The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The Gap between Simulation and Understanding in Climate Modeling
Open accessAbstract
The problem of creating truly convincing numerical simulations of our Earth's climate will remain a challenge for the next generation of climate scientists. Hopefully, the ever increasing power of computers will make this task somewhat less frustrating than it is at present. But, increasing computational power also raises issues as to how we would like to see climate modeling and the study of climate dynamics evolve in the twenty-first century. One of the key issues we will need to address is the widening gap between simulation and understanding.
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Citations
Cites
Quantification of modelling uncertainties in a large ensemble of climate change simulations.
Murphy, J. M., Sexton, D. M. H., Barnett, D. N., Jones, G. S., Webb, M. J., Collins, M., & Stainforth, D. A. (2004) · Nature · doi:10.1038/nature02771 · Cited by 1,655
A Proposal for the Intercomparison of the Dynamical Cores of Atmospheric General Circulation Models
Held, I. M., & Suarez, M. J. (1994) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1994)075<1825:apftio>2.0.co;2 · Cited by 908
Self-citationThe general circulation of the atmosphere: A numerical experiment
Phillips, N. A. (1956) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49708235202 · Cited by 662
A Gray-Radiation Aquaplanet Moist GCM. Part I: Static Stability and Eddy Scale
Frierson, D. M. W., Held, I. M., & Zurita-Gotor, P. (2006) · Journal of the Atmospheric Sciences · doi:10.1175/jas3753.1 · Cited by 410
Self-citation
Cited by
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
Storm track processes and the opposing influences of climate change
Shaw, T. A., Baldwin, M., Barnes, E. A., Caballero, R., Garfinkel, C. I., Hwang, Y.-T., Li, C., O'Gorman, P. A., Rivière, G., Simpson, I. R., et al. (2016) · Nature Geoscience · doi:10.1038/ngeo2783 · Cited by 615
The Art and Science of Climate Model Tuning
Hourdin, F., Mauritsen, T., Gettelman, A., Golaz, J.-C., Balaji, V., Duan, Q., Folini, D., Ji, D., Klocke, D., Qian, Y., et al. (2017) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-15-00135.1 · Cited by 611
Kang, S. M., Frierson, D. M. W., & Held, I. M. (2009) · Journal of the Atmospheric Sciences · doi:10.1175/2009jas2924.1 · Cited by 331
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
Metadata
- Authors
- Held, I. M.
- Venue
- Bulletin of the American Meteorological Society
- Publisher
- American Meteorological Society
- Published
- 2005-11
- Volume
- 86
- Issue
- 11
- Pages
- 1609-1614
- ISSN
- 0003-0007 (ISSN-L)
- 1520-0477
- OpenAlex
- W2128144169
- Cited by
- 538
- References
- 4
- FWCI
- 9.09
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
