2008
DOI: 10.1127/0941-2948/2008/0309
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The Regional Climate Model COSMO-CLM (CCLM)

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Cited by 944 publications
(601 citation statements)
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“…For changes in all outcome measures (mean annual and seasonal temperature, total annual and seasonal precipitation, heavy precipitation, heat waves and dry spells), significance and robustness were tested using a method adapted from Pfeifer et al (2013). This method identifies regions with relatively strong and robust climate changes from an ensemble of climate change simulations.…”
Section: Methodsmentioning
confidence: 99%
“…For changes in all outcome measures (mean annual and seasonal temperature, total annual and seasonal precipitation, heavy precipitation, heat waves and dry spells), significance and robustness were tested using a method adapted from Pfeifer et al (2013). This method identifies regions with relatively strong and robust climate changes from an ensemble of climate change simulations.…”
Section: Methodsmentioning
confidence: 99%
“…Simulations with the COSMO-CLM (CCLM) model (see Rockel et al 2008) were performed at two institutions: CMCC and Goethe University, Frankfurt (GUF). Simulations driven by ERA-Interim and MPI-ESM-LR were performed at GUF with CCLM4-8-18.…”
Section: Regional Climate Models (Rcms)mentioning
confidence: 99%
“…Although high-resolution models improve the accuracy of spatio-temporal precipitation characteristics, all ENSEMBLES RCMs exhibit a wet bias of about 20% in winter and about 10% in summer (Rauscher et al 2010). In the downscaling experiments with COSMO-CLM (CCLM, COnsortium for Small-scale MOdelingClimate Limited-area Model; Rockel et al 2008), named consortional runs, resolution increased further down to 18 km (Hollweg et al 2008). The recent Coordinated Regional Downscaling Experiment (CORDEX; Giorgi et al 2009) addresses the improvements and climate change signals in the RCM climate simulations.…”
Section: Introductionmentioning
confidence: 99%