Influence of finite-time Lyapunov exponents on winter precipitation over the Iberian Peninsula
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ISSN: 2190-4979
E-ISSN: 2190-4987
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Copernicus Publications
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Seasonal forecasts have improved during the last decades, mostly due to an increase in understanding of the coupled ocean–atmosphere dynamics, and the development of models able to predict the atmosphere variability. Correlations between different teleconnection patterns and severe weather in different parts of the world are constantly evolving and changing. This paper evaluates the connection between winter precipitation over the Iberian Peninsula and the large-scale tropospheric mixing over the eastern Atlantic Ocean. Finite-time Lyapunov exponents (FTLEs) have been calculated from 1979 to 2008 to evaluate this mixing. Our study suggests that significant negative correlations exist between summer FTLE anomalies and winter precipitation over Portugal and Spain. To understand the mechanisms behind this correlation, summer anomalies of the FTLE have also been correlated with other climatic variables such as the sea surface temperature (SST), the sea level pressure (SLP) or the geopotential. The East Atlantic (EA) teleconnection index correlates with the summer FTLE anomalies, confirming their role as a seasonal predictor for winter precipitation over the Iberian Peninsula
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Garaboa-Paz, D., Lorenzo, N., and Pérez-Muñuzuri, V.: Influence of finite-time Lyapunov exponents on winter precipitation over the Iberian Peninsula, Nonlin. Processes Geophys., 24, 227-235
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https://doi.org/10.5194/npg-24-227-2017Sponsors
This work was financially supported by the Ministerio de Economía y Competitividad and Xunta de Galicia (CGL2013-45932-R, GPC2015/014), and contributions by COST Action MP1305 and the CRETUS Strategic Partnership (AGRUP2015/02). All these programs are co-funded by the ERDF (EU). The support of Office of Naval Research grant no. N00014-16-1-2492 is also acknowledged
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© Author(s) 2017. This work is distributed under the Creative Commons Attribution 3.0 License








