2015
DOI: 10.3354/cr01286
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Scalability of regional climate change in Europe for high-end scenarios

Abstract: With the help of a simulation using the global circulation model (GCM) EC-Earth, downscaled over Europe with the regional model DMI-HIRHAM5 at a 25 km grid point distance, we investigated regional climate change corresponding to 6°C of global warming to investigate whether regional climate change generally scales with global temperature even for very high levels of global warming. Through a complementary analysis of CMIP5 GCM results, we estimated the time at which this temperature may be reached; this warming… Show more

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Cited by 33 publications
(35 citation statements)
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“…1A), reaching 4°C by 2083, continuing to a median projected warming of almost 5°C by 2100 (6,20), with consequent global mean sea level rises (Fig. 1B).…”
Section: Resultsmentioning
confidence: 96%
“…1A), reaching 4°C by 2083, continuing to a median projected warming of almost 5°C by 2100 (6,20), with consequent global mean sea level rises (Fig. 1B).…”
Section: Resultsmentioning
confidence: 96%
“…This period was then used as a representation of the future period, for convenience referred to as 2071− 2099, although it may occur at another point in time. Further information on the climate model can be found in Christensen et al (2015). Due to scale differences and climate model biases, the GCM-RCM output needs to be downscaled and bias corrected before it can be used to force hydrological and lake models.…”
Section: Climate Scenariosmentioning
confidence: 99%
“…Nakicenovic et al 2000), but rather an artificially created climatic state. The emission scenario was run in the global and regional climate model (GCM-RCM) coupling of ECEARTH-HIRHAM (Christensen et al 2007, Hazeleger et al 2012. After reaching a 6°C increase in air temperature relative to a baseline period comprising the years 1986−2005, the CO 2 concentration was held constant, while the model was run for an additional 29 yr.…”
Section: Climate Scenariosmentioning
confidence: 99%
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“…Unlike the study by Yang et al (2010), the expected changes in this study are not calculated directly using the DC method on Regional Climate Model output; they are derived from comprehensive state-ofthe-art studies where all available data are used to determine realistic expectations to changes to precipitation due to climate change (e.g. Giorgi, 2006;Kendon et al, 2008;Christensen et al, 2015).…”
Section: Introductionmentioning
confidence: 99%