Articles | Volume 7, issue 3
https://doi.org/10.5194/esurf-7-737-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esurf-7-737-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Aug 2019
Research article |
| 22 Aug 2019
| 22 Aug 2019
Computing water flow through complex landscapes – Part 1: Incorporating depressions in flow routing using FlowFill
Department of Earth Sciences, University of Minnesota, Minneapolis, MN, USA
Andrew D. Wickert
Department of Earth Sciences, University of Minnesota, Minneapolis, MN, USA
Saint Anthony Falls Laboratory, University of Minnesota, Minneapolis, MN, USA
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- Intersecting near-real time fluvial and pluvial inundation estimates with sociodemographic vulnerability to quantify a household flood impact index M. Preisser et al. 10.5194/hess-26-3941-2022
- Numerical modeling of groundwater‐driven stream network evolution in low‐relief post‐glacial landscapes C. Cullen et al. 10.1002/esp.5278
- Identification of Playa Lakes and tracking their evolution pathways using geochemical models in the Great Indian Thar desert M. Kumar et al. 10.1016/j.scitotenv.2023.169250
- Impact of geomorphometric parameters on the occurrence and distribution of landslides in Yamuna River Basin, North-Western Himalaya, India R. Shankar et al. 10.1007/s11629-021-7081-z
- Aerial characterization of surface depressions in urban watersheds L. Techapinyawat et al. 10.1016/j.jhydrol.2023.129954
- Computing water flow through complex landscapes – Part 2: Finding hierarchies in depressions and morphological segmentations R. Barnes et al. 10.5194/esurf-8-431-2020
- Drainage integration in extensional tectonic settings P. Larson et al. 10.1016/j.geomorph.2021.108082
- Dynamic Partial Contributing Area (DPCA) approach: Improved hydrologic modeling for depression-dominated watersheds M. Khanaum et al. 10.1016/j.jhydrol.2025.133077
- The Water Table Model (WTM) (v2.0.1): coupled groundwater and dynamic lake modelling K. Callaghan et al. 10.5194/gmd-18-1463-2025
- Computing water flow through complex landscapes – Part 3: Fill–Spill–Merge: flow routing in depression hierarchies R. Barnes et al. 10.5194/esurf-9-105-2021
- CHONK 1.0: landscape evolution framework: cellular automata meets graph theory B. Gailleton et al. 10.5194/gmd-17-71-2024
- Thalweg and Ridge Network Extraction From Unaltered Topographic Data as a Basis for Terrain Partitioning G. Moretti & S. Orlandini 10.1029/2022JF006943
- The hysteretic and gatekeeping depressions model − A new model for variable connected fractions of prairie basins K. Shook & J. Pomeroy 10.1016/j.jhydrol.2025.132821
- Combining geomorphometry, feature extraction techniques and Earth-surface processes research: The way forward G. Sofia 10.1016/j.geomorph.2020.107055
- WDPM: the Wetland DEM Ponding Model K. Shook et al. 10.21105/joss.02276
- Land-surface parameters for spatial predictive mapping and modeling A. Maxwell & C. Shobe 10.1016/j.earscirev.2022.103944
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Short summary
Lakes and swales are real landscape features but are generally treated as data errors when calculating water flow across a surface. This is a problem because depressions can store water and fragment drainage networks. Until now, there has been no good generalized approach to calculate which depressions fill and overflow and which do not. We addressed this problem by simulating runoff flow across a landscape, selectively flooding depressions and more realistically connecting lakes and rivers.
Lakes and swales are real landscape features but are generally treated as data errors when...
