12.08.2013 Views

final_program_abstracts[1]

final_program_abstracts[1]

final_program_abstracts[1]

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

11 IMSC Session Program<br />

Change in temperature extremes over Europe<br />

Friday - Poster Session 7<br />

Concepcion Rodriguez-Puebla, Ana Casanueva and Nube Gonzalez-Reviriego<br />

Department of Atmospheric Physics, University of Salamanca, Spain<br />

The purpose of this study is to present results about the variability of temperature<br />

extremes based on threshold exceedance: warm days (tx90), warm nights (tn90), cold<br />

days (tx10), cold nights (tn10), cold wave duration index (cwdi) and heat wave<br />

duration index (hwdi) for different seasons December-January-February (DJF),<br />

March-April- June (MAM), June-July-August (JJA) and September-October-<br />

November (SON) over Europe. One important motivation to perform this study is the<br />

greater vulnerability of ecosystems to climate extremes than to mean climate changes.<br />

We use the daily gridded datasets derived through interpolation of station data (E-<br />

OBS) version 2.0 (Hofstra et al. 2009). The variability of the indices would be<br />

analysed by means of probability density function (PDF), Singular Spectral Analysis<br />

(SSA) and different procedures to derive the significance of the trend. The changes in<br />

the extreme temperature indices would be explained by obtaining correlation analysis<br />

and composite maps of large-scale variables for the most extreme values of the<br />

indices by taking into account the atmospheric teleconnection indices and Sea Surface<br />

Temperature (SST). We will discuss results for the four seasons and provide<br />

additional details with respect to a previous study where temperature extremes of<br />

annual time series were analyzed over the Iberian Peninsula (Rodriguez-Puebla et al.<br />

2010). One application of this study is to propose statistical models to characterize the<br />

extreme temperature indices and to learn how slow climate changes would affect the<br />

variability of temperature extremes.<br />

Hofstra, N; Haylock, M; New, M; Jones, PD (2009) Testing E-OBS European<br />

highresolution gridded data set of daily precipitation and surface temperature. Journal<br />

of Geophysical Research-Atmospheres, 114, D21101, 21101-21101<br />

Rodriguez-Puebla C., Encinas A.H., Garcia-Casado L.A. and Nieto S. (2010) Trends<br />

in warm days and cold nights over the Iberian Peninsula: Relationships to large-scale<br />

variables. Climatic Change. DOI 10.1007/s10584-009-9721-0<br />

Abstracts 324

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!