Model Data for the Mesh Convergence Study Demonstrating Benefits of Mixed-polyhedral Mesh in Integrated Hydrology Simulations
Abstract
This archived model data is related to a study introducing a unique method that employs a stream-aligned mixed-polyhedral mesh to effectively and accurately represent river valleys, stream corridors, and narrow engineered channels in integrated hydrology simulations. The study finds that utilizing stream-aligned mixed-polyhedral meshes in integrated hydrology simulations achieves accuracy on par with a finely refined TIN-based mesh while markedly diminishing computational costs. This archive contains scripts and data files needed to generate the ATS model input, including mesh and ATS input files, for all mesh scenarios using the Watershed Workflow package. Additionally, this archive also provides key outputs from the model simulations that are used in the analysis and post-processing scripts to reproduce figures in the manuscript. The Watershed Workflow package is implemented in Python3. The Jupyter notebooks can be executed through multiple open-source tools, for example, Anaconda Jupyter Lab, VS Studio Code, etc. Other data files include CSV and HDF5 files, which can be read through Python scripts. The input files for the ATS model, open-source integrated hydrology, and transport model are in XML format and can be edited in any commonly used text editors.
- Authors:
-
- Oak Ridge National Laboratory; Oak Ridge National Laboratory
- Oak Ridge National Laboratory
- Publication Date:
- Research Org.:
- Environmental System Science Data Infrastructure for a Virtual Ecosystem; IDEAS Applications: Reactive-Transport and Integrated Hydrology Model Development (IDEAS = Interoperable Design of Extreme Scale Application Software)
- Sponsoring Org.:
- U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- Subject:
- 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER; hydrology; meshing; streams
- OSTI Identifier:
- 2007951
- DOI:
- https://doi.org/10.15485/2007951
Citation Formats
Rathore, Saubhagya, Coon, Ethan, and Painter, Scott. Model Data for the Mesh Convergence Study Demonstrating Benefits of Mixed-polyhedral Mesh in Integrated Hydrology Simulations. United States: N. p., 2023.
Web. doi:10.15485/2007951.
Rathore, Saubhagya, Coon, Ethan, & Painter, Scott. Model Data for the Mesh Convergence Study Demonstrating Benefits of Mixed-polyhedral Mesh in Integrated Hydrology Simulations. United States. doi:https://doi.org/10.15485/2007951
Rathore, Saubhagya, Coon, Ethan, and Painter, Scott. 2023.
"Model Data for the Mesh Convergence Study Demonstrating Benefits of Mixed-polyhedral Mesh in Integrated Hydrology Simulations". United States. doi:https://doi.org/10.15485/2007951. https://www.osti.gov/servlets/purl/2007951. Pub date:Sun Jan 01 04:00:00 UTC 2023
@article{osti_2007951,
title = {Model Data for the Mesh Convergence Study Demonstrating Benefits of Mixed-polyhedral Mesh in Integrated Hydrology Simulations},
author = {Rathore, Saubhagya and Coon, Ethan and Painter, Scott},
abstractNote = {This archived model data is related to a study introducing a unique method that employs a stream-aligned mixed-polyhedral mesh to effectively and accurately represent river valleys, stream corridors, and narrow engineered channels in integrated hydrology simulations. The study finds that utilizing stream-aligned mixed-polyhedral meshes in integrated hydrology simulations achieves accuracy on par with a finely refined TIN-based mesh while markedly diminishing computational costs. This archive contains scripts and data files needed to generate the ATS model input, including mesh and ATS input files, for all mesh scenarios using the Watershed Workflow package. Additionally, this archive also provides key outputs from the model simulations that are used in the analysis and post-processing scripts to reproduce figures in the manuscript. The Watershed Workflow package is implemented in Python3. The Jupyter notebooks can be executed through multiple open-source tools, for example, Anaconda Jupyter Lab, VS Studio Code, etc. Other data files include CSV and HDF5 files, which can be read through Python scripts. The input files for the ATS model, open-source integrated hydrology, and transport model are in XML format and can be edited in any commonly used text editors.},
doi = {10.15485/2007951},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jan 01 04:00:00 UTC 2023},
month = {Sun Jan 01 04:00:00 UTC 2023}
}
