Flood simulation data of a 100-year designed storm in 656 catchment areas of Switzerland
dc.contributor.author
Guo, Zifeng
dc.contributor.contactPerson
Guo, Zifeng
dc.contributor.researcher
Guo, Zifeng
dc.contributor.researcher
Leitão, João Paulo
dc.contributor.researcher
Moosavi, Vahid
dc.contributor.researchGroup
Hovestadt, Ludger
dc.date.accessioned
2020-11-27T08:29:15Z
dc.date.available
2020-11-26T17:23:09Z
dc.date.available
2020-11-27T08:29:15Z
dc.date.created
2019-10-01
en_US
dc.date.issued
2020
dc.identifier.uri
http://hdl.handle.net/20.500.11850/453305
dc.identifier.doi
10.3929/ethz-b-000453305
dc.description.abstract
This dataset contains 656 catchment areas as well as their corresponding flood simulations created by CADDIES model (Guidolin et al., 2016). Among all the catchment areas, 649 were collected from a 90km x 65km region near the Canton of Zurich, Switzerland. These catchment areas are labeled as the "main dataset". The rest 7 catchment areas were from the city of Geneve and Lausanne, Switzerland. These catchment areas are labeled as the "validation dataset". Each catchment area consists of three rasters: the elevation raster, the water depth raster and the flow velocity raster. All the rasters are ASC format and were compressed using gzip. The coordinate system of the rasters are LV03. All the elevation data were collected from the GeoVITe geodata service of ETH Zurich
en_US
dc.format
application/zip
en_US
dc.format
application/x-gzip
en_US
dc.format
text/plain
en_US
dc.format
text/csv
en_US
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.rights.uri
http://www.gnu.org/licenses/gpl-3.0
dc.subject
Flood simulation
en_US
dc.subject
data-driven flood prediction
en_US
dc.title
Flood simulation data of a 100-year designed storm in 656 catchment areas of Switzerland
en_US
dc.type
Dataset
dc.rights.license
GNU General Public License 3.0
dc.date.published
2020-11-27
ethz.size
14.03 GB
en_US
ethz.code.ddc
DDC - DDC::0 - Computer science, information & general works::004 - Data processing, computer science
en_US
ethz.geolocation.placename
Canton of Zurich
ethz.geolocation.placename
Geneve
ethz.geolocation.placename
Lausanne
ethz.publication.place
Zurich
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02100 - Dep. Architektur / Dep. of Architecture::02602 - Inst. f. Technologie in der Architektur / Institute for Technology in Architecture::03563 - Hovestadt, Ludger / Hovestadt, Ludger
en_US
ethz.tag
data-driven modeling
en_US
ethz.date.retentionend
10 years
en_US
ethz.date.retentionendDate
2030-11-27T08:29:25Z
ethz.date.deposited
2020-11-26T17:23:31Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.description.methods
CADDIES: A weighted cellular automata 2D inundation model for rapid flood analysis.
en_US
ethz.description.software
CADDIES model
en_US
ethz.rosetta.installDate
2020-11-27T08:41:01Z
ethz.rosetta.lastUpdated
2021-02-15T21:15:59Z
ethz.rosetta.versionExported
true
ethz.COinS
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