The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
WCRP COordinated Regional Downscaling EXperiment (CORDEX): a diagnostic MIP for CMIP6
Open accessAbstract
Abstract. The COordinated Regional Downscaling EXperiment (CORDEX) is a diagnostic model intercomparison project (MIP) in CMIP6. CORDEX builds on a foundation of previous downscaling intercomparison projects to provide a common framework for downscaling activities around the world. The CORDEX Regional Challenges provide a focus for downscaling research and a basis for making use of CMIP6 global climate model (GCM) output to produce downscaled projected changes in regional climates and assess sources of uncertainties in the projections, all of which can potentially be distilled into climate change information for vulnerability, impacts and adaptation studies. CORDEX Flagship Pilot Studies advance regional downscaling by targeting one or more of the CORDEX Regional Challenges. A CORDEX-CORE framework is planned that will produce a baseline set of homogeneous high-resolution, downscaled projections for regions worldwide. In CMIP6, CORDEX coordinates with ScenarioMIP and is structured to allow cross comparisons with HighResMIP and interaction with the CMIP6 VIACS Advisory Board.
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The ERA‐Interim reanalysis: configuration and performance of the data assimilation system
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., et al. (2011) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.828 · Cited by 24,480
An Overview of CMIP5 and the Experiment Design
Taylor, K. E., Stouffer, R. J., & Meehl, G. A. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00094.1 · Cited by 14,052
EURO-CORDEX: new high-resolution climate change projections for European impact research
Jacob, D., Petersen, J., Eggert, B., Alias, A., Christensen, O. B., Bouwer, L. M., Braun, A., Colette, A., Déqué, M., Georgievski, G., et al. (2014) · Regional Environmental Change · doi:10.1007/s10113-013-0499-2 · Cited by 2,730
Self-citationAddressing climate information needs at the regional level: the CORDEX framework
Giorgi, F., Jones, C., & Asrar, G. (2009) · Cited by 1,706
Self-citationRegional Dynamical Downscaling and the CORDEX Initiative
Giorgi, F., & Gutowski, W. J. (2015) · Annual Review of Environment and Resources · doi:10.1146/annurev-environ-102014-021217 · Cited by 792
Self-citationEvaluating 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
The North American Regional Climate Change Assessment Program: Overview of Phase I Results
Mearns, L. O., Arritt, R., Biner, S., Bukovsky, M. S., McGinnis, S., Sain, S., Caya, D., Correia, J., Flory, D., Gutowski, W., et al. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00223.1 · Cited by 476
Added value in regional climate modeling
Rummukainen, M. (2015) · Wiley Interdisciplinary Reviews Climate Change · doi:10.1002/wcc.378 · Cited by 390
Wind speed trends over the contiguous United States
Pryor, S. C., Barthelmie, R. J., Young, D. T., Takle, E. S., Arritt, R. W., Flory, D., Gutowski, W. J., Nunes, A., & Roads, J. (2009) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2008jd011416 · Cited by 370
Torma, C., Giorgi, F., & Coppola, E. (2015) · Journal of Geophysical Research: Atmospheres · doi:10.1002/2014jd022781 · Cited by 364
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Taking climate model evaluation to the next level
Eyring, V., Cox, P. M., Flato, G. M., Gleckler, P. J., Abramowitz, G., Caldwell, P., Collins, W. D., Gier, B. K., Hall, A. D., Hoffman, F. M., et al. (2019) · Nature Climate Change · doi:10.1038/s41558-018-0355-y · Cited by 748
Coppola, E., Sobolowski, S., Pichelli, E., Raffaele, F., Ahrens, B., Anders, I., Ban, N., Bastin, S., Belda, M., Belusic, D., et al. (2020) · Climate Dynamics · doi:10.1007/s00382-018-4521-8 · Cited by 367
Self-citationThe response of precipitation characteristics to global warming from climate projections
Giorgi, F., Raffaele, F., & Coppola, E. (2019) · Earth System Dynamics · doi:10.5194/esd-10-73-2019 · Cited by 339
Self-citationConfiguration and intercomparison of deep learning neural models for statistical downscaling
Baño-Medina, J., Manzanas, R., & Gutiérrez, J. M. (2020) · Geoscientific Model Development · doi:10.5194/gmd-13-2109-2020 · Cited by 282
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
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Metadata
- Authors
- Gutowski Jr., W. J., Giorgi, F., Timbal, B., Frigon, A., Jacob, D., Kang, H.-S., Raghavan, K., Lee, B., Lennard, C., Nikulin, G., O'Rourke, E., Rixen, M., Solman, S., Stephenson, T., & Tangang, F.
- Venue
- Geoscientific Model Development
- Publisher
- Copernicus GmbH
- Published
- 2016-11-17
- Volume
- 9
- Issue
- 11
- Pages
- 4087-4095
- ISSN
- 1991-959X (ISSN-L)
- 1991-9603
- OpenAlex
- W2472132332
- Cited by
- 462
- References
- 25
- FWCI
- 16.32
- Type
- journal article
- Language
- en
- Open access
- gold
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- Gutowski Jr., W. J., Giorgi, F., Timbal, B., Frigon, A., Jacob, D., Kang, H.-S., Raghavan, K., Lee, B., Lennard, C., Nikulin, G., O'Rourke, E., Rixen, M., Solman, S., Stephenson, T., & Tangang, F. (2016). WCRP COordinated Regional Downscaling EXperiment (CORDEX): a diagnostic MIP for CMIP6. Geoscientific Model Development. https://doi.org/10.5194/gmd-9-4087-2016
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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.
