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dc.contributor.author
Buitink, Joost
dc.contributor.author
Melsen, Lieke A.
dc.contributor.author
Kirchner, James W.
dc.contributor.author
Teuling, Adriaan J.
dc.date.accessioned
2020-12-21T09:30:12Z
dc.date.available
2020-12-20T03:41:09Z
dc.date.available
2020-12-21T09:30:12Z
dc.date.issued
2020
dc.identifier.issn
1991-9603
dc.identifier.issn
1991-959X
dc.identifier.other
10.5194/gmd-13-6093-2020
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/457339
dc.identifier.doi
10.3929/ethz-b-000457339
dc.description.abstract
In this paper, we introduce a new numerically robust distributed rainfall–runoff model for computationally efficient simulation at high spatio-temporal resolution: the distributed simple dynamical systems (dS2) model. The model is based on the simple dynamical systems approach as proposed by Kirchner (2009), and the distributed implementation allows for spatial heterogeneity in the parameters and/or model forcing fields at high spatio-temporal resolution (for instance as derived from precipitation radar data). The concept is extended with snow and routing modules, where the latter transports water from each pixel to the catchment outlet. The sensitivity function, which links changes in storage to changes in discharge, is implemented by a new three-parameter equation that is able to represent the widely observed downward curvature in log–log space. The simplicity of the underlying concept allows the model to calculate discharge in a computationally efficient manner, even at high temporal and spatial resolution, while maintaining proven model performance. The model code is written in Python in order to be easily readable and adjustable while maintaining computational efficiency. Since this model has short runtimes, it allows for extended sensitivity and uncertainty studies with relatively low computational costs. A test application shows good and consistent model performance across scales ranging from 3 to over 1700 km2.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Copernicus Publications
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
A distributed simple dynamical systems approach (dS2 v1.0) for computationally efficient hydrological modelling at high spatio-temporal resolution
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2020-12-02
ethz.journal.title
Geoscientific Model Development
ethz.journal.volume
13
en_US
ethz.journal.issue
12
en_US
ethz.journal.abbreviated
Geosci. model dev.
ethz.pages.start
6093
en_US
ethz.pages.end
6110
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Göttingen
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02722 - Institut für Terrestrische Oekosysteme / Institute of Terrestrial Ecosystems::03798 - Kirchner, James W. / Kirchner, James W.
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02722 - Institut für Terrestrische Oekosysteme / Institute of Terrestrial Ecosystems::03798 - Kirchner, James W. / Kirchner, James W.
ethz.date.deposited
2020-12-20T03:41:16Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-12-21T09:30:22Z
ethz.rosetta.lastUpdated
2021-02-15T22:45:20Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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