A Subgrid Approach for Modeling Microtopography Effects on Overland Flow: Modeling Archive
This Modeling Archive is in support of an NGEE Arctic publication available at https://doi.org/10.1029/2017WR021898 A new subgrid model was implemented in the Advanced Terrestrial simulator (ATS) to capture micro-topography effects on surface flow. Model evaluation was performed on disparate landsca...
| Main Authors: | , , |
|---|---|
| Format: | Dataset |
| Language: | English |
| Published: |
Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); NGEE Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
2018
|
| Subjects: | |
| Online Access: | https://dx.doi.org/10.5440/1416559 https://www.osti.gov/servlets/purl/1416559/ |
| Summary: | This Modeling Archive is in support of an NGEE Arctic publication available at https://doi.org/10.1029/2017WR021898 A new subgrid model was implemented in the Advanced Terrestrial simulator (ATS) to capture micro-topography effects on surface flow. Model evaluation was performed on disparate landscapes including: 1) seven individual ice-wedge polygons and a cluster of ice-wedge polygons from Barrow Alaska, 2) hummocky microtopography from Spruce field site in Minnesota, 3) synthetic rills, and 4) synthetic multGaussian realizations. Results of the subgrid model are compared to benchmark (fine-scale) and null hypothesis (model ignoring microtopography). Our finding confirms that the effects of small-scale spatial heterogeneities can be captured in the coarsened models. The dataset contains meshes, input files, subgrid parameters required to run the simulations. Python scripts (jupyter notebooks) for post-processing and files for geometric analyses are also included. More details are provided in file "simulations_info". |
|---|