Evaluation of the HadGEM3-A simulations in view of detection and attribution of human influence on extreme events in Europe

Article

Vautard, Robert, Christidis, Nikolaos, Ciavarella, Andrew, Alvarez-Castro, Carmen, Bellprat, Omar, Christiansen, Bo, Colfescu, Ioana, Cowan, Tim, Doblas-Reyes, Francisco, Eden, Jonathan, Hauser, Mathias, Hegerl, Gabriele, Hempelmann, Nils, Klehmet, Katharina, Lott, Fraser, Nangini, Cathy, Orth, Rene, Radanovics, Sabine, Seneviratne, Sonia I., ..., Yiou, Pascal. 2019. "Evaluation of the HadGEM3-A simulations in view of detection and attribution of human influence on extreme events in Europe." Climate Dynamics. 52 (1-2), pp. 1187-1210. https://doi.org/10.1007/s00382-018-4183-6
Article Title

Evaluation of the HadGEM3-A simulations in view of detection and attribution of human influence on extreme events in Europe

ERA Journal ID1962
Article CategoryArticle
AuthorsVautard, Robert, Christidis, Nikolaos, Ciavarella, Andrew, Alvarez-Castro, Carmen, Bellprat, Omar, Christiansen, Bo, Colfescu, Ioana, Cowan, Tim, Doblas-Reyes, Francisco, Eden, Jonathan, Hauser, Mathias, Hegerl, Gabriele, Hempelmann, Nils, Klehmet, Katharina, Lott, Fraser, Nangini, Cathy, Orth, Rene, Radanovics, Sabine, Seneviratne, Sonia I., van Oldenborgh, Geert Jan, Scott, Peter, Tett, Simon, Wilcox, Laura and Yiou, Pascal
Journal TitleClimate Dynamics
Journal Citation52 (1-2), pp. 1187-1210
Number of Pages24
YearJan 2019
PublisherSpringer
Place of PublicationGermany
ISSN0930-7575
1432-0894
Digital Object Identifier (DOI)https://doi.org/10.1007/s00382-018-4183-6
Web Address (URL)https://link.springer.com/article/10.1007/s00382-018-4183-6
Abstract

A detailed analysis is carried out to assess the HadGEM3-A global atmospheric model skill in simulating extreme temperatures, precipitation and storm surges in Europe in the view of their attribution to human influence. The analysis is performed based on an ensemble of 15 atmospheric simulations forced with observed sea surface temperature of the 54 year period 1960–2013. These simulations, together with dual simulations without human influence in the forcing, are intended to be used in weather and climate event attribution. The analysis investigates the main processes leading to extreme events, including atmospheric circulation patterns, their links with temperature extremes, land–atmosphere and troposphere-stratosphere interactions. It also compares observed and simulated variability, trends and generalized extreme value theory parameters for temperature and precipitation. One of the most striking findings is the ability of the model to capture North-Atlantic atmospheric weather regimes as obtained from a cluster analysis of sea level pressure fields. The model also reproduces the main observed weather patterns responsible for temperature and precipitation extreme events. However, biases are found in many physical processes. Slightly excessive drying may be the cause of an overestimated summer interannual variability and too intense heat waves, especially in central/northern Europe. However, this does not seem to hinder proper simulation of summer temperature trends. Cold extremes appear well simulated, as well as the underlying blocking frequency and stratosphere-troposphere interactions. Extreme precipitation amounts are overestimated and too variable. The atmospheric conditions leading to storm surges were also examined in the Baltics region. There, simulated weather conditions appear not to be leading to strong enough storm surges, but winds were found in very good agreement with reanalyses. The performance in reproducing atmospheric weather patterns indicates that biases mainly originate from local and regional physical processes. This makes local bias adjustment meaningful for climate change attribution.

Keywordsair temperature; anthropogenic effect; atmospheric modeling; computer simulation; extreme event; precipitation assessment; storm surge
ANZSRC Field of Research 2020370101. Adverse weather events
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Byline AffiliationsParis-Saclay University, France
Met Office Hadley Centre, United Kingdom
Barcelona Supercomputing Center, Spain
Danish Meteorological Institute, Denmark
University of Edinburgh, United Kingdom
University of Leeds, United Kingdom
Royal Netherlands Meteorological Institute, Netherlands
Institute for Atmospheric and Climate Science, Switzerland
Helmholtz Centre Hereon, Germany
University of Reading, United Kingdom
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