The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.
Max Planck Institute Earth System Model (MPI-ESM1.2) for the High-Resolution Model Intercomparison Project (HighResMIP)
Open accessAbstract
Abstract. As a contribution towards improving the climate mean state of the atmosphere and the ocean in Earth system models (ESMs), we compare several coupled simulations conducted with the Max Planck Institute for Meteorology Earth System Model (MPI-ESM1.2) following the HighResMIP protocol. Our simulations allow to analyse the separate effects of increasing the horizontal resolution of the ocean (0.4 to 0.1∘) and atmosphere (T127 to T255) submodels, and the effects of substituting the Pacanowski and Philander (PP) vertical ocean mixing scheme with the K-profile parameterization (KPP). The results show clearly distinguishable effects from all three factors. The high resolution in the ocean removes biases in the ocean interior and in the atmosphere. This leads to the important conclusion that a high-resolution ocean has a major impact on the mean state of the ocean and the atmosphere. The T255 atmosphere reduces the surface wind stress and improves ocean mixed layer depths in both hemispheres. The reduced wind forcing, in turn, slows the Antarctic Circumpolar Current (ACC), reducing it to observed values. In the North Atlantic, however, the reduced surface wind causes a weakening of the subpolar gyre and thus a slowing down of the Atlantic meridional overturning circulation (AMOC), when the PP scheme is used. The KPP scheme, on the other hand, causes stronger open-ocean convection which spins up the subpolar gyres, ultimately leading to a stronger and stable AMOC, even when coupled to the T255 atmosphere, thus retaining all the positive effects of a higher-resolved atmosphere.
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
The ERA‐Interim reanalysis: configuration and performance of the data assimilation system
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., et al. (2011) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.828 · Cited by 24,480
Suspending OpenMP Tasks on Asynchronous Events: Extending the Taskwait Construct
Pereira, R., Martin, M., Roussel, A., Carribault, P., & Gautier, T. (2023) · Lecture Notes in Computer Science · doi:10.1007/978-3-031-40744-4_5 · Cited by 12,935
Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., & Taylor, K. E. (2016) · Geoscientific Model Development · doi:10.5194/gmd-9-1937-2016 · Cited by 11,981
Oceanic vertical mixing: A review and a model with a nonlocal boundary layer parameterization
Large, W. G., McWilliams, J. C., & Doney, S. C. (1994) · Reviews of Geophysics · doi:10.1029/94rg01872 · Cited by 4,443
Good, S. A., Martin, M. J., & Rayner, N. A. (2013) · Journal of Geophysical Research: Oceans · doi:10.1002/2013jc009067 · Cited by 1,861
Giorgetta, M. A., Jungclaus, J., Reick, C. H., Legutke, S., Bader, J., Böttinger, M., Brovkin, V., Crueger, T., Esch, M., Fieg, K., et al. (2013) · Journal of Advances in Modeling Earth Systems · doi:10.1002/jame.20038 · Cited by 1,666
Self-citationMauritsen, T., Bader, J., Becker, T., Behrens, J., Bittner, M., Brokopf, R., Brovkin, V., Claussen, M., Crueger, T., Esch, M., et al. (2019) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2018ms001400 · Cited by 1,520
Self-citationParameterization of Vertical Mixing in Numerical Models of Tropical Oceans
Pacanowski, R. C., & Philander, S. G. H. (1981) · Journal of Physical Oceanography · doi:10.1175/1520-0485(1981)011<1443:povmin>2.0.co;2 · Cited by 1,450
Atmospheric component of the MPI‐M Earth System Model: ECHAM6
Stevens, B., Giorgetta, M., Esch, M., Mauritsen, T., Crueger, T., Rast, S., Salzmann, M., Schmidt, H., Bader, J., Block, K., et al. (2013) · Journal of Advances in Modeling Earth Systems · doi:10.1002/jame.20015 · Cited by 1,379
High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6
Haarsma, R. J., Roberts, M. J., Vidale, P. L., Senior, C. A., Bellucci, A., Bao, Q., Chang, P., Corti, S., Fučkar, N. S., Guemas, V., et al. (2016) · Geoscientific Model Development · doi:10.5194/gmd-9-4185-2016 · Cited by 1,149
Self-citation
Cited by
Projections of Precipitation and Temperature over the South Asian Countries in CMIP6
Almazroui, M., Saeed, S., Saeed, F., Islam, M. N., & Ismail, M. (2020) · Earth Systems and Environment · doi:10.1007/s41748-020-00157-7 · Cited by 499
Opinion: Optimizing climate models with process knowledge, resolution, and artificial intelligence
Schneider, T., Leung, L. R., & Wills, R. C. J. (2024) · Atmospheric Chemistry and Physics · doi:10.5194/acp-24-7041-2024 · Cited by 53
Sylla, A., Sanchez Gomez, E., Mignot, J., & López-Parages, J. (2022) · Geoscientific Model Development · doi:10.5194/gmd-15-8245-2022 · Cited by 16
Metadata
- Authors
- Gutjahr, O., Putrasahan, D., Lohmann, K., Jungclaus, J. H., von Storch, J.-S., Brüggemann, N., Haak, H., & Stössel, A.
- Venue
- Geoscientific Model Development
- Publisher
- Copernicus GmbH
- Published
- 2019-07-25
- Volume
- 12
- Issue
- 7
- Pages
- 3241-3281
- ISSN
- 1991-959X (ISSN-L)
- 1991-9603
- OpenAlex
- W2903911135
- Cited by
- 508
- References
- 84
- FWCI
- 22.31
- 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: Max Planck Institute Earth System Model (MPI-ESM1.2) for the High-Resolution Model Intercomparison Project (HighResMIP). https://app.cochat.ai/papers/10.5194/gmd-12-3241-2019
- The paper
- Gutjahr, O., Putrasahan, D., Lohmann, K., Jungclaus, J. H., von Storch, J.-S., Brüggemann, N., Haak, H., & Stössel, A. (2019). Max Planck Institute Earth System Model (MPI-ESM1.2) for the High-Resolution Model Intercomparison Project (HighResMIP). Geoscientific Model Development. https://doi.org/10.5194/gmd-12-3241-2019
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.
