The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Climate Sensitivity of the Community Climate System Model Version 3 (CCSM3)
Abstract
The climate sensitivity of the Community Climate System Model (CCSM) is described in terms of the equilibrium change in surface temperature due to a doubling of carbon dioxide in a slab ocean version of the Community Atmosphere Model (CAM) and the transient climate response, which is the surface temperature change at the point of doubling of carbon dioxide in a 1% yr−1 CO2 simulation with the fully coupled CCSM. For a fixed atmospheric horizontal resolution across model versions, we show that the equilibrium sensitivity has monotonically increased across CSM1.4, CCSM2, to CCSM3 from 2.01° to 2.27° to 2.47°C, respectively. The transient climate response for these versions is 1.44° to 1.09° to 1.48°C, respectively. Using climate feedback analysis, it is shown that both clear-sky and cloudy-sky processes have contributed to the changes in transient climate response. The dependence of these sensitivities on horizontal resolution is also explored. The equilibrium sensitivity of the high-resolution (T85) version of CCSM3 is 2.71°C, while the equilibrium response for the low-resolution model (T31) is 2.32°C. It is shown that the shortwave cloud response of the high-resolution version of the CCSM3 is anomalous compared to the low- and moderate-resolution versions.
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
A new method for diagnosing radiative forcing and climate sensitivity
Gregory, J. M., Ingram, W. J., Palmer, M. A., Jones, G. S., Stott, P. A., Thorpe, R. B., Lowe, J. A., Johns, T. C., & Williams, K. D. (2004) · Geophysical Research Letters · doi:10.1029/2003gl018747 · Cited by 1,075
Cited by
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
Present‐day climate forcing and response from black carbon in snow
Flanner, M. G., Zender, C. S., Randerson, J. T., & Rasch, P. J. (2007) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2006jd008003 · Cited by 1,360
Last Glacial Maximum and Holocene Climate in CCSM3
Otto-Bliesner, B. L., Brady, E. C., Clauzet, G., Tomas, R., Levis, S., & Kothavala, Z. (2006) · Journal of Climate · doi:10.1175/jcli3748.1 · Cited by 615
Earth's energy imbalance and implications
Hansen, J., Sato, M., Kharecha, P., & von Schuckmann, K. (2011) · Atmospheric Chemistry and Physics · doi:10.5194/acp-11-13421-2011 · Cited by 586
The early Eocene equable climate problem revisited
Huber, M., & Caballero, R. (2011) · Climate of the Past · doi:10.5194/cp-7-603-2011 · Cited by 403
Doney, S. C., Mahowald, N., Lima, I., Feely, R. A., Mackenzie, F. T., Lamarque, J.-F., & Rasch, P. J. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0702218104 · Cited by 403
Rasch, P. J., Crutzen, P. J., & Coleman, D. B. (2008) · Geophysical Research Letters · doi:10.1029/2007gl032179 · Cited by 300
Changes in Arctic vegetation amplify high-latitude warming through the greenhouse effect
Swann, A. L., Fung, I. Y., Levis, S., Bonan, G. B., & Doney, S. C. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913846107 · Cited by 299
Tropospheric Adjustment Induces a Cloud Component in CO2 Forcing
Gregory, J., & Webb, M. (2008) · Journal of Climate · doi:10.1175/2007jcli1834.1 · Cited by 292
Support for global climate reorganization during the “Medieval Climate Anomaly”
Graham, N. E., Ammann, C. M., Fleitmann, D., Cobb, K. M., & Luterbacher, J. (2011) · Climate Dynamics · doi:10.1007/s00382-010-0914-z · Cited by 269
Climate Sensitivity of the Community Climate System Model, Version 4
Bitz, C. M., Shell, K. M., Gent, P. R., Bailey, D. A., Danabasoglu, G., Armour, K. C., Holland, M. M., & Kiehl, J. T. (2012) · Journal of Climate · doi:10.1175/jcli-d-11-00290.1 · Cited by 265
Self-citationModel tropical Atlantic biases underpin diminished Pacific decadal variability.
McGregor, S., Stuecker, M. F., Kajtar, J. B., England, M. H., & Collins, M. (2018) · Nature Climate Change · doi:10.1038/s41558-018-0163-4 · Cited by 139
Zarzycki, C. M. (2016) · Journal of Climate · doi:10.1175/jcli-d-16-0273.1 · Cited by 65
Metadata
- Authors
- Kiehl, J. T., Shields, C. A., Hack, J. J., & Collins, W. D.
- Venue
- Journal of Climate
- Publisher
- American Meteorological Society
- Published
- 2006-06-01
- Volume
- 19
- Issue
- 11
- Pages
- 2584-2596
- ISSN
- 0894-8755 (ISSN-L)
- 1520-0442
- OpenAlex
- W2091319132
- Cited by
- 175
- References
- 1
- FWCI
- 18.25
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.
