151. Variability of extreme precipitation over Europe and its relationships with teleconnection patterns
- Author
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Concepción Rodríguez-Puebla, M. D. Frías, Ana Casanueva, N. Gonzalez-Reviriego, and Universidad de Cantabria
- Subjects
010504 meteorology & atmospheric sciences ,0207 environmental engineering ,02 engineering and technology ,lcsh:Technology ,01 natural sciences ,lcsh:TD1-1066 ,Atlantic multidecadal oscillation ,Precipitation ,Water cycle ,lcsh:Environmental technology. Sanitary engineering ,020701 environmental engineering ,lcsh:Environmental sciences ,0105 earth and related environmental sciences ,lcsh:GE1-350 ,lcsh:T ,Global warming ,lcsh:Geography. Anthropology. Recreation ,15. Life on land ,lcsh:G ,North Atlantic oscillation ,13. Climate action ,Climatology ,Environmental science ,Scale (map) ,Teleconnection ,Downscaling - Abstract
A growing interest in extreme precipitation has spread through the scientific community due to the effects of global climate change on the hydrological cycle, and their threat to natural systems' higher than average climatic values. Understanding the variability of precipitation indices and their association to atmospheric processes could help to project the frequency and severity of extremes. This paper evaluates the trend of three precipitation extremes: the number of consecutive dry/wet days (CDD/CWD) and the quotient of the precipitation in days where daily precipitation exceeds the 95th percentile of the reference period and the total amount of precipitation (or contribution of very wet days, R95pTOT). The aim of this study is twofold. First, extreme indicators are compared against accumulated precipitation (RR) over Europe in terms of trends using non-parametric approaches. Second, we analyse the geographically opposite trends found over different parts of Europe by considering their relationships with large-scale processes, using different teleconnection patterns. The study is accomplished for the four seasons using the gridded E-OBS data set developed within the EU ENSEMBLES project. Different patterns of variability were found for CWD and CDD in winter and summer, with north–south and east–west configurations, respectively. We consider physical factors in order to understand the extremes' variability by linking large-scale processes and precipitation extremes. Opposite associations with the North Atlantic Oscillation in winter and summer, and the relationships with the Scandinavian and East Atlantic patterns as well as El Niño/Southern Oscillation events in spring and autumn gave insight into the trend differences. Significant relationships were found between the Atlantic Multidecadal Oscillation and R95pTOT during the whole year. The largest extreme anomalies were analysed by composite maps using atmospheric variables and sea surface temperature. The association of extreme precipitation indices and large-scale variables found in this work could pave the way for new possibilities regarding the projection of extremes in downscaling techniques. We acknowledge the free availability of the E-OBS data set from the EU-FP6 project ENSEMBLES (http: //ensembles-eu.metoffice.com) and the data providers in the ECA&D project (http://eca.knmi.nl), the CPC and the NCEP NOAA for the teleconnection indices. We also thank the software developers of CDO (Climate Data Operators), CDAT (Climate Data Analysis Tool) and GrADS (Grid Analysis Display System). This work is supported by projects EXTREMBLES (CGL2010- 21869), CORWES (CGL2010-22158-C02), GCL2008-04610 and CGL2011-23209 from the Spanish R&D&I programme, SA222A11-2 regional project JCyL, and CLIM-RUN from the 7th European Framework Programme (FP7). A. Casanueva and N. González-Reviriego would like to thank the Spanish Government for the funding provided within the FPI programme (BES-2011-047612 and BES-2009-015078). Finally, we are also thankful to the two anonymous referees who helped to improve this paper.
- Published
- 2014