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Standardized streamflow index time series for 369 rivers across Europe

There are many ways to characterize the streamflow drought hazard. Recently, the use of anomaly indices, such as the Standardized Streamflow index (SSI), a probability index-based approach adopted from the climatological community, increased in popularity. The SSI can be calculated based on various...

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Bibliographische Detailangaben
Hauptverfasser: Tijdeman, Erik (VerfasserIn) , Stahl, Kerstin (VerfasserIn) , Tallaksen, Lena M. (VerfasserIn)
Dokumenttyp: Datenbank Forschungsdaten
Sprache:Englisch
Veröffentlicht: Heidelberg Universität 2020-10-23
DOI:10.11588/data/PFDJI1
Schlagworte:
Forschungsdaten
Datenbank
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.11588/data/PFDJI1
Verlag, kostenfrei, Volltext: https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/data/PFDJI1
Volltext
Verfasserangaben:Erik Tijdeman, Kerstin Stahl, Lena M. Tallaksen
Beschreibung
Zusammenfassung:There are many ways to characterize the streamflow drought hazard. Recently, the use of anomaly indices, such as the Standardized Streamflow index (SSI), a probability index-based approach adopted from the climatological community, increased in popularity. The SSI can be calculated based on various probability distributions that can be fitted using different methods. Up to now, there is no consensus on which method to use. This data set contains SSI time series of 369 rivers located across Europe derived with seven different probability distributions and two fitting methods. These data were used to investigate the sensitivity of the SSI, and drought characteristics derived from SSI time series, to the used distribution and fitting method. The dataset also contains ensembles of SSI time series derived from resampled data. These resampled SSI time series were used to investigate the sensitivity of the SSI to various sample properties as well as to estimate its uncertainty. (2020-03-12)
Beschreibung:Grant information: Research Network Water by the Ministry of Science, Research, and the Arts of the German Federal State of Baden‐Württemberg
Deposit date: 2020-03-12
Kind of data: Drought time series
Gesehen am 29.10.2020
Beschreibung:Online Resource
DOI:10.11588/data/PFDJI1

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