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

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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:: Wed Aug 01 00:00:00 EDT 2018

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.

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                    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

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                    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

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@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         = {Wed Aug 01 00:00:00 EDT 2018},

  month        = {Wed Aug 01 00:00:00 EDT 2018}

}

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

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