Evaluating a reservoir parametrisation in the vector-based global routing model mizuRoute (v2.0.1) for Earth System Model coupling Article Swipe
Inne Vanderkelen
,
Shervan Gharari
,
Naoki Mizukami
,
Martyn Clark
,
David M. Lawrence
,
Sean Swenson
,
Yadu Pokhrel
,
Naota Hanasaki
,
Ann van Griensven
,
Wim Thiery
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5194/gmd-2022-16
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5194/gmd-2022-16
Human-controlled reservoirs have a large influence on the global water cycle. While global hydrological models use generic parametrisations to model human dam operations, the representation of reservoir regulation is often still lacking in Earth System Models. Here we implement and evaluate a widely used reservoir parametrisation in the global river routing model mizuRoute, which operates on a vector-based river network resolving individual lakes and reservoirs, and which is currently being coupled to an Earth System Model. We develop an approach to determine the downstream area over which to aggregate irrigation water demand per reservoir. The implementation of managed reservoirs is evaluated by comparing to simulations ignoring inland waters, and simulations with reservoirs represented as natural lakes, using (i) local simulations for 26 individual reservoirs driven by observed inflows, and (ii) global-scale simulations driven by runoff from the Community Land Model. The local simulations show a clear added value of the reservoir parametrisation, especially for simulating storage for large reservoirs with a multi-year storage capacity. In the global-scale application, the implementation of reservoirs shows an improvement in outflow and storage compared to the no-reservoir simulation, but compared to the natural lake parametrisation, an overall similar performance is found. This lack of impact could be attributed to biases in simulated river discharge, mainly originating from biases in simulated runoff from the Community Land Model. Finally, the comparison of modelled monthly streamflow indices against observations highlights that the inclusion of dam operations improves the streamflow simulation compared to ignoring lakes and reservoirs. This study overall underlines the need to further develop and test water management parametrisations, as well as to improve runoff simulations for advancing the representation of anthropogenic interference with the terrestrial water cycle in Earth System Models.
Related Topics
Concepts
Streamflow
Environmental science
Surface runoff
Routing (electronic design automation)
Hydrology (agriculture)
Scale (ratio)
Simulation modeling
Meteorology
Computer science
Geology
Geography
Drainage basin
Mathematics
Ecology
Geotechnical engineering
Biology
Mathematical economics
Computer network
Cartography
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.5194/gmd-2022-16
- https://doi.org/10.5194/gmd-2022-16
- OA Status
- gold
- Cited By
- 4
- References
- 31
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4210380736
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4210380736Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5194/gmd-2022-16Digital Object Identifier
- Title
-
Evaluating a reservoir parametrisation in the vector-based global routing model mizuRoute (v2.0.1) for Earth System Model couplingWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-26Full publication date if available
- Authors
-
Inne Vanderkelen, Shervan Gharari, Naoki Mizukami, Martyn Clark, David M. Lawrence, Sean Swenson, Yadu Pokhrel, Naota Hanasaki, Ann van Griensven, Wim ThieryList of authors in order
- Landing page
-
https://doi.org/10.5194/gmd-2022-16Publisher landing page
- PDF URL
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https://doi.org/10.5194/gmd-2022-16Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.5194/gmd-2022-16Direct OA link when available
- Concepts
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Streamflow, Environmental science, Surface runoff, Routing (electronic design automation), Hydrology (agriculture), Scale (ratio), Simulation modeling, Meteorology, Computer science, Geology, Geography, Drainage basin, Mathematics, Ecology, Geotechnical engineering, Biology, Mathematical economics, Computer network, CartographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 1, 2022: 2Per-year citation counts (last 5 years)
- References (count)
-
31Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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