The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Bias corrections of global models for regional climate simulations of high-impact weather
Open accessAbstract
All global circulation models (GCMs) suffer from some form of bias, which when used as boundary conditions for regional climate models may impact the simulations, perhaps severely. Here we present a bias correction method that corrects the mean error in the GCM, but retains the six-hourly weather, longer-period climate-variability and climate change from the GCM. We utilize six different bias correction experiments; each correcting different bias components. The impact of the full bias correction and the individual components are examined in relation to tropical cyclones, precipitation and temperature. We show that correcting of all boundary data provides the greatest improvement.
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The Community Climate System Model Version 3 (CCSM3)
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Cited by
Projections of future summertime ozone over the U.S.
Pfister, G. G., Walters, S., Lamarque, J. ‐., Fast, J., Barth, M. C., Wong, J., Done, J., Holland, G., & Bruyère, C. L. (2014) · Journal of Geophysical Research Atmospheres · doi:10.1002/2013jd020932 · Cited by 87
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Metadata
- Authors
- Bruyère, C. L., Done, J. M., Holland, G. J., & Fredrick, S.
- Venue
- Climate Dynamics
- Published
- 2013-12-14
- Volume
- 43
- Issue
- 7-8
- Pages
- 1847-1856
- ISSN
- 0930-7575 (ISSN-L)
- 1432-0894
- OpenAlex
- W1986371867
- Cited by
- 271
- References
- 44
- FWCI
- 6.30
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.
