Articles | Volume 13, issue 3
https://doi.org/10.5194/gmd-13-1373-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-1373-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
23 Mar 2020
Model description paper |
| 23 Mar 2020
| 23 Mar 2020
Simulating coupled surface–subsurface flows with ParFlow v3.5.0: capabilities, applications, and ongoing development of an open-source, massively parallel, integrated hydrologic model
Civil and Environmental Engineering, Washington State University,
Pullman, WA, USA
Nicholas B. Engdahl
Civil and Environmental Engineering, Washington State University,
Pullman, WA, USA
Carol S. Woodward
Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, Livermore, CA, USA
Laura E. Condon
Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ, USA
Stefan Kollet
Institute for Bio- and Geosciences, Agrosphere (IBG-3), Research
Centre Jülich, Geoverbund ABC/J, Jülich, Germany
Centre for High-Performance Scientific Computing in Terrestrial
Systems, Geoverbund ABC/J, Jülich, Germany
Reed M. Maxwell
Integrated GroundWater Modeling Center and Department of Geology and Geological Engineering, Colorado School of Mines, Golden, CO, USA
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- SW2D-GPU: A two-dimensional shallow water model accelerated by GPGPU T. Carlotto et al. 10.1016/j.envsoft.2021.105205
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- Leveraging HPC accelerator architectures with modern techniques — hydrologic modeling on GPUs with ParFlow J. Hokkanen et al. 10.1007/s10596-021-10051-4
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- Resolution matters when modeling climate change in headwaters of the Colorado River L. Foster et al. 10.1088/1748-9326/aba77f
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- Improvement of soil moisture and groundwater level estimations using a scale‐consistent river parameterization for the coupled ParFlow-CLM hydrological model: A case study of the Upper Rhine Basin S. Soltani et al. 10.1016/j.jhydrol.2022.127991
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- Hydrological forecasting at impact scale: the integrated ParFlow hydrological model at 0.6 km for climate resilient water resource management over Germany A. Belleflamme et al. 10.3389/frwa.2023.1183642
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- Focal-TSMP: deep learning for vegetation health prediction and agricultural drought assessment from a regional climate simulation M. Shams Eddin & J. Gall 10.5194/gmd-17-2987-2024
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- Multicriteria land cover design via coupled hydrologic and multi-sector water management models T. Janus et al. 10.1016/j.jhydrol.2023.129294
- Simulating the recession dynamics of Arctic catchments in the context of a thawing permafrost F. Sergeant et al. 10.1016/j.jhydrol.2023.129847
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- From legacy contamination to watershed systems science: a review of scientific insights and technologies developed through DOE-supported research in water and energy security D. Dwivedi et al. 10.1088/1748-9326/ac59a9
- Routing Nutrient Concentrations in a River Reach Using an Object-Oriented Modeling Based on the Concepts of System Dynamics M. Ghashghaie et al. 10.1007/s41101-020-00092-8
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- Investigating the Impact of Irrigation on Malaria Vector Larval Habitats and Transmission Using a Hydrology‐Based Model A. Jiang et al. 10.1029/2023GH000868
Latest update: 20 Nov 2024
Short summary
Integrated hydrologic models (IHMs) were developed in order to allow for more accurate simulations of real-world ecohydrologic conditions. Many IHMs exist, and the literature can be dense, so it is often difficult to understand what a specific model can and cannot do. We provide a review of the current core capabilities, solution techniques, communication structure with other models, some limitations, and potential future improvements of one such open-source integrated model called ParFlow.
Integrated hydrologic models (IHMs) were developed in order to allow for more accurate...
