2018
DOI: 10.1007/s00382-018-4183-6
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Evaluation of the HadGEM3-A simulations in view of detection and attribution of human influence on extreme events in Europe

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Cited by 45 publications
(41 citation statements)
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References 64 publications
(10 reference statements)
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“…We then observe a surface drying, which can play a major role in the trend of other variables such as turbulent flows and thus can intensify or inhibit existing surface-atmosphere feedbacks. In Spain, Vicente-Serrano et al (2014) observe the same trends with an increase in temperature leading to a decrease in relative humidity which is not accompanied by an increase in the surface water vapour content. They show that these trends are related to two constraints: (1) a terrestrial constraint related to a decrease of the precipitation and a decrease of soil moisture; and (2) an oceanic constraint related to a limitation in the advection of moisture from ocean surfaces.…”
Section: Dynamical Thermodynamicalsupporting
confidence: 54%
“…We then observe a surface drying, which can play a major role in the trend of other variables such as turbulent flows and thus can intensify or inhibit existing surface-atmosphere feedbacks. In Spain, Vicente-Serrano et al (2014) observe the same trends with an increase in temperature leading to a decrease in relative humidity which is not accompanied by an increase in the surface water vapour content. They show that these trends are related to two constraints: (1) a terrestrial constraint related to a decrease of the precipitation and a decrease of soil moisture; and (2) an oceanic constraint related to a limitation in the advection of moisture from ocean surfaces.…”
Section: Dynamical Thermodynamicalsupporting
confidence: 54%
“…Unreliable simulations can lead to overstatements of risk (Bellprat and Doblas-Reyes 2016). Vautard et al (2017) present a broad evaluation of HadGEM3-A, concluding that it is, overall, a good tool for examining European precipitation and temperature extremes in summer. Here, we present analysis specifically relevant to summer 2012.…”
Section: Hadgem3-a Evaluationmentioning
confidence: 99%
“…Comparisons against observations may employ power spectra to assess the modelled variability (Christidis et al , ), Q–Q plots and standard statistical tests to assess the probability distribution (and its tails in particular) in historical periods and simple trend assessments for changes over larger timescales (Christidis and Stott, ). More in‐depth assessments may also delve into the representation of potentially important processes associated with the atmospheric circulation, land–atmosphere, or troposphere–stratosphere interactions (Vautard et al , ). Tailor‐made evaluation methodologies for analyses with atmosphere‐only models have also been proposed (Ciavarella et al , ).…”
Section: Cmip5 Index Trendsmentioning
confidence: 99%
“…Over the last decade, the Hadley Centre has developed and utilized a state‐of‐the‐art extreme event attribution system with the view of integrating it into its developing climate services. The system has been built on the atmospheric model HadGEM3‐A (Christidis et al , ) and been subjected to meticulous evaluation assessments that have used a combination of standard as well as novel evaluation techniques (Ciavarella et al , ; Vautard et al , ). During the course of the EUropean CLimate and weather Events: Interpretation and Attribution (EUCLEIA) project (https://eucleia.eu/), the operationalization of the Hadley Centre's attribution system was prototyped, modelled after the structurally similar seasonal forecasting system that has been operational in the UK Met Office for several years.…”
Section: The Hadley Centre Attribution Systemmentioning
confidence: 99%