Articles | Volume 24, issue 12
https://doi.org/10.5194/hess-24-5953-2020
© 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/hess-24-5953-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Dec 2020
Research article |
| 16 Dec 2020
| 16 Dec 2020
Flexible vector-based spatial configurations in land models
Shervan Gharari
CORRESPONDING AUTHOR
Centre for Hydrology, University of Saskatchewan, Canmore, Alberta, Canada
Martyn P. Clark
Centre for Hydrology, University of Saskatchewan, Canmore, Alberta, Canada
Naoki Mizukami
National Center for Atmospheric Research, Boulder, Colorado, USA
Wouter J. M. Knoben
Centre for Hydrology, University of Saskatchewan, Canmore, Alberta, Canada
Jefferson S. Wong
Global Institute for Water Security, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
Alain Pietroniro
Department of Civil Engineering, University of Calgary, Calgary, Alberta, Canada
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Cited
20 citations as recorded by crossref.
- Shifts in hydroclimatology of US megaregions in response to climate change H. Heidari et al. https://doi.org/10.1088/2515-7620/ac0617
- Calibrating a large-domain land/hydrology process model in the age of AI: the SUMMA CAMELS emulator experiments M. Farahani et al. https://doi.org/10.5194/hess-29-4515-2025
- CREST-VEC: a framework towards more accurate and realistic flood simulation across scales Z. Li et al. https://doi.org/10.5194/gmd-15-6181-2022
- Impact of precipitation on parameter sensitivity and identifiability in the variable infiltration capacity (VIC) model M. Noorbeh et al. https://doi.org/10.1080/02626667.2025.2569674
- Effect of sensitivity analysis on parameter optimization: Case study based on streamflow simulations using the SWAT model in China M. Li et al. https://doi.org/10.1016/j.jhydrol.2021.126896
- Large-sample assessment of varying spatial resolution on the streamflow estimates of the wflow_sbm hydrological model J. Aerts et al. https://doi.org/10.5194/hess-26-4407-2022
- Unpacking dasymetric modelling to correct spatial bias in environmental model outputs M. Kallio et al. https://doi.org/10.1016/j.envsoft.2022.105511
- Intercomparison of global ERA reanalysis products for streamflow simulations at the high-resolution continental scale R. Bain et al. https://doi.org/10.1016/j.jhydrol.2022.128624
- Validation of FABDEM, a global bare-earth elevation model, against UAV-lidar derived elevation in a complex forested mountain catchment C. Marsh et al. https://doi.org/10.1088/2515-7620/acc56d
- Canadian Continental-Scale Hydrology under a Changing Climate: A Review T. Stadnyk & S. Déry https://doi.org/10.3390/w13070906
- VISCOUS: A Variance‐Based Sensitivity Analysis Using Copulas for Efficient Identification of Dominant Hydrological Processes R. Sheikholeslami et al. https://doi.org/10.1029/2020WR028435
- A spatial decision support model for response to climate change based on a literature review N. Hong https://doi.org/10.15531/KSCCR.2024.15.3.385
- Untangling the impacts of land cover representation and resampling in distributed hydrological model predictions D. Kim et al. https://doi.org/10.1016/j.envsoft.2023.105893
- Impacts of Climate Change on Hydroclimatic Conditions of U.S. National Forests and Grasslands H. Heidari et al. https://doi.org/10.3390/f12020139
- Vulnerability to Water Shortage Under Current and Future Water Supply‐Demand Conditions Across U.S. River Basins H. Heidari et al. https://doi.org/10.1029/2021EF002278
- Community Workflows to Advance Reproducibility in Hydrologic Modeling: Separating Model‐Agnostic and Model‐Specific Configuration Steps in Applications of Large‐Domain Hydrologic Models W. Knoben et al. https://doi.org/10.1029/2021WR031753
- Experimental Coupling of TOPMODEL with the National Water Model: Effects of Coupling Interface Complexity on Model Performance D. Kim et al. https://doi.org/10.1111/1752-1688.12953
- BasinMaker 3.0: A GIS toolbox for distributed watershed delineation of complex lake-river routing networks M. Han et al. https://doi.org/10.1016/j.envsoft.2023.105688
- Modeling grassland landscape degradation and policy responses in the Gannan Plateau: a coupled ERI–BRT–ABM framework X. Ma et al. https://doi.org/10.1016/j.ecolind.2026.114766
- Great Lakes Runoff Intercomparison Project Phase 3: Lake Erie (GRIP-E) J. Mai et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0002097
20 citations as recorded by crossref.
