mosartwmpy: A Python implementation of the MOSART-WM coupled hydrologic routing and water management model
Abstract
mosartwmpy is a Python implementation of the Model for Scale Adaptive River Transport with Water Management (MOSART-WM). This new version retains the functionality of the legacy model (written in FORTRAN) while providing new features to enhance user experience and extensibility. MOSART is a large-scale river-routing model used to study riverine dynamics of water, energy, and biogeochemistry cycles across local, regional, and global scales (Li et al., 2013). The WM component introduced by Voisin et al. (2013) represents river regulation through reservoir storage and release operations, diversions from reservoir releases, and allocation to sectoral water demands. Each reservoir release is independently calibrated using long-term mean monthly inflow into the reservoir, long-term mean monthly demand associated with this reservoir, and reservoir goals (flood control, irrigation, recreation, etc.). Generic monthly pre-release rules and storage targets are set up for individual reservoirs; however, those releases are updated annually for inter-annual variability (dry or wet year) and daily for environmental constraints such as flow minimum release and minimum/maximum storage levels. The WM model allows an evaluation of the impact of water management over multiple river basins at once (global, continental scales) and with consistent representation of human operations over the full domain.
- Authors:
-
[1];
[1];
[1];
[1];
[1];
[1]
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Publication Date:
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1833863
- Report Number(s):
- PNNL-SA-161232
Journal ID: ISSN 2475-9066
- Grant/Contract Number:
- AC05-76RL01830
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Open Source Software
- Additional Journal Information:
- Journal Volume: 6; Journal Issue: 62; Journal ID: ISSN 2475-9066
- Publisher:
- Open Source Initiative - NumFOCUS
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; hydrology; water management; multisector dynamics; reservoir modeling
Citation Formats
Thurber, Travis, Vernon, Chris, Sun, Ning, Turner, Sean, Yoon, Jim, and Voisin, Nathalie. mosartwmpy: A Python implementation of the MOSART-WM coupled hydrologic routing and water management model. United States: N. p., 2021.
Web. doi:10.21105/joss.03221.
Thurber, Travis, Vernon, Chris, Sun, Ning, Turner, Sean, Yoon, Jim, & Voisin, Nathalie. mosartwmpy: A Python implementation of the MOSART-WM coupled hydrologic routing and water management model. United States. https://doi.org/10.21105/joss.03221
Thurber, Travis, Vernon, Chris, Sun, Ning, Turner, Sean, Yoon, Jim, and Voisin, Nathalie. Thu .
"mosartwmpy: A Python implementation of the MOSART-WM coupled hydrologic routing and water management model". United States. https://doi.org/10.21105/joss.03221. https://www.osti.gov/servlets/purl/1833863.
@article{osti_1833863,
title = {mosartwmpy: A Python implementation of the MOSART-WM coupled hydrologic routing and water management model},
author = {Thurber, Travis and Vernon, Chris and Sun, Ning and Turner, Sean and Yoon, Jim and Voisin, Nathalie},
abstractNote = {mosartwmpy is a Python implementation of the Model for Scale Adaptive River Transport with Water Management (MOSART-WM). This new version retains the functionality of the legacy model (written in FORTRAN) while providing new features to enhance user experience and extensibility. MOSART is a large-scale river-routing model used to study riverine dynamics of water, energy, and biogeochemistry cycles across local, regional, and global scales (Li et al., 2013). The WM component introduced by Voisin et al. (2013) represents river regulation through reservoir storage and release operations, diversions from reservoir releases, and allocation to sectoral water demands. Each reservoir release is independently calibrated using long-term mean monthly inflow into the reservoir, long-term mean monthly demand associated with this reservoir, and reservoir goals (flood control, irrigation, recreation, etc.). Generic monthly pre-release rules and storage targets are set up for individual reservoirs; however, those releases are updated annually for inter-annual variability (dry or wet year) and daily for environmental constraints such as flow minimum release and minimum/maximum storage levels. The WM model allows an evaluation of the impact of water management over multiple river basins at once (global, continental scales) and with consistent representation of human operations over the full domain.},
doi = {10.21105/joss.03221},
journal = {Journal of Open Source Software},
number = 62,
volume = 6,
place = {United States},
year = {Thu Jun 24 00:00:00 EDT 2021},
month = {Thu Jun 24 00:00:00 EDT 2021}
}
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