The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Detecting and Attributing External Influences on the Climate System: A Review of Recent Advances
Open accessAbstract
This paper reviews recent research that assesses evidence for the detection of anthropogenic and natural external influences on the climate. Externally driven climate change has been detected by a number of investigators in independent data covering many parts of the climate system, including surface temperature on global and large regional scales, ocean heat content, atmospheric circulation, and variables of the free atmosphere, such as atmospheric temperature and tropopause height. The influence of external forcing is also clearly discernible in reconstructions of hemispheric-scale temperature of the last millennium. These observed climate changes are very unlikely to be due only to natural internal climate variability, and they are consistent with the responses to anthropogenic and natural external forcing of the climate system that are simulated with climate models. The evidence indicates that natural drivers such as solar variability and volcanic activity are at most partially responsible for the large-scale temperature changes observed over the past century, and that a large fraction of the warming over the last 50 yr can be attributed to greenhouse gas increases. Thus, the recent research supports and strengthens the IPCC Third Assessment Report conclusion that “most of the global warming over the past 50 years is likely due to the increase in greenhouse gases.”
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Cites
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Probabilistic climate change projections using neural networks
Knutti, R., Stocker, T. F., Joos, F., & Plattner, G.-K. (2003) · Climate Dynamics · doi:10.1007/s00382-003-0345-1 · Cited by 197
Recent and future changes in Arctic sea ice simulated by the HadCM3 AOGCM
Gregory, J. M., Stott, P. A., Cresswell, D. J., Rayner, N. A., Gordon, C., & Sexton, D. M. H. (2002) · Geophysical Research Letters · doi:10.1029/2001gl014575 · Cited by 145
Cited by
Updated world map of the Köppen-Geiger climate classification
Peel, M. C., Finlayson, B. L., & McMahon, T. A. (2007) · doi:10.5194/hessd-4-439-2007 · Cited by 13,640
Updated world map of the Köppen-Geiger climate classification
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Challenges in combining projections from multiple climate models.
Knutti, R., Furrer, R., Tebaldi, C., Cermak, J., & Meehl, G. A. (2010) · Journal of Climate · doi:10.1175/2009jcli3361.1 · Cited by 1,270
Kharin, V. V., Zwiers, F. W., Zhang, X., & Hegerl, G. C. (2007) · Journal of Climate · doi:10.1175/jcli4066.1 · Cited by 1,103
Self-citationThe Detection and Attribution Model Intercomparison Project (DAMIP v1.0) contribution to CMIP6
Gillett, N. P., Shiogama, H., Funke, B., Hegerl, G., Knutti, R., Matthes, K., Santer, B. D., Stone, D., & Tebaldi, C. (2016) · Geoscientific Model Development · doi:10.5194/gmd-9-3685-2016 · Cited by 597
Self-citationHidalgo, H. G., Das, T., Dettinger, M. D., Cayan, D. R., Pierce, D. W., Barnett, T. P., Bala, G., Mirin, A., Wood, A. W., Bonfils, C., et al. (2009) · Journal of Climate · doi:10.1175/2009jcli2470.1 · Cited by 320
Self-citationShould we believe model predictions of future climate change?
Knutti, R. (2008) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2008.0169 · Cited by 279
Detection of Human Influence on a New, Validated 1500-Year Temperature Reconstruction
Hegerl, G. C., Crowley, T. J., Allen, M., Hyde, W. T., Pollack, H. N., Smerdon, J., & Zorita, E. (2007) · Journal of Climate · doi:10.1175/jcli4011.1 · Cited by 273
Self-citationBayesian Modeling of Uncertainty in Ensembles of Climate Models
Smith, R. L., Tebaldi, C., Nychka, D., & Mearns, L. O. (2009) · Journal of the American Statistical Association · doi:10.1198/jasa.2009.0007 · Cited by 225
Spatial Analysis to Quantify Numerical Model Bias and Dependence: How Many Climate Models Are There?
Jun, M., Knutti, R., & Nychka, D. W. (2008) · Journal of the American Statistical Association · doi:10.1198/016214507000001265 · Cited by 214
Uncertainty information in climate data records from Earth observation
Merchant, C. J., Paul, F., Popp, T., Ablain, M., Bontemps, S., Defourny, P., Hollmann, R., Lavergne, T., Laeng, A., de Leeuw, G., et al. (2017) · Earth System Science Data · doi:10.5194/essd-9-511-2017 · Cited by 201
Bouwer, L. M., Aerts, J. C. J. H., Droogers, P., & Dolman, A. J. (2006) · Hydrology and Earth System Sciences · doi:10.5194/hess-10-703-2006 · Cited by 69
Metadata
- Authors
- Barnett, T., Zwiers, F., Hengerl, G., Allen, M., Crowly, T., Gillett, N., Hasselmann, K., Jones, P., Santer, B., Schnur, R., Scott, P., Taylor, K., & Tett, S.
- Venue
- Journal of Climate
- Publisher
- American Meteorological Society
- Published
- 2005-05-01
- Volume
- 18
- Issue
- 9
- Pages
- 1291-1314
- ISSN
- 0894-8755 (ISSN-L)
- 1520-0442
- OpenAlex
- W1917188878
- Cited by
- 226
- References
- 3
- FWCI
- 26.96
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