- Shifts in hydroclimatology of US megaregions in response to climate change H. Heidari et al. https://doi.org/10.1088/2515-7620/ac0617
- Calibrating a large-domain land/hydrology process model in the age of AI: the SUMMA CAMELS emulator experiments M. Farahani et al. https://doi.org/10.5194/hess-29-4515-2025
- CREST-VEC: a framework towards more accurate and realistic flood simulation across scales Z. Li et al. https://doi.org/10.5194/gmd-15-6181-2022
- Impact of precipitation on parameter sensitivity and identifiability in the variable infiltration capacity (VIC) model M. Noorbeh et al. https://doi.org/10.1080/02626667.2025.2569674
- Effect of sensitivity analysis on parameter optimization: Case study based on streamflow simulations using the SWAT model in China M. Li et al. https://doi.org/10.1016/j.jhydrol.2021.126896
- Large-sample assessment of varying spatial resolution on the streamflow estimates of the wflow_sbm hydrological model J. Aerts et al. https://doi.org/10.5194/hess-26-4407-2022
- Unpacking dasymetric modelling to correct spatial bias in environmental model outputs M. Kallio et al. https://doi.org/10.1016/j.envsoft.2022.105511
- Intercomparison of global ERA reanalysis products for streamflow simulations at the high-resolution continental scale R. Bain et al. https://doi.org/10.1016/j.jhydrol.2022.128624
- Validation of FABDEM, a global bare-earth elevation model, against UAV-lidar derived elevation in a complex forested mountain catchment C. Marsh et al. https://doi.org/10.1088/2515-7620/acc56d
- Canadian Continental-Scale Hydrology under a Changing Climate: A Review T. Stadnyk & S. Déry https://doi.org/10.3390/w13070906
- VISCOUS: A Variance‐Based Sensitivity Analysis Using Copulas for Efficient Identification of Dominant Hydrological Processes R. Sheikholeslami et al. https://doi.org/10.1029/2020WR028435
- A spatial decision support model for response to climate change based on a literature review N. Hong https://doi.org/10.15531/KSCCR.2024.15.3.385
- Untangling the impacts of land cover representation and resampling in distributed hydrological model predictions D. Kim et al. https://doi.org/10.1016/j.envsoft.2023.105893
- Impacts of Climate Change on Hydroclimatic Conditions of U.S. National Forests and Grasslands H. Heidari et al. https://doi.org/10.3390/f12020139
- Vulnerability to Water Shortage Under Current and Future Water Supply‐Demand Conditions Across U.S. River Basins H. Heidari et al. https://doi.org/10.1029/2021EF002278
- Community Workflows to Advance Reproducibility in Hydrologic Modeling: Separating Model‐Agnostic and Model‐Specific Configuration Steps in Applications of Large‐Domain Hydrologic Models W. Knoben et al. https://doi.org/10.1029/2021WR031753
- Experimental Coupling of TOPMODEL with the National Water Model: Effects of Coupling Interface Complexity on Model Performance D. Kim et al. https://doi.org/10.1111/1752-1688.12953
- BasinMaker 3.0: A GIS toolbox for distributed watershed delineation of complex lake-river routing networks M. Han et al. https://doi.org/10.1016/j.envsoft.2023.105688
- Modeling grassland landscape degradation and policy responses in the Gannan Plateau: a coupled ERI–BRT–ABM framework X. Ma et al. https://doi.org/10.1016/j.ecolind.2026.114766
- Great Lakes Runoff Intercomparison Project Phase 3: Lake Erie (GRIP-E) J. Mai et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0002097
Saved (final revised paper)
Latest update: 04 Aug 2026
Short summary
This work explores the trade-off between the accuracy of the representation of geospatial data, such as land cover, soil type, and elevation zones, in a land (surface) model and its performance in the context of modeling. We used a vector-based setup instead of the commonly used grid-based setup to identify this trade-off. We also assessed the often neglected parameter uncertainty and its impact on the land model simulations.
This work explores the trade-off between the accuracy of the representation of geospatial data,...
