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
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- Flood generation: process patterns from the raindrop to the ocean G. Blöschl 10.5194/hess-26-2469-2022
- Sensitivity of groundwater levels to low-frequency climate variability in a large watershed L. Baulon et al. 10.1016/j.scitotenv.2024.177636
- Global 1 km land surface parameters for kilometer-scale Earth system modeling L. Li et al. 10.5194/essd-16-2007-2024
- A lagrangian particle tracking approach of evapotranspiration partitioning to explore evaporation and transpiration travel time distributions in the root zone N. Bayat-Afshary & M. Danesh-Yazdi 10.1038/s41598-025-89007-y
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- CONCN: a high-resolution, integrated surface water–groundwater ParFlow modeling platform of continental China C. Yang et al. 10.5194/hess-29-2201-2025
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- Subgrid channel formulation in an integrated surface-subsurface hydrologic model A. Peeples & R. Maxwell 10.3389/frwa.2024.1520913
- HERA: a high-resolution pan-European hydrological reanalysis (1951–2020) A. Tilloy et al. 10.5194/essd-17-293-2025
- 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
- Assessing a high-resolution integrated hydrologic model (ParFlow-CLM-HRB) in an endorheic basin of China Z. Lu et al. 10.1016/j.jhydrol.2025.133579
- 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
- A first attempt to model global hydrology at hyper-resolution B. van Jaarsveld et al. 10.5194/esd-16-29-2025
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- hf_hydrodata: A Python package for accessing hydrologic simulations and observations across the United States A. Defnet et al. 10.21105/joss.06623
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- A decomposition approach to evaluating the local performance of global streamflow reanalysis T. Zhao et al. 10.5194/hess-28-3597-2024
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Latest update: 30 May 2025
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...
