Articles | Volume 13, issue 7
https://doi.org/10.5194/essd-13-3263-2021
© 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/essd-13-3263-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A national topographic dataset for hydrological modeling over the contiguous United States
Jun Zhang
CORRESPONDING AUTHOR
Department of Hydrology and Atmospheric Sciences, The University of
Arizona, Tucson, AZ, USA
Laura E. Condon
Department of Hydrology and Atmospheric Sciences, The University of
Arizona, Tucson, AZ, USA
Hoang Tran
Department of Civil and Environmental Engineering, Princeton
University, Princeton, NJ, USA
Reed M. Maxwell
Department of Civil and Environmental Engineering, Princeton
University, Princeton, NJ, USA
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Cited
15 citations as recorded by crossref.
- Effects of microtopography on patterns and dynamics of groundwater–surface water interactions Z. Lu & X. Yang 10.1016/j.advwatres.2024.104704
- Improving trans-regional hydrological modelling by combining LSTM with big hydrological data S. Tang et al. 10.1016/j.ejrh.2025.102257
- 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 hydrological simulation dataset of the Upper Colorado River Basin from 1983 to 2019 H. Tran et al. 10.1038/s41597-022-01123-w
- 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
- SubsetTools: A Python package to subset data to build and run ParFlow hydrologic models A. Triplett et al. 10.21105/joss.06752
- Unravelling groundwater–stream connections over the continental United States C. Yang et al. 10.1038/s44221-024-00366-8
- How does the choice of DEMs affect catchment hydrological modeling? D. Moges et al. 10.1016/j.scitotenv.2023.164627
- The Role of Topography in Controlling Evapotranspiration Age C. Yang et al. 10.1029/2023JD039228
- BCUB – a large-sample ungauged basin attribute dataset for British Columbia, Canada D. Kovacek & S. Weijs 10.5194/essd-17-259-2025
- GeoAPEX-P, A web-based, spatial modeling tool for pesticide related environmental assessment F. Pan et al. 10.1016/j.envsoft.2023.105747
- CONCN: a high-resolution, integrated surface water–groundwater ParFlow modeling platform of continental China C. Yang et al. 10.5194/hess-29-2201-2025
- Examining the impact of the 2007 Zaca Fire on the long-term hydrological recovery of the Santa Cruz Creek watershed in Southern California A. Walters et al. 10.1016/j.ejrh.2025.102521
- A comparison of National Water Model retrospective analysis snow outputs at snow telemetry sites across the Western United States I. Garousi‐Nejad & D. Tarboton 10.1002/hyp.14469
- Effects of irrigation and canal networks on groundwater–land surface interactions in the middle Heihe River Basin, China Z. Lu et al. 10.1016/j.ejrh.2025.102532
15 citations as recorded by crossref.
- Effects of microtopography on patterns and dynamics of groundwater–surface water interactions Z. Lu & X. Yang 10.1016/j.advwatres.2024.104704
- Improving trans-regional hydrological modelling by combining LSTM with big hydrological data S. Tang et al. 10.1016/j.ejrh.2025.102257
- 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 hydrological simulation dataset of the Upper Colorado River Basin from 1983 to 2019 H. Tran et al. 10.1038/s41597-022-01123-w
- 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
- SubsetTools: A Python package to subset data to build and run ParFlow hydrologic models A. Triplett et al. 10.21105/joss.06752
- Unravelling groundwater–stream connections over the continental United States C. Yang et al. 10.1038/s44221-024-00366-8
- How does the choice of DEMs affect catchment hydrological modeling? D. Moges et al. 10.1016/j.scitotenv.2023.164627
- The Role of Topography in Controlling Evapotranspiration Age C. Yang et al. 10.1029/2023JD039228
- BCUB – a large-sample ungauged basin attribute dataset for British Columbia, Canada D. Kovacek & S. Weijs 10.5194/essd-17-259-2025
- GeoAPEX-P, A web-based, spatial modeling tool for pesticide related environmental assessment F. Pan et al. 10.1016/j.envsoft.2023.105747
- CONCN: a high-resolution, integrated surface water–groundwater ParFlow modeling platform of continental China C. Yang et al. 10.5194/hess-29-2201-2025
- Examining the impact of the 2007 Zaca Fire on the long-term hydrological recovery of the Santa Cruz Creek watershed in Southern California A. Walters et al. 10.1016/j.ejrh.2025.102521
- A comparison of National Water Model retrospective analysis snow outputs at snow telemetry sites across the Western United States I. Garousi‐Nejad & D. Tarboton 10.1002/hyp.14469
- Effects of irrigation and canal networks on groundwater–land surface interactions in the middle Heihe River Basin, China Z. Lu et al. 10.1016/j.ejrh.2025.102532
Latest update: 22 Jun 2025
Short summary
Existing national topographic datasets for the US may not be compatible with gridded hydrologic models. A national topographic dataset developed to support physically based hydrologic models at 1 km and 250 m over the contiguous US is provided. We used a Priority Flood algorithm to ensure hydrologically consistent drainage networks and evaluated the performance with an integrated hydrologic model. Datasets and scripts are available for direct data usage or modification of processing as desired.
Existing national topographic datasets for the US may not be compatible with gridded hydrologic...
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