Articles | Volume 10, issue 2
Geosci. Model Dev., 10, 873–888, 2017
https://doi.org/10.5194/gmd-10-873-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 10, 873–888, 2017
https://doi.org/10.5194/gmd-10-873-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper 22 Feb 2017
Development and technical paper | 22 Feb 2017
Exploring new topography-based subgrid spatial structures for improving land surface modeling
Teklu K. Tesfa and Lai-Yung Ruby Leung
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Cited
5 citations as recorded by crossref.
- Impact of vegetation dynamics on hydrological processes in a semi-arid basin by using a land surface-hydrology coupled model Y. Jiao et al. 10.1016/j.jhydrol.2017.05.060
- Exploring Topography‐Based Methods for Downscaling Subgrid Precipitation for Use in Earth System Models T. Tesfa et al. 10.1029/2019JD031456
- Application of Machine Learning to Model Wetland Inundation Patterns Across a Large Semiarid Floodplain S. Shaeri Karimi et al. 10.1029/2019WR024884
- Influence of landscape heterogeneity on water available to tropical forests in an Amazonian catchment and implications for modeling drought response Y. Fang et al. 10.1002/2017JD027066
- Landscape position strongly affects the resistance and resilience to water deficit anomaly of floodplain vegetation community L. Wen et al. 10.1002/eco.2027
5 citations as recorded by crossref.
- Impact of vegetation dynamics on hydrological processes in a semi-arid basin by using a land surface-hydrology coupled model Y. Jiao et al. 10.1016/j.jhydrol.2017.05.060
- Exploring Topography‐Based Methods for Downscaling Subgrid Precipitation for Use in Earth System Models T. Tesfa et al. 10.1029/2019JD031456
- Application of Machine Learning to Model Wetland Inundation Patterns Across a Large Semiarid Floodplain S. Shaeri Karimi et al. 10.1029/2019WR024884
- Influence of landscape heterogeneity on water available to tropical forests in an Amazonian catchment and implications for modeling drought response Y. Fang et al. 10.1002/2017JD027066
- Landscape position strongly affects the resistance and resilience to water deficit anomaly of floodplain vegetation community L. Wen et al. 10.1002/eco.2027
Latest update: 22 Jan 2021
Short summary
Motivated by the significant topographic influence on land surface processes, this study explored two methods to discretize watersheds into two types of subgrid structures to capture spatial heterogeneity for land surface models. Adopting geomorphologic concepts in watershed discretization yields improved capability in capturing subgrid topographic heterogeneity, which also allowed climatic and land cover variability to be better represented with a nominal increase in computational requirements.
Motivated by the significant topographic influence on land surface processes, this study...
