Articles | Volume 14, issue 12
https://doi.org/10.5194/gmd-14-7223-2021
© Author(s) 2021. 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-14-7223-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| Highlight paper
| 
30 Nov 2021
Model evaluation paper | Highlight paper |
| 30 Nov 2021
| 30 Nov 2021
Assessment of the ParFlow–CLM CONUS 1.0 integrated hydrologic model: evaluation of hyper-resolution water balance components across the contiguous United States
Mary M. F. O'Neill
CORRESPONDING AUTHOR
Department of Geology and Geological Engineering, Colorado School of Mines, Golden, CO, USA
now at: Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
now at: Earth System Science Interdisciplinary Center, University of Maryland, College Park, Greenbelt, MD, USA
Danielle T. Tijerina
Department of Civil and Environmental Engineering and High Meadows Environmental Institute, Princeton University, Princeton, NJ, USA
Laura E. Condon
Department of Hydrology and Atmospheric Sciences, The University of Arizona, Tuscon, AZ, USA
Reed M. Maxwell
Department of Civil and Environmental Engineering and High Meadows Environmental Institute, Princeton University, Princeton, NJ, USA
Viewed
Total article views: 4,905 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 07 Dec 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 3,642 | 1,146 | 117 | 4,905 | 182 | 80 | 91 |
- HTML: 3,642
- PDF: 1,146
- XML: 117
- Total: 4,905
- Supplement: 182
- BibTeX: 80
- EndNote: 91
Total article views: 4,021 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 30 Nov 2021)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 3,191 | 718 | 112 | 4,021 | 182 | 71 | 75 |
- HTML: 3,191
- PDF: 718
- XML: 112
- Total: 4,021
- Supplement: 182
- BibTeX: 71
- EndNote: 75
Total article views: 884 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 07 Dec 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 451 | 428 | 5 | 884 | 9 | 16 |
- HTML: 451
- PDF: 428
- XML: 5
- Total: 884
- BibTeX: 9
- EndNote: 16
Viewed (geographical distribution)
Total article views: 4,905 (including HTML, PDF, and XML)
Thereof 4,614 with geography defined
and 291 with unknown origin.
Total article views: 4,021 (including HTML, PDF, and XML)
Thereof 3,848 with geography defined
and 173 with unknown origin.
Total article views: 884 (including HTML, PDF, and XML)
Thereof 766 with geography defined
and 118 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
28 citations as recorded by crossref.
- Comprehensive Evaluation of Multisource Soil Moisture Products in a Managed Agricultural Region: An Integrated Hydrologic Modeling Approach Z. Lu et al. 10.1109/JSTARS.2023.3289649
- Decadal Lake Volume Changes (2003–2020) and Driving Forces at a Global Scale Y. Feng et al. 10.3390/rs14041032
- Impacts of Topography‐Driven Water Redistribution on Terrestrial Water Storage Change in California Through Ecosystem Responses X. Zhang et al. 10.1029/2023WR035572
- Hyper-resolution PCR-GLOBWB: opportunities and challenges from refining model spatial resolution to 1 km over the European continent J. Hoch et al. 10.5194/hess-27-1383-2023
- Evaluation of E3SM land model snow simulations over the western United States D. Hao et al. 10.5194/tc-17-673-2023
- Evaluation of distributed process-based hydrologic model performance using only a priori information to define model inputs S. Bhanja et al. 10.1016/j.jhydrol.2023.129176
- 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
- Using national hydrologic models to obtain regional climate change impacts on streamflow basins with unrepresented processes P. Bosompemaa et al. 10.1016/j.envsoft.2024.106234
- Effects of hydraulic conductivity on simulating groundwater–land surface interactions over a typical endorheic river basin Z. Lu et al. 10.1016/j.jhydrol.2024.131542
- Research on Sustainable Development of Olympic Games Based on Ecological Carrying Capacity Analysis B. Zhang et al. 10.1155/2022/4907366
- Estimating Groundwater Recharge in Fully Integrated pde‐Based Hydrological Models B. Waldowski et al. 10.1029/2022WR032430
- Flood generation: process patterns from the raindrop to the ocean G. Blöschl 10.5194/hess-26-2469-2022
- Global 1 km land surface parameters for kilometer-scale Earth system modeling L. Li et al. 10.5194/essd-16-2007-2024
- Continental-scale evaluation of a fully distributed coupled land surface and groundwater model, ParFlow-CLM (v3.6.0), over Europe B. Naz et al. 10.5194/gmd-16-1617-2023
- Regional coupled surface–subsurface hydrological model fitting based on a spatially distributed minimalist reduction of frequency domain discharge data N. Flipo et al. 10.5194/gmd-16-353-2023
- SubsetTools: A Python package to subset data to build and run ParFlow hydrologic models A. Triplett et al. 10.21105/joss.06752
- A high-resolution, 3D groundwater-surface water simulation of the contiguous US: Advances in the integrated ParFlow CONUS 2.0 modeling platform C. Yang et al. 10.1016/j.jhydrol.2023.130294
- Transit Time Estimation in Catchments: Recent Developments and Future Directions P. Benettin et al. 10.1029/2022WR033096
- hf_hydrodata: A Python package for accessing hydrologic simulations and observations across the United States A. Defnet et al. 10.21105/joss.06623
- Training machine learning with physics-based simulations to predict 2D soil moisture fields in a changing climate E. Leonarduzzi et al. 10.3389/frwa.2022.927113
- A decomposition approach to evaluating the local performance of global streamflow reanalysis T. Zhao et al. 10.5194/hess-28-3597-2024
- Augmenting the National agroecosystem model with physically based spatially distributed groundwater modeling R. Bailey et al. 10.1016/j.envsoft.2022.105589
- On the Uncertainty Induced by Pedotransfer Functions in Terrestrial Biosphere Modeling A. Paschalis et al. 10.1029/2021WR031871
- Advancing process-based flood frequency analysis for assessing flood hazard and population flood exposure G. Perez et al. 10.1016/j.jhydrol.2024.131620
- Synergy between satellite observations of soil moisture and water storage anomalies for runoff estimation S. Camici et al. 10.5194/gmd-15-6935-2022
- 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
- Remote sensing and hydrogeophysics give a new impetus to integrated hydrological models: A review M. Lubczynski et al. 10.1016/j.jhydrol.2024.130901
- Continental Hydrologic Intercomparison Project, Phase 1: A Large‐Scale Hydrologic Model Comparison Over the Continental United States D. Tijerina‐Kreuzer et al. 10.1029/2020WR028931
27 citations as recorded by crossref.
