The results used in this paper for the case study with ERSEM are archived on Zenodo under DOI link 10.5281/zenodo.15235658 (Lessin 2025). The results used in this paper for the case study with the global model experiment is archived on Zenodo under DOI link 10.5281/zenodo.15224380 (Rakshit & Luo, 2025).
Citation: https://doi.org/10.5194/egusphere-2025-1846-AC2
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AC2: 'Reply on CEC2', Samantha Siedlecki, 19 Aug 2025
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CEC2: 'Reply on AC1', Juan Antonio Añel, 29 Jul 2025
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AC1: 'Reply on CEC1', Samantha Siedlecki, 29 Jul 2025
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