Array · dataset · 2025
Gumbel distribution fit parameters for historical GloFAS river discharge data (1979–2023)
Listed in ETH Zürich Research Collection
For the historical GloFAS v4.0 river discharge from 1979 to (and including) 2023, the yearly maximum was calculated for every grid cell.
Description
Then, the time series of yearly maxima for every cell was used to fit a right-skewed Gumbel distribution using the method of moments. The fitted parameters were saved as "loc" and "scale" variables in a NetCDF dataset with the same grid configuration as the GloFAS historical data.
Additionally, the "samples" variable was stored, indicating the number of samples used from each location to fit the respective parameters. The dataset was then compressed using "zlib" with maximum compression level. Joint Research Center, Copernicus Emergency Management Service (2019): River discharge and related historical data from the Global Flood Awareness System.
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Early Warning Data Store (EWDS). DOI: 10.24381/cds.a4fdd6b9 Grimaldi, S., Salamon, P., Disperati, J., Zsoter, E., Russo, C., Ramos, A., Carton De Wiart, C., Barnard, C., Hansford, E., Gomes, G., Prudhomme, C. (2022): River discharge and related historical data from the Global Flood Awareness System, v4.0. European Commission, Joint Research Centre (JRC).
DOI: 10.24381/cds.a4fdd6b9
Links
Where it is published
- ETH Zürich Research Collection record hdl.handle.net/20.500.11850/726304 ↗
landing page · from research collection ethz ch
- DOI doi.org/10.3929/ethz-b-000726304 ↗
DOI / persistent id · from research collection ethz ch
Catalogue records · 1
- OAI-PMH record research-collection.ethz.ch/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Awww.… ↗
metadata API · from research collection ethz ch
Topics
Provenance · 1 source records, 18 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ETH Zürich Research Collection | oai:www.research-collection.ethz.ch:20.500.11850/726304 | 12 d ago | JSON v1 |
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