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contributor authorChristiansen, Bo
contributor authorAlvarez-Castro, Carmen
contributor authorChristidis, Nikolaos
contributor authorCiavarella, Andrew
contributor authorColfescu, Ioana
contributor authorCowan, Tim
contributor authorEden, Jonathan
contributor authorHauser, Mathias
contributor authorHempelmann, Nils
contributor authorKlehmet, Katharina
contributor authorLott, Fraser
contributor authorNangini, Cathy
contributor authorJan van Oldenborgh, Geert
contributor authorOrth, René
contributor authorStott, Peter
contributor authorTett, Simon
contributor authorVautard, Robert
contributor authorWilcox, Laura
contributor authorYiou, Pascal
date accessioned2019-09-19T10:09:50Z
date available2019-09-19T10:09:50Z
date copyright2/9/2018 12:00:00 AM
date issued2018
identifier otherjcli-d-17-0589.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4262251
description abstractAbstractAn attribution study has been performed to investigate the degree to which the unusually cold European winter of 2009/10 was modified by anthropogenic climate change. Two different methods have been included for the attribution: one based on large HadGEM3-A ensembles and one based on a statistical surrogate method. Both methods are evaluated by comparing simulated winter temperature means, trends, standard deviations, skewness, return periods, and 5% quantiles with observations. While the surrogate method performs well, HadGEM3-A in general underestimates the trend in winter by a factor of ?. It has a mean cold bias dominated by the mountainous regions and also underestimates the cold 5% quantile in many regions of Europe. Both methods show that the probability of experiencing a winter as cold as 2009/10 has been reduced by approximately a factor of 2 because of anthropogenic changes. The method based on HadGEM3-A ensembles gives somewhat larger changes than the surrogate method because of differences in the definition of the unperturbed climate. The results are based on two diagnostics: the coldest day in winter and the largest continuous area with temperatures colder than twice the local standard deviation. The results are not sensitive to the choice of bias correction except in the mountainous regions. Previous results regarding the behavior of the measures of the changed probability have been extended. The counterintuitive behavior for heavy-tailed distributions is found to hold for a range of measures and for events that become more rare in a changed climate.
publisherAmerican Meteorological Society
titleWas the Cold European Winter of 2009/10 Modified by Anthropogenic Climate Change? An Attribution Study
typeJournal Paper
journal volume31
journal issue9
journal titleJournal of Climate
identifier doi10.1175/JCLI-D-17-0589.1
journal fristpage3387
journal lastpage3410
treeJournal of Climate:;2018:;volume 031:;issue 009
contenttypeFulltext


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