A Subgrid Approach for Modeling Microtopography Effects on Overland Flow: Modeling Archive

Jan, Ahmad; Coon, Ethan; Painter, Scott

doi:10.5440/1416559

Title: A Subgrid Approach for Modeling Microtopography Effects on Overland Flow: Modeling Archive

Dataset
Other Related Research

Abstract

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".

Authors:: Jan, Ahmad; Coon, Ethan; Painter, Scott

Publication Date:: 2018-08-01

Other Number(s):: NGA144
ngee_D5D93667EB035B7E2D27F8CBE2A295532018_01_11_160111987

DOE Contract Number:: DE-AC05-00OR22725

Research Org.:: 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)

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Collaborations:: ORNL

Subject:: 54 Environmental Sciences

Keywords:: surface flow; SURFACE WATER; Barrow, Alaska; Utqiagvik, Alaska

OSTI Identifier:: 1416559

DOI:: https://doi.org/10.5440/1416559

Citation Formats


                    Jan, Ahmad, Coon, Ethan, and Painter, Scott. A Subgrid Approach for Modeling Microtopography Effects on Overland Flow: Modeling Archive.  United States: N. p., 2018. 
        Web.  doi:10.5440/1416559.

Copy to clipboard


                    Jan, Ahmad, Coon, Ethan, & Painter, Scott. A Subgrid Approach for Modeling Microtopography Effects on Overland Flow: Modeling Archive.  United States.  doi:https://doi.org/10.5440/1416559

Copy to clipboard


                    Jan, Ahmad, Coon, Ethan, and Painter, Scott. 2018.  
"A Subgrid Approach for Modeling Microtopography Effects on Overland Flow: Modeling Archive".  United States.  doi:https://doi.org/10.5440/1416559.  https://www.osti.gov/servlets/purl/1416559. Pub date:Wed Aug 01 00:00:00 EDT 2018

Copy to clipboard


                    
@article{osti_1416559,

  title        = {A Subgrid Approach for Modeling Microtopography Effects on Overland Flow: Modeling Archive},

  author       = {Jan, Ahmad and Coon, Ethan and Painter, Scott},

  abstractNote = {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".},

  doi          = {10.5440/1416559},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2018},

  month        = {8}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.5440/1416559

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

A Subgrid Approach for Modeling Microtopography Effects on Overland Flow

Journal Article Jan, Ahmad ; Coon, Ethan T. ; Graham, Jake ; ... - Water Resources Research

Abstract Microtopography, or heterogeneities in the elevation across scales much smaller than the domain of interest, plays a critical role in surface water retention, surface/subsurface interactions, and runoff. Resolving microtopographic influences on flow requires high‐resolution simulations that are computationally demanding even when considering the surface system in isolation and even more so when surface flow is one component in integrated simulations that couple surface flow with unsaturated subsurface flow. There is thus significant motivation for models that allow the effects of subgrid microtopography to be better represented. Subgrid models modify coarsened models to capture the microtopography‐induced nonlinear effects on hydrologicmore »« less
Cited by 16
A Subgrid Approach for Modeling Microtopography Effects on Overland Flow

Journal Article Jan, Ahmad ; Coon, Ethan T. ; Graham, Jake D. ; ... - Water Resources Research

Abstract Microtopography, or heterogeneities in the elevation across scales much smaller than the domain of interest, plays a critical role in surface water retention, surface/subsurface interactions, and runoff. Resolving microtopographic influences on flow requires high‐resolution simulations that are computationally demanding even when considering the surface system in isolation and even more so when surface flow is one component in integrated simulations that couple surface flow with unsaturated subsurface flow. There is thus significant motivation for models that allow the effects of subgrid microtopography to be better represented. Subgrid models modify coarsened models to capture the microtopography‐induced nonlinear effects on hydrologicmore »« less
Cited by 16
SPRUCE Representing Northern Peatland Microtopography and Hydrology within the Community Land Model: Modeling Archive

Dataset Shi, X. ; Thornton, P. E. ; Ricciuto, D. M. ; ...

Here we provide model code, inputs, outputs and evaluation datasets for a new configuration of the Community Land Model (CLM) for SPRUCE, which includes a fully prognostic water table calculation for SPRUCE. Our structural and process changes to CLM focus on modifications needed to represent the hydrologic cycle of bogs environment with perched water tables, as well as distinct hydrologic dynamics and vegetation communities of the raised hummock and sunken hollow microtopography characteristic of SPRUCE and other peatland bogs. The modified model was parameterized and independently evaluated against observations from an ombrotrophic raised-dome bog in northern Minnesota (S1-Bog), the sitemore »« less
Overland flow numerical model prediction, Lower Triangle Region in East River Watershed, Colorado, 3 days

Dataset Özgen-Xian, Ilhan ; Molins, Sergi ; Xu, Zexuan ; ...

This data package contains numerical simulation results of surface flow variables such as flow velocity and water depth in Lower Triangle Region in East River Watershed, Colorado. The surface flow is a consequence of a high intensity rainfall event with a total duration of 3 days, available at a resolution of 10 minutes. The results are computed on triangular multiresolution meshes with resolutions ranging from 10 meter to 80 meter. The data package also contains a simulation on a uniform triangular mesh with a resolution of 10 meter. The simulations consider surface flow only and neglect subsurface flow, infiltration, andmore »« less
Effect of soil property uncertainties on permafrost thaw projections: a calibration-constrained analysis: Modeling Archive

Dataset Harp, Dylan ; Atchley, Adam ; Painter, Scott ; ...

This Modeling Archive is in support of an NGEE Arctic publication available at doi:10.5194/tc-10-341-2016. This dataset contains an ensemble of thermal-hydro soil parameters including porosity, thermal conductivity, thermal conductivity shape parameters, and residual saturation of peat and mineral soil. The ensemble was generated using a Null-Space Monte Carlo analysis of parameter uncertainty based on a calibration to soil temperatures collected at the Barrow Environmental Observatory site by the NGEE team. The micro-topography of ice wedge polygons present at the site is included in the analysis using three 1D column models to represent polygon center, rim and trough features. The Arcticmore »« less

Similar Records