- Comprehensive Evaluation of Multisource Soil Moisture Products in a Managed Agricultural Region: An Integrated Hydrologic Modeling Approach Z. Lu et al. 10.1109/JSTARS.2023.3289649
- Decadal Lake Volume Changes (2003–2020) and Driving Forces at a Global Scale Y. Feng et al. 10.3390/rs14041032
- Impacts of Topography‐Driven Water Redistribution on Terrestrial Water Storage Change in California Through Ecosystem Responses X. Zhang et al. 10.1029/2023WR035572
- Hyper-resolution PCR-GLOBWB: opportunities and challenges from refining model spatial resolution to 1 km over the European continent J. Hoch et al. 10.5194/hess-27-1383-2023
- Evaluation of E3SM land model snow simulations over the western United States D. Hao et al. 10.5194/tc-17-673-2023
- Evaluation of distributed process-based hydrologic model performance using only a priori information to define model inputs S. Bhanja et al. 10.1016/j.jhydrol.2023.129176
- 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
- Using national hydrologic models to obtain regional climate change impacts on streamflow basins with unrepresented processes P. Bosompemaa et al. 10.1016/j.envsoft.2024.106234
- Effects of hydraulic conductivity on simulating groundwater–land surface interactions over a typical endorheic river basin Z. Lu et al. 10.1016/j.jhydrol.2024.131542
- Research on Sustainable Development of Olympic Games Based on Ecological Carrying Capacity Analysis B. Zhang et al. 10.1155/2022/4907366
- Estimating Groundwater Recharge in Fully Integrated pde‐Based Hydrological Models B. Waldowski et al. 10.1029/2022WR032430
- Flood generation: process patterns from the raindrop to the ocean G. Blöschl 10.5194/hess-26-2469-2022
- Global 1 km land surface parameters for kilometer-scale Earth system modeling L. Li et al. 10.5194/essd-16-2007-2024
- Continental-scale evaluation of a fully distributed coupled land surface and groundwater model, ParFlow-CLM (v3.6.0), over Europe B. Naz et al. 10.5194/gmd-16-1617-2023
- Regional coupled surface–subsurface hydrological model fitting based on a spatially distributed minimalist reduction of frequency domain discharge data N. Flipo et al. 10.5194/gmd-16-353-2023
- SubsetTools: A Python package to subset data to build and run ParFlow hydrologic models A. Triplett et al. 10.21105/joss.06752
- A high-resolution, 3D groundwater-surface water simulation of the contiguous US: Advances in the integrated ParFlow CONUS 2.0 modeling platform C. Yang et al. 10.1016/j.jhydrol.2023.130294
- Transit Time Estimation in Catchments: Recent Developments and Future Directions P. Benettin et al. 10.1029/2022WR033096
- hf_hydrodata: A Python package for accessing hydrologic simulations and observations across the United States A. Defnet et al. 10.21105/joss.06623
- Training machine learning with physics-based simulations to predict 2D soil moisture fields in a changing climate E. Leonarduzzi et al. 10.3389/frwa.2022.927113
- A decomposition approach to evaluating the local performance of global streamflow reanalysis T. Zhao et al. 10.5194/hess-28-3597-2024
- Augmenting the National agroecosystem model with physically based spatially distributed groundwater modeling R. Bailey et al. 10.1016/j.envsoft.2022.105589
- On the Uncertainty Induced by Pedotransfer Functions in Terrestrial Biosphere Modeling A. Paschalis et al. 10.1029/2021WR031871
- Advancing process-based flood frequency analysis for assessing flood hazard and population flood exposure G. Perez et al. 10.1016/j.jhydrol.2024.131620
- Synergy between satellite observations of soil moisture and water storage anomalies for runoff estimation S. Camici et al. 10.5194/gmd-15-6935-2022
- 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
- Remote sensing and hydrogeophysics give a new impetus to integrated hydrological models: A review M. Lubczynski et al. 10.1016/j.jhydrol.2024.130901
Latest update: 20 Nov 2024
Short summary
Modeling the hydrologic cycle at high resolution and at large spatial scales is an incredible opportunity and challenge for hydrologists. In this paper, we present the results of a high-resolution hydrologic simulation configured over the contiguous United States. We discuss simulated water fluxes through groundwater, soil, plants, and over land, and we compare model results to in situ observations and satellite products in order to build confidence and guide future model development.
Modeling the hydrologic cycle at high resolution and at large spatial scales is an incredible...
