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| Type: | Resource | |
| Storage: | The size of this resource is 8.9 GB | |
| Created: | May 04, 2022 at 9:23 a.m. | |
| Last updated: | Jan 08, 2024 at 1:49 p.m. | |
| DOI: | 10.4211/hs.937927473a3a4e66a07a2e2fdd9d581e | |
| Citation: | See how to cite this resource | |
| Content types: | Single File Content Geographic Raster Content |
| Sharing Status: | Published |
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| Views: | 721 |
| Downloads: | 85 |
| +1 Votes: | Be the first one to this. |
| Comments: | 1 comment |
Abstract
Floods are among the most common natural disasters responsible for severe damages and human losses. Numerically produced data, managed by user-friendly tools for geographically referenced data, has been adopted to increase preparedness and reduce vulnerabilities. This paper describes the locally sensed and numerically produced data that characterize a flood event occurred in February 2016 in the Portuguese Águeda river, shortly referred as Agueda.2016Flood. The data was managed through the RiverCure Portal, a collaborative web platform connected to a validated shallow-water model featuring modelled dynamic bed geometries and sediment transport. The dataset provides a synthesis of topo-bathymetric, hydrometric and numerically-produced data from a calibrated hydrodynamic model. Due to the lack of measured hydrometric data near the city, the numerically produced data is crucial for the complete description of the flood event. The Agueda.2016Flood dataset constitutes a complete validation test for flood forecasting models and a tool to better mitigate floods in this river and in similar rivers. Thus, Agueda.2016Flood is a relevant dataset for River Águeda stakeholders as well as for the community of flood modellers, as it provides a well-documented validation event for forecasting tools.
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Related Resources
| This resource is described by | Ricardo, A. M., Ferreira, R. M. L., Rodrigues da Silva, A., Estima, J., Marques, J., Gamito, I., and Serra, A.: Flood simulation with the RiverCure approach: the open dataset of the 2016 Águeda flood event. Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2023-100, 2024. |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| Fundação para a Ciência e Tecnologia | This research was partially supported by Portuguese and European funds, within the COMPETE 2020 and PORL-FEDER programs, through project RiverCure and DikesFPro.. | PTDC/CTA-OHR/29360/2017 & PTDC/ECI-EGC/7739/2020 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
Ana M Ricardo 3 months, 2 weeks ago
The authors are available to provide further details or clarifications needed to understand the dataset. For any enquire, please contact Ana M Ricardo by email (ana.ricardo@tecnico.ulisboa.pt).
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