2017
DOI: 10.5194/gmd-10-3609-2017
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Changes in regional climate extremes as a function of global mean temperature: an interactive plotting framework

Abstract: Abstract. This article extends a previous study (Seneviratne et al., 2016) to provide regional analyses of changes in climate extremes as a function of projected changes in global mean temperature. We introduce the DROUGHT-HEAT Regional Climate Atlas, an interactive tool to analyse and display a range of well-established climate extremes and watercycle indices and their changes as a function of global warming. These projections are based on simulations from the fifth phase of the Coupled Model Intercomparison … Show more

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Cited by 86 publications
(92 citation statements)
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“…It is further noted that this study only calculates S/N ratios at a given warming threshold from a high-carbon scenario of future climate change (RCP8.5): Such a scenario, which crosses a wide range of temperatures, is a necessary requirement for the framing of results presented in both sections 2.1 and 3. However, previous studies have shown that, for many ETCCDIs, the response to the same increase in global temperatures is largely similar across RCP scenarios-that is, scenario uncertainty across RCPs is significantly smaller than corresponding model uncertainty Seneviratne et al, 2016;Wartenburger et al, 2017).…”
Section: Methodological Considerationsmentioning
confidence: 93%
“…It is further noted that this study only calculates S/N ratios at a given warming threshold from a high-carbon scenario of future climate change (RCP8.5): Such a scenario, which crosses a wide range of temperatures, is a necessary requirement for the framing of results presented in both sections 2.1 and 3. However, previous studies have shown that, for many ETCCDIs, the response to the same increase in global temperatures is largely similar across RCP scenarios-that is, scenario uncertainty across RCPs is significantly smaller than corresponding model uncertainty Seneviratne et al, 2016;Wartenburger et al, 2017).…”
Section: Methodological Considerationsmentioning
confidence: 93%
“…To assign the same weight to all simulations, all GCM output has been bi-linearly interpolated to a horizontal resolution of 2.5 • × 2.5 • prior to performing the empirical sampling analysis. Wartenburger et al (2017) have studied the natural variability in investigating the spread among all ensemble members of a particular model. They found that the model spread has essentially no impact on the ensemble mean or median, and even the spread is almost similar.…”
Section: Empirical Sampling Approachmentioning
confidence: 99%
“…Here, we investigate changes in temperature and precipitation extremes over the West and Central Africa subregions for an increase of global mean temperature of 1.5 • C and 2 • C above the pre-industrial period, based on Seneviratne et al (2016) and as a followup to Wartenburger et al (2017). West and Central Africa are particularly threatened by climate change due to high climate variability, high reliance on rainfed agriculture and limited economic and institutional capacity to respond to climate variability and change (Sultan and Gaetani 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Recently, there are increasing efforts devoted to the investigation of the changes in extreme climate events at the 1.5°C and 2°C warming levels and the benefits of limiting global warming to 1.5°C rather than 2°C (Donnelly et al, ; Dosio & Fischer, ; Karmalkar & Bradley, ; King & Karoly, ; King et al, ; Schleussner et al, ; Wartenburger et al, ; Xu et al, ). However, nearly all published results are based on the existing Coupled Model Intercomparison Project data, which were not specifically designed for the assessment.…”
Section: Introductionmentioning
confidence: 99%