The climate-flood linkages are explored by analyzing the underlying common climatic spatio-temporal structure in extreme floods in Germany. Long-term flood variation – in magnitude, frequency, and seasonality – are stud- ied within the climatic framework of the global and regional atmospheric circulation patterns and processes that drive changing combinations of meteorological elements at the catchment scale. Specifically it is carried out: a) a frequency domain analysis of floods and their teleconnections; b) a diagnostic evaluation of the patterns of atmospheric moisture transport for floods in the region of interest, using historical data, ERA-40 re-analysis ( ERA_interim) and retrospective GCM integrations; c) an application of statistical methods to identify the links between floods and large-scale circulations. Multitaper Spectral analysis with Singular Value Decomposition and wavelet analysis are used to analyse the secular and quasi-oscillatory trends in extremes, and their temporal and spatial coherence. The Randomized Dependence Coefficient is used as a measure of non-linear dependence ex- treme floods and large-scale circulation variables.
Exploring the climate-flood link by analyzing the underlying common climatic (spatio-temporal) structure in extreme floods in Germany / Cioffi, Francesco; Conticello, F.; Merz, B.; Lall, U.. - Geophysical Research Abstracts Vol. 17, EGU2015-3741, 2015:(2015). (Intervento presentato al convegno EGU 2015 tenutosi a Vienna nel 12 – 17 April 2015).
Exploring the climate-flood link by analyzing the underlying common climatic (spatio-temporal) structure in extreme floods in Germany
CIOFFI, Francesco;F. Conticello;
2015
Abstract
The climate-flood linkages are explored by analyzing the underlying common climatic spatio-temporal structure in extreme floods in Germany. Long-term flood variation – in magnitude, frequency, and seasonality – are stud- ied within the climatic framework of the global and regional atmospheric circulation patterns and processes that drive changing combinations of meteorological elements at the catchment scale. Specifically it is carried out: a) a frequency domain analysis of floods and their teleconnections; b) a diagnostic evaluation of the patterns of atmospheric moisture transport for floods in the region of interest, using historical data, ERA-40 re-analysis ( ERA_interim) and retrospective GCM integrations; c) an application of statistical methods to identify the links between floods and large-scale circulations. Multitaper Spectral analysis with Singular Value Decomposition and wavelet analysis are used to analyse the secular and quasi-oscillatory trends in extremes, and their temporal and spatial coherence. The Randomized Dependence Coefficient is used as a measure of non-linear dependence ex- treme floods and large-scale circulation variables.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.