The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Origins of the Solar Radiation Biases over the Southern Ocean in CFMIP2 Models*
Open accessAbstract
Current climate models generally reflect too little solar radiation over the Southern Ocean, which may be the leading cause of the prevalent sea surface temperature biases in climate models. The authors study the role of clouds on the radiation biases in atmosphere-only simulations of the Cloud Feedback Model Intercomparison Project phase 2 (CFMIP2), as clouds have a leading role in controlling the solar radiation absorbed at those latitudes. The authors composite daily data around cyclone centers in the latitude band between 40° and 70°S during the summer. They use cloud property estimates from satellite to classify clouds into different regimes, which allow them to relate the cloud regimes and their associated radiative biases to the meteorological conditions in which they occur. The cloud regimes are defined using cloud properties retrieved using passive sensors and may suffer from the errors associated with this type of retrievals. The authors use information from the Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) lidar to investigate in more detail the properties of the “midlevel” cloud regime. Most of the model biases occur in the cold-air side of the cyclone composite, and the cyclone composite accounts for most of the climatological error in that latitudinal band. The midlevel regime is the main contributor to reflected shortwave radiation biases. CALIPSO data show that the midlevel cloud regime is dominated by two main cloud types: cloud with tops actually at midlevel and low-level cloud. Improving the simulation of these cloud types should help reduce the biases in the simulation of the solar radiation budget in the Southern Ocean in climate models.
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
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
The Community Climate System Model Version 4
Gent, P. R., Danabasoglu, G., Donner, L. J., Holland, M. M., Hunke, E. C., Jayne, S. R., Lawrence, D. M., Neale, R. B., Rasch, P. J., Vertenstein, M., et al. (2011) · Journal of Climate · doi:10.1175/2011jcli4083.1 · Cited by 3,133
Overview of the CALIPSO Mission and CALIOP Data Processing Algorithms
Winker, D. M., Vaughan, M. A., Omar, A., Hu, Y., Powell, K. A., Liu, Z., Hunt, W. H., & Young, S. A. (2009) · Journal of Atmospheric and Oceanic Technology · doi:10.1175/2009jtecha1281.1 · Cited by 2,600
Advances in Understanding Clouds from ISCCP
Rossow, W. B., & Schiffer, R. A. (1999) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1999)080<2261:aiucfi>2.0.co;2 · Cited by 2,256
Stephens, G. L., Vane, D. G., Boain, R. J., Mace, G. G., Sassen, K., Wang, Z., Illingworth, A. J., O'connor, E. J., Rossow, W. B., Durden, S. L., et al. (2002) · Bulletin of the American Meteorological Society · doi:10.1175/bams-83-12-1771 · Cited by 2,100
Self-citationClouds and the Earth's Radiant Energy System (CERES): An Earth Observing System Experiment
Wielicki, B. A., Barkstrom, B. R., Harrison, E. F., Lee, R. B., Louis Smith, G., & Cooper, J. E. (1996) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1996)077<0853:catere>2.0.co;2 · Cited by 1,957
Development and evaluation of an Earth-System model – HadGEM2
Collins, W. J., Bellouin, N., Doutriaux-Boucher, M., Gedney, N., Halloran, P., Hinton, T., Hughes, J., Jones, C. D., Joshi, M., Liddicoat, S., et al. (2011) · Geoscientific Model Development · doi:10.5194/gmd-4-1051-2011 · Cited by 1,516
The CNRM-CM5.1 global climate model: description and basic evaluation
Voldoire, A., Sanchez-Gomez, E., Salas y Mélia, D., Decharme, B., Cassou, C., Sénési, S., Valcke, S., Beau, I., Alias, A., Chevallier, M., et al. (2013) · Climate Dynamics · doi:10.1007/s00382-011-1259-y · Cited by 1,366
Self-citationImproved Climate Simulation by MIROC5: Mean States, Variability, and Climate Sensitivity
Watanabe, M., Suzuki, T., O’ishi, R., Komuro, Y., Watanabe, S., Emori, S., Takemura, T., Chikira, M., Ogura, T., Sekiguchi, M., et al. (2010) · Journal of Climate · doi:10.1175/2010jcli3679.1 · Cited by 1,333
Self-citation
Cited by
Quantifying climate feedbacks in polar regions
Goosse, H., Kay, J. E., Armour, K. C., Bodas-Salcedo, A., Chepfer, H., Docquier, D., Jonko, A., Kushner, P. J., Lecomte, O., Massonnet, F., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04173-0 · Cited by 531
Self-citationStable isotopes in atmospheric water vapor and applications to the hydrologic cycle
Galewsky, J., Steen‐Larsen, H. C., Field, R. D., Worden, J., Risi, C., & Schneider, M. (2016) · Reviews of Geophysics · doi:10.1002/2015rg000512 · Cited by 489
Mixed-Phase Clouds: Progress and Challenges
Korolev, A., McFarquhar, G., Field, P. R., Franklin, C., Lawson, P., Wang, Z., Williams, E., Abel, S. J., Axisa, D., Borrmann, S., et al. (2017) · Meteorological Monographs · doi:10.1175/amsmonographs-d-17-0001.1 · Cited by 455
Self-citationSchneider, T., Lan, S., Stuart, A., & Teixeira, J. (2017) · Geophysical Research Letters · doi:10.1002/2017gl076101 · Cited by 391
Connections Between Clouds, Radiation, and Midlatitude Dynamics: a Review
Ceppi, P., & Hartmann, D. L. (2015) · Current Climate Change Reports · doi:10.1007/s40641-015-0010-x · Cited by 384
Metadata
- Authors
- Bodas-Salcedo, A., Williams, K. D., Ringer, M. A., Beau, I., Cole, J. N. S., Dufresne, J.-L., Koshiro, T., Stevens, B., Wang, Z., & Yokohata, T.
- Venue
- Journal of Climate
- Publisher
- American Meteorological Society
- Published
- 2014-01-01
- Volume
- 27
- Issue
- 1
- Pages
- 41-56
- ISSN
- 0894-8755 (ISSN-L)
- 1520-0442
- OpenAlex
- W2160436992
- Cited by
- 313
- References
- 50
- FWCI
- 9.07
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Origins of the Solar Radiation Biases over the Southern Ocean in CFMIP2 Models*. https://app.cochat.ai/papers/10.1175/jcli-d-13-00169.1
- The paper
- Bodas-Salcedo, A., Williams, K. D., Ringer, M. A., Beau, I., Cole, J. N. S., Dufresne, J.-L., Koshiro, T., Stevens, B., Wang, Z., & Yokohata, T. (2014). Origins of the Solar Radiation Biases over the Southern Ocean in CFMIP2 Models*. Journal of Climate. https://doi.org/10.1175/jcli-d-13-00169.1
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.
