Evaluating a reservoir parametrization 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-15-4163-2022
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5194/gmd-15-4163-2022
Human-controlled reservoirs have a large influence on the global water cycle. While global hydrological models use generic parameterizations to model dam operations, the representation of reservoir regulation is still lacking in many Earth system models. Here we implement and evaluate a widely used reservoir parametrization in the global river-routing model mizuRoute, which operates on a vector-based river network resolving individual lakes and reservoirs and 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 them 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-domain simulations driven by runoff from the Community Land Model. The local simulations show the clear added value of the reservoir parametrization, especially for simulating storage for large reservoirs with a multi-year storage capacity. In the global-domain application, the implementation of reservoirs shows an improvement in outflow and storage compared to the no-reservoir simulation, but a similar performance is found compared to the natural lake parametrization. The limited impact of reservoirs on skill statistics 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 including dam operations improves the streamflow simulation compared to ignoring lakes and reservoirs. This study overall underlines the need to further develop and test runoff simulations and water management parameterizations in order to improve the representation of anthropogenic interference of the terrestrial water cycle in Earth system models.
Related Topics
Concepts
Parametrization (atmospheric modeling)
Streamflow
Environmental science
Routing (electronic design automation)
Surface runoff
Hydrology (agriculture)
Meteorology
Computer science
Geology
Drainage basin
Ecology
Geography
Geotechnical engineering
Radiative transfer
Computer network
Cartography
Physics
Quantum mechanics
Biology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5194/gmd-15-4163-2022
- OA Status
- gold
- Cited By
- 38
- References
- 82
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4281702866
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4281702866Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5194/gmd-15-4163-2022Digital Object Identifier
- Title
-
Evaluating a reservoir parametrization in the vector-based global routing model mizuRoute (v2.0.1) for Earth system model couplingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-06-01Full 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-15-4163-2022Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5194/gmd-15-4163-2022Direct OA link when available
- Concepts
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Parametrization (atmospheric modeling), Streamflow, Environmental science, Routing (electronic design automation), Surface runoff, Hydrology (agriculture), Meteorology, Computer science, Geology, Drainage basin, Ecology, Geography, Geotechnical engineering, Radiative transfer, Computer network, Cartography, Physics, Quantum mechanics, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
38Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 7, 2024: 4, 2023: 7, 2022: 20Per-year citation counts (last 5 years)
- References (count)
-
82Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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