The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Regional Climate Model COSMO-CLM (CCLM)
Abstract
Meteorologisches Institut Universitat Bonn, Germany¨In the early 1990s the German Weather Service (DWD) found that future demands on weather forecasting wouldrequire convection resolving weather simulation. This required grid mesh sizes much less than ten kilometres,which could not be achieved by the Deutschlandmodell (DM), the operational model at that time. DM wasa hydrostatic model and thus limited by physical reasons to grid mesh sizes larger than about ten kilometres.Therefore the DWD decided to develop a new non-hydrostatic model, the Lokalmodell (LM). The LM supersededthe DM as operational weather forecast model in 1999 and after several improvements met the expectations inseveral respects.The same arguments seem to be valid for climate simulations. Furthermore, most regional climate models(RCMs)originateinaweatherforecastmodel.ThereforeitwasnotsurprisingthatscientistsatthePotsdamInstituteforClimateImpactResearch(PIK)tookintoaccounttheLMasanoptionwhentheylookedforanappropriateRCMfor their WAVES project (B
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Cites
Evaluating the performance and utility of regional climate models: the PRUDENCE project
Christensen, J. H., Carter, T. R., Rummukainen, M., & Amanatidis, G. (2007) · Climatic Change · doi:10.1007/s10584-006-9211-6 · Cited by 670
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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
Self-citationThe impact of climate change in wheat and barley yields in the Iberian Peninsula
Bento, V. A., Ribeiro, A. F. S., Russo, A., Gouveia, C. M., Cardoso, R. M., & Soares, P. M. M. (2021) · Scientific Reports · doi:10.1038/s41598-021-95014-6 · Cited by 72
Deciphering Trifolium pratense L. holobiont reveals a microbiome resilient to future climate changes
Wahdan, S. F. M., Tanunchai, B., Wu, Y., Sansupa, C., Schädler, M., Dawoud, T. M., Buscot, F., & Purahong, W. (2021) · MicrobiologyOpen · doi:10.1002/mbo3.1217 · Cited by 15
Morlighem, C., Chaiban, C., Georganos, S., Brousse, O., Van de Walle, J., van Lipzig, N. P. M., Wolff, E., Dujardin, S., & Linard, C. (2022) · Remote Sensing · doi:10.3390/rs14215381 · Cited by 6
Metadata
- Authors
- Rockel, B., Will, A., & Hense, A.
- Venue
- Meteorologische Zeitschrift
- Publisher
- Schweizerbart
- Published
- 2008-08-25
- Volume
- 17
- Issue
- 4
- Pages
- 347-348
- ISSN
- 0941-2948 (ISSN-L)
- OpenAlex
- W1986722213
- Cited by
- 1,049
- References
- 1
- FWCI
- 12.05
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rockel, B., Will, A., & Hense, A. (2008). The Regional Climate Model COSMO-CLM (CCLM). Meteorologische Zeitschrift. https://doi.org/10.1127/0941-2948/2008/0309
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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.
