Identification of coherent flood regions across Europe by using the longest streamflow records

Mediero, Luis; Kjeldsen, Thomas; Macdonald, Neil; Kohnová, Silvia; Merz, Bruno; Vorogushyn, Sergiy; Wilson, Donna; Alburquerque, T.; Blöschl, Günter; Bogdanowicz, Ewa; Castellarin, Attilio; Hall, Julia; Kobold, Mira; Kriaučiūnienė, Jūratė; Lang, Michel; Madsen, Henrik; Gul, Gowhar; Perdigão, Rui A. P.; Roald, Lars A.; Salinas, José Luis; Toumazis, Antonis; Veijalainen, Noora; Þórarinsson, Óðinn

doi:10.1016/j.jhydrol.2015.06.016

Cited by 85 publications

(87 citation statements)

References 87 publications

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“…Data Availability. The data analysed in this study is based on the database from the works of Hall et al 2015 andBlöschl et al 2017 with additional some updates.…”

Section: Resultsmentioning

confidence: 99%

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Spatial Patterns and Characteristics of Flood Seasonality in Europe

Hall¹,

Blöschl²

2017

Preprint

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Abstract.In Europe, floods are typically analysed within national boundaries and it is not well understood how the characteristics of local floods fit into a continental perspective. To gain a better understanding at the continental-scale, this study analyses 10 give an indication of its flood characteristics throughout the year and is more relevant than catchment area and outlet elevation for the observed flood seasonality. 25Hydrol. Earth Syst. Sci. Discuss., https://doi

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“…Data Availability. The data analysed in this study is based on the database from the works of Hall et al 2015 andBlöschl et al 2017 with additional some updates.…”

Section: Resultsmentioning

confidence: 99%

“…The data analysed here is based on the database presented by Hall et al (2015), and has been updated as in Blӧschl et al (2017) with some additional updates later. The original database used as a starting point in this study includes data from over 5565 stations from 38 data sources (see Supplement for details).…”

Section: Study Area and Datamentioning

confidence: 99%

Spatial Patterns and Characteristics of Flood Seasonality in Europe

Hall¹,

Blöschl²

2017

Preprint

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“…Africa) (Labat et al, 2004). Although no significant (increasing or decreasing) discharge trends were identified for Europe (Bormann et al, 2011;Labat et al, 2004;Mediero et al, 2015;Robson et al, 1998), Stahl et al (2010) found some regional patterns indicating decreasing annual discharge trends in southern and eastern regions of Europe and generally positive trends elsewhere; furthermore, upward trends were identified in the winter months in most of the considered catchments in Europe. Likewise, based on a literature review Hall et al (2014) noted that, over the past decades, there were generally decreasing trends of floods in the western part of the Mediterranean and the Northern and Eastern Europe, and increasing trends elsewhere.…”

Section: Introductionmentioning

confidence: 86%

The influence of non-stationarity in extreme hydrological events on flood frequency estimation

Šraj

Viglione

Parajka

et al. 2016

Journal of Hydrology and Hydromechanics

101

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Substantial evidence shows that the frequency of hydrological extremes has been changing and is likely to continue to change in the near future. Non-stationary models for flood frequency analyses are one method of accounting for these changes in estimating design values. The objective of the present study is to compare four models in terms of goodness of fit, their uncertainties, the parameter estimation methods and the implications for estimating flood quantiles. Stationary and non-stationary models using the GEV distribution were considered, with parameters dependent on time and on annual precipitation. Furthermore, in order to study the influence of the parameter estimation approach on the results, the maximum likelihood (MLE) and Bayesian Monte Carlo Markov chain (MCMC) methods were compared. The methods were tested for two gauging stations in Slovenia that exhibit significantly increasing trends in annual maximum (AM) discharge series. The comparison of the models suggests that the stationary model tends to underestimate flood quantiles relative to the non-stationary models in recent years. The model with annual precipitation as a covariate exhibits the best goodness-of-fit performance. For a 10% increase in annual precipitation, the 10-year flood increases by 8%. Use of the model for design purposes requires scenarios of future annual precipitation. It is argued that these may be obtained more reliably than scenarios of extreme event precipitation which makes the proposed model more practically useful than alternative models.

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“…The USWRC (1982) introduced an additional criterion concerning the intermediate discharge magnitude between two successive peaks. In this case, two successive discharge peaks can be considered independent if the minimum daily discharge value recorded in between is lower than three-quarters of the smaller peak, as for example applied in Mediero et al (2015).…”

Section: Identification Of Independent Peak Eventsmentioning

confidence: 99%

“…In the literature, some studies can be found where flood trends in Europe were detected using the POT approach. However, these studies considered either high spatial resolution databases at a regional scale (Petrow andMerz 2009, Vormoor et al 2016) or a Europe-wide database with only a limited number of stations (Mediero et al 2015). Moreover, in all these studies, the threshold values used to determine the POT series were selected by fixing a mean number of events either per year or per season (in general a mean of one, two or three flood events was selected).…”

Section: Introductionmentioning

confidence: 99%

Detection of trends in magnitude and frequency of flood peaks across Europe

Mangini

Viglione

Hall

et al. 2018

Hydrological Sciences Journal

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This study analyses the differences in significant trends in magnitude and frequency of floods detected in annual maximum flood (AMF) and peak over threshold (POT) flood peak series, for the period 1965-2005. Flood peaks are identified from European daily discharge data using a baseflow-based algorithm and significant trends in the AMF series are compared with those in the POT series, derived for six different exceedence thresholds. The results show that more trends in flood magnitude are detected in the AMF than in the POT series and for the POT series more significant trends are detected in flood frequency than in flood magnitude. Spatially coherent patterns of significant trends are detected, which are further investigated by stratifying the results into five regions based on catchment and hydro-climatic characteristics. All data and tools used in this study are open-access and the results are fully reproducible. ARTICLE HISTORY

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Identification of coherent flood regions across Europe by using the longest streamflow records

Abstract: This study compiles a new dataset, consisting of the longest available flow series from across Europe, and uses it to study the spatial and temporal clustering of flood events across the : 1900-1999; 1920-1999; 1939-1998 and 1956-1995

Cited by 85 publications

References 87 publications

Spatial Patterns and Characteristics of Flood Seasonality in Europe

Spatial Patterns and Characteristics of Flood Seasonality in Europe

The influence of non-stationarity in extreme hydrological events on flood frequency estimation

Detection of trends in magnitude and frequency of flood peaks across Europe

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