Interreg EMFloodReslience WPT4.3.1: A beta version of a flash flood early warning system for several tributaries of the Meuse

doi:10.4121/a91158d6-887f-4d6c-bc17-fc79d73809e7.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/a91158d6-887f-4d6c-bc17-fc79d73809e7
Datacite citation style:
Aerts, Jerom (2023): Interreg EMFloodReslience WPT4.3.1: A beta version of a flash flood early warning system for several tributaries of the Meuse. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/a91158d6-887f-4d6c-bc17-fc79d73809e7.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

Data and Scripting for the project: Interreg EMFloodReslience WPT4.3.1: A beta version of a flash flood early warning system for several tributaries of the Meuse.

The data includes the raw model run output from Delft-FEWS configurations, the post-processed output, and the statistical analyses results. Aim of the project is to test the added value of a STEPS-Blending rainfall prediction product for accurate forecasting of discharges in the Dommel, Demer, Rur, Geul, Vesdre catchments based on 3 historical rainfall events. Data includes: 1. Raw discharge estimates of 48 ensemble members per catchment, per rainfall event, and per forecast product. 2. Post-processed discharge estimates of 48 ensemble members per catchment, per rainfall event, and per forecast product. 3. Statistical analyses includes deterministic, probabilistic, contingency, threshold based results. 4. Plots.

history
  • 2023-12-12 first online, published, posted
publisher
4TU.ResearchData
format
image/*.png, results/*.csv, scripts/*.ipynb
funding
  • Interreg EMFloodResilience Project Interreg EMR
organizations
TU Delft, Faculty of Civil engineering and Geosciences, Department of Water Management
Waterschap Limburg, the Netherlands
Wasserverbund Eifel-Rur, Germany

DATA

files (1)