Persistent Identifier
|
doi:10.11588/data/PFDJI1 |
Publication Date
|
2020-10-23 |
Title
| Standardized Streamflow Index time series for 369 rivers across Europe |
Author
| Tijdeman, Erik (Institute of Geography, Heidelberg University, Heidelberg, Germany) - ORCID: https://orcid.org/0000-0001-6228-7391
Kerstin Stahl (Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany) - ORCID: https://orcid.org/0000-0002-2159-9441
Lena M. Tallaksen (Department of Geosciences, University of Oslo, Oslo, Norway) https://orcid.org/0000-0002-8480-7842 |
Point of Contact
|
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Tijdeman, Erik (Institute of Geography, Heidelberg University, Germany) |
Description
| 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) |
Subject
| Earth and Environmental Sciences |
Keyword
| Drought
Streamflow drought
Drought identification
Standardized Streamflow Index
Sensitivity analyses
Drought monitoring and early warning |
Topic Classification
| Hydrology
Drought |
Related Publication
| Tijdeman, E., Stahl, K., & Tallaksen, L. M. (2020). Drought characteristics derived based on the Standardized Streamflow Index - a large sample comparison for parametric and nonparametric methods. Water Resources Research doi: 10.1029/2019WR026315 https://doi.org/10.1029/2019WR026315 |
Language
| English |
Producer
| Erik Tijdeman (Institute of Geography, Heidelberg University, Heidelberg, Germany) |
Production Date
| 2020-03-10 |
Production Location
| Heidelberg |
Funding Information
| Research Network Water by the Ministry of Science, Research, and the Arts of the German Federal State of Baden‐Württemberg |
Depositor
| Erik Tijdeman |
Deposit Date
| 2020-03-12 |
Time Period
| Start Date: 1965-01-01 ; End Date: 2009-01-01 |
Data Type
| Drought time series |
Software
| R, Version: 3.4.2 |
Related Material
| Package used to derive SSI time series: - SCI: https://cran.r-project.org/web/packages/SCI/index.html - Lmomco: https://cran.r-project.org/web/packages/lmomco/index.html - Tweedie: https://cran.r-project.org/web/packages/tweedie/index.html - evd: https://cran.r-project.org/web/packages/evd/index.html
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Data Source
| Data to derive SSI timeseries was obtained from: The European Water Archive (EWA): https://www.bafg.de/GRDC/EN/04_spcldtbss/42_EWA/ewa.html The regional state office for the environment of the federal state Baden-Württemberg: https://www.lubw.baden-wuerttemberg.de |