The DOI matches its Crossref record; 121 of the 121 references it cites were found in a registry or an index.
MEDUSA-2.0: an intermediate complexity biogeochemical model of the marine carbon cycle for climate change and ocean acidification studies
Open accessAbstract
Abstract. MEDUSA-1.0 (Model of Ecosystem Dynamics, nutrient Utilisation, Sequestration and Acidification) was developed as an "intermediate complexity" plankton ecosystem model to study the biogeochemical response, and especially that of the so-called "biological pump", to anthropogenically driven change in the World Ocean (Yool et al., 2011). The base currency in this model was nitrogen from which fluxes of organic carbon, including export to the deep ocean, were calculated by invoking fixed C:N ratios in phytoplankton, zooplankton and detritus. However, due to anthropogenic activity, the atmospheric concentration of carbon dioxide (CO2) has significantly increased above its natural, inter-glacial background. As such, simulating and predicting the carbon cycle in the ocean in its entirety, including ventilation of CO2 with the atmosphere and the resulting impact of ocean acidification on marine ecosystems, requires that both organic and inorganic carbon be afforded a more complete representation in the model specification. Here, we introduce MEDUSA-2.0, an expanded successor model which includes additional state variables for dissolved inorganic carbon, alkalinity, dissolved oxygen and detritus carbon (permitting variable C:N in exported organic matter), as well as a simple benthic formulation and extended parameterizations of phytoplankton growth, calcification and detritus remineralisation. A full description of MEDUSA-2.0, including its additional functionality, is provided and a multi-decadal spin-up simulation (1860–2005) is performed. The biogeochemical performance of the model is evaluated using a diverse range of observational data, and MEDUSA-2.0 is assessed relative to comparable models using output from the Coupled Model Intercomparison Project (CMIP5).
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
An Overview of CMIP5 and the Experiment Design
Taylor, K. E., Stouffer, R. J., & Meehl, G. A. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00094.1 · Cited by 14,052
Orr, J. C., Fabry, V. J., Aumont, O., Bopp, L., Doney, S. C., Feely, R. A., Gnanadesikan, A., Gruber, N., Ishida, A., Joos, F., et al. (2005) · Nature · doi:10.1038/nature04095 · Cited by 4,590
Self-citationOcean Acidification: The Other CO 2 Problem
Doney, S. C., Fabry, V. J., Feely, R. A., & Kleypas, J. A. (2009) · Annual Review of Marine Science · doi:10.1146/annurev.marine.010908.163834 · Cited by 4,173
The Oceanic Sink for Anthropogenic CO 2
Sabine, C. L., Feely, R. A., Gruber, N., Key, R. M., Lee, K., Bullister, J. L., Wanninkhof, R., Wong, C. S., Wallace, D. W. R., Tilbrook, B., et al. (2004) · Science · doi:10.1126/science.1097403 · Cited by 4,035
Anthropogenic carbon and ocean pH
Caldeira, K., & Wickett, M. E. (2003) · Nature · doi:10.1038/425365a · Cited by 3,549
Climate change impacts on marine ecosystems
Doney, S. C., Ruckelshaus, M., Emmett Duffy, J., Barry, J. P., Chan, F., English, C. A., Galindo, H. M., Grebmeier, J. M., Hollowed, A. B., Knowlton, N., et al. (2012) · Annual Review of Marine Science · doi:10.1146/annurev-marine-041911-111611 · Cited by 3,014
Photosynthetic rates derived from satellite‐based chlorophyll concentration
Behrenfeld, M. J., & Falkowski, P. G. (1997) · Limnology and Oceanography · doi:10.4319/lo.1997.42.1.0001 · Cited by 2,866
Climate-driven trends in contemporary ocean productivity
Behrenfeld, M. J., O’Malley, R. T., Siegel, D. A., McClain, C. R., Sarmiento, J. L., Feldman, G. C., Milligan, A. J., Falkowski, P. G., Letelier, R. M., & Boss, E. S. (2006) · Nature · doi:10.1038/nature05317 · Cited by 2,485
Ocean color chlorophyll algorithms for SeaWiFS
O'Reilly, J. E., Maritorena, S., Mitchell, B. G., Siegel, D. A., Carder, K. L., Garver, S. A., Kahru, M., & McClain, C. (1998) · Journal of Geophysical Research: Oceans · doi:10.1029/98jc02160 · Cited by 2,465
Takahashi, T., Sutherland, S. C., Wanninkhof, R., Sweeney, C., Feely, R. A., Chipman, D. W., Hales, B., Friederich, G., Chavez, F., Sabine, C., et al. (2009) · Deep Sea Research Part II: Topical Studies in Oceanography · doi:10.1016/j.dsr2.2008.12.009 · Cited by 2,346
Cited by
How well do global ocean biogeochemistry models simulate dissolved iron distributions?
Tagliabue, A., Aumont, O., DeAth, R., Dunne, J. P., Dutkiewicz, S., Galbraith, E., Misumi, K., Moore, J. K., Ridgwell, A., Sherman, E., et al. (2016) · Global Biogeochemical Cycles · doi:10.1002/2015gb005289 · Cited by 371
Self-citationErauskin-Extramiana, M., Chust, G., Arrizabalaga, H., Cheung, W. W. L., Santiago, J., Merino, G., & Fernandes-Salvador, J. A. (2023) · Global and Planetary Change · doi:10.1016/j.gloplacha.2023.104055 · Cited by 45
Metadata
- Authors
- Yool, A., Popova, E. E., & Anderson, T. R.
- Venue
- Geoscientific Model Development
- Publisher
- Copernicus GmbH
- Published
- 2013-10-29
- Volume
- 6
- Issue
- 5
- Pages
- 1767-1811
- ISSN
- 1991-959X (ISSN-L)
- 1991-9603
- OpenAlex
- W2048919923
- Cited by
- 288
- References
- 121
- FWCI
- 6.80
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: MEDUSA-2.0: an intermediate complexity biogeochemical model of the marine carbon cycle for climate change and ocean acidification studies. https://app.cochat.ai/papers/10.5194/gmd-6-1767-2013
- The paper
- Yool, A., Popova, E. E., & Anderson, T. R. (2013). MEDUSA-2.0: an intermediate complexity biogeochemical model of the marine carbon cycle for climate change and ocean acidification studies. Geoscientific Model Development. https://doi.org/10.5194/gmd-6-1767-2013
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
