We analyze over a century of continuous rainfall data available from the ECA&D archive for spatio-temporal trends in extreme precipitation. The database includes 267 stations with records longer than 100 years. For each station, we identify daily rainfall events in the winter 6 months (Oct-Mar) that exceed the 90th and 95th percentile of daily rainfall. An annual time series of the frequency of such events is created, as well as an annual time series of the total precipitation above the threshold in these events. Space and time analyses of the variation of the frequency and intensity time series are then pursued using both multivariate time and frequency domain methods and principal component analysis (PCA). The key trends and organized spectral modes identified are related to potential anthropogenic change and to well established climate indices (e.g., NAO, EAWR and SL). The analysis shows that there is compelling evidence for statistically significant trends for increasing frequency and intensity of exceedance of daily rainfall extremes in the Oct-Mar season over North and Western Europe, where the highest station density is located. From a Principal Component Analysis and from a MTM-SVD analysis, these trends are seen to be spatially coherent. Furthermore, the influence of NAO and ENSO is seen through the significance of the frequency spectra of the associated climate indices and the leading PC of each series analyzed. The ENSO connection is prominent at a frequency of ∼ 0.2 cycles/year, and for NAO at a frequency of ∼ 0.15 cycles/year.
SPACE-TIME STRUCTURE OF EXTREME PRECIPITATION IN EUROPE OVER THE LAST CENTURY: A CLIMATE PERSPECTIVE / Ester, Rus; Cioffi, Francesco; Chandra Kiran B., Krishnamurthy; Upmanu, Lall. - STAMPA. - (2012). (Intervento presentato al convegno XXXIII Convegno di Idraulica e Costruzioni Idrauliche tenutosi a Brescia nel 10-15 Settembre 2012).
SPACE-TIME STRUCTURE OF EXTREME PRECIPITATION IN EUROPE OVER THE LAST CENTURY: A CLIMATE PERSPECTIVE
CIOFFI, Francesco;
2012
Abstract
We analyze over a century of continuous rainfall data available from the ECA&D archive for spatio-temporal trends in extreme precipitation. The database includes 267 stations with records longer than 100 years. For each station, we identify daily rainfall events in the winter 6 months (Oct-Mar) that exceed the 90th and 95th percentile of daily rainfall. An annual time series of the frequency of such events is created, as well as an annual time series of the total precipitation above the threshold in these events. Space and time analyses of the variation of the frequency and intensity time series are then pursued using both multivariate time and frequency domain methods and principal component analysis (PCA). The key trends and organized spectral modes identified are related to potential anthropogenic change and to well established climate indices (e.g., NAO, EAWR and SL). The analysis shows that there is compelling evidence for statistically significant trends for increasing frequency and intensity of exceedance of daily rainfall extremes in the Oct-Mar season over North and Western Europe, where the highest station density is located. From a Principal Component Analysis and from a MTM-SVD analysis, these trends are seen to be spatially coherent. Furthermore, the influence of NAO and ENSO is seen through the significance of the frequency spectra of the associated climate indices and the leading PC of each series analyzed. The ENSO connection is prominent at a frequency of ∼ 0.2 cycles/year, and for NAO at a frequency of ∼ 0.15 cycles/year.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.