Articles | Volume 10, issue 2
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.
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
CORRESPONDING AUTHOR
Pacific Northwest National Laboratory, Richland, WA 99352, USA
Lai-Yung Ruby Leung
Pacific Northwest National Laboratory, Richland, WA 99352, USA
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Cited
15 citations as recorded by crossref.
- Impacts of Subgrid Temperature Distribution Along Elevation Bands in Snowpack Modeling: Insights From a Suite of Andean Catchments O. Murillo et al. 10.1029/2022WR032113
- 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
- Improving snow albedo modeling in the E3SM land model (version 2.0) and assessing its impacts on snow and surface fluxes over the Tibetan Plateau D. Hao et al. 10.5194/gmd-16-75-2023
- Impacts of Sub‐Grid Topographic Representations on Surface Energy Balance and Boundary Conditions in the E3SM Land Model: A Case Study in Sierra Nevada D. Hao et al. 10.1029/2021MS002862
- A Catchment‐Based Hierarchical Spatial Tessellation Approach to a Better Representation of Land Heterogeneity for Hyper‐Resolution Land Surface Modeling L. Huang et al. 10.1029/2021WR031589
- Landscape position strongly affects the resistance and resilience to water deficit anomaly of floodplain vegetation community L. Wen et al. 10.1002/eco.2027
- Effects of complex terrain on the shortwave radiative balance: a sub-grid-scale parameterization for the GFDL Earth System Model version 4.1 E. Zorzetto et al. 10.5194/gmd-16-1937-2023
- A Practical Algorithm for Correcting Topographical Effects on Global GPP Products X. Xie et al. 10.1029/2023JG007553
- Impacts of Topography‐Driven Water Redistribution on Terrestrial Water Storage Change in California Through Ecosystem Responses X. Zhang et al. 10.1029/2023WR035572
- A parameterization of sub-grid topographical effects on solar radiation in the E3SM Land Model (version 1.0): implementation and evaluation over the Tibetan Plateau D. Hao et al. 10.5194/gmd-14-6273-2021
- Modeling Land‐Atmosphere Coupling at Cloud‐Resolving Scale Within the Multiple Atmosphere Multiple Land (MAML) Framework in SP‐E3SM G. Lin et al. 10.1029/2022MS003101
- Quantifying Scaling Effect on Gross Primary Productivity Estimation in the Upscaling Process of Surface Heterogeneity X. Xie et al. 10.1029/2021JG006775
- Spatial heterogeneity effects on land surface modeling of water and energy partitioning L. Li et al. 10.5194/gmd-15-5489-2022
15 citations as recorded by crossref.
- Impacts of Subgrid Temperature Distribution Along Elevation Bands in Snowpack Modeling: Insights From a Suite of Andean Catchments O. Murillo et al. 10.1029/2022WR032113
- 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
- Improving snow albedo modeling in the E3SM land model (version 2.0) and assessing its impacts on snow and surface fluxes over the Tibetan Plateau D. Hao et al. 10.5194/gmd-16-75-2023
- Impacts of Sub‐Grid Topographic Representations on Surface Energy Balance and Boundary Conditions in the E3SM Land Model: A Case Study in Sierra Nevada D. Hao et al. 10.1029/2021MS002862
- A Catchment‐Based Hierarchical Spatial Tessellation Approach to a Better Representation of Land Heterogeneity for Hyper‐Resolution Land Surface Modeling L. Huang et al. 10.1029/2021WR031589
- Landscape position strongly affects the resistance and resilience to water deficit anomaly of floodplain vegetation community L. Wen et al. 10.1002/eco.2027
- Effects of complex terrain on the shortwave radiative balance: a sub-grid-scale parameterization for the GFDL Earth System Model version 4.1 E. Zorzetto et al. 10.5194/gmd-16-1937-2023
- A Practical Algorithm for Correcting Topographical Effects on Global GPP Products X. Xie et al. 10.1029/2023JG007553
- Impacts of Topography‐Driven Water Redistribution on Terrestrial Water Storage Change in California Through Ecosystem Responses X. Zhang et al. 10.1029/2023WR035572
- A parameterization of sub-grid topographical effects on solar radiation in the E3SM Land Model (version 1.0): implementation and evaluation over the Tibetan Plateau D. Hao et al. 10.5194/gmd-14-6273-2021
- Modeling Land‐Atmosphere Coupling at Cloud‐Resolving Scale Within the Multiple Atmosphere Multiple Land (MAML) Framework in SP‐E3SM G. Lin et al. 10.1029/2022MS003101
- Quantifying Scaling Effect on Gross Primary Productivity Estimation in the Upscaling Process of Surface Heterogeneity X. Xie et al. 10.1029/2021JG006775
- Spatial heterogeneity effects on land surface modeling of water and energy partitioning L. Li et al. 10.5194/gmd-15-5489-2022
Latest update: 19 Apr 2024
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...
