The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
State‐of‐the‐art with regional climate models
Abstract
Regional climate models are used by a large number of groups, for more or less all regions of the world. Regional climate models are complementary to global climate models. A typical use of regional climate models is to add further detail to global climate analyses or simulations, or to study climate processes in more detail than global models allow. The relationship between global and regional climate models is much akin to that of global and regional weather forecasting models. Over the past 20 years, the development of regional climate models has led to increased resolution, longer model runs, and steps towards regional climate system models. During recent years, community efforts have started to emerge in earnest, which can be expected to further advance the state‐of‐the‐art in regional climate modeling. Applications of regional climate models span both the past and possible future climates, facilitating climate impact studies, information and support to climate policy, and adaptation. Copyright © 2010 John Wiley & Sons, Inc. This article is categorized under: Climate Models and Modeling > Earth System Models
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Christensen, J. H., Boberg, F., Christensen, O. B., & Lucas‐Picher, P. (2008) · Geophysical Research Letters · doi:10.1029/2008gl035694 · Cited by 729
Fine-scale processes regulate the response of extreme events to global climate change
Diffenbaugh, N. S., Pal, J. S., Trapp, R. J., & Giorgi, F. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506042102 · Cited by 498
Cited by
Regional Climate Models Add Value to Global Model Data: A Review and Selected Examples
Feser, F., Rockel, B., von Storch, H., Winterfeldt, J., & Zahn, M. (2011) · Bulletin of the American Meteorological Society · doi:10.1175/2011bams3061.1 · Cited by 508
Want to model a species niche? A step-by-step guideline on correlative ecological niche modelling
Sillero, N., Arenas-Castro, S., Enriquez‐Urzelai, U., Vale, C. G., Sousa-Guedes, D., Martínez-Freiría, F., Real, R., & Barbosa, A. M. (2021) · Ecological Modelling · doi:10.1016/j.ecolmodel.2021.109671 · Cited by 456
Kjellström, E., Nikulin, G., Strandberg, G., Christensen, O. B., Jacob, D., Keuler, K., Lenderink, G., van Meijgaard, E., Schär, C., Somot, S., et al. (2018) · Earth System Dynamics · doi:10.5194/esd-9-459-2018 · Cited by 202
Sha, Y., Gagne II, D. J., West, G., & Stull, R. (2020) · Journal of Applied Meteorology and Climatology · doi:10.1175/jamc-d-20-0057.1 · Cited by 141
Stochastic models support rapid peopling of Late Pleistocene Sahul
Bradshaw, C. J. A., Norman, K., Ulm, S., Williams, A. N., Clarkson, C., Chadœuf, J., Lin, S. C., Jacobs, Z., Roberts, R. G., Bird, M. I., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-21551-3 · Cited by 58
Metadata
- Authors
- Rummukainen, M.
- Venue
- WIREs Climate Change
- Publisher
- Wiley
- Published
- 2009-12-22
- Volume
- 1
- Issue
- 1
- Pages
- 82-96
- ISSN
- 1757-7780 (ISSN-L)
- 1757-7799
- OpenAlex
- W2142463025
- Cited by
- 698
- References
- 2
- FWCI
- 22.52
- Type
- journal article
- Language
- en
- Open access
- closed
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