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. 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 variety of files including meshes, input files, and 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", which has been provided in both .docx and .pdf formats. This dataset is a zip file.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological andmore »« less

Authors:

;

Oak Ridge National Laboratory

Publication Date:: Wed Aug 01 04:00:00 UTC 2018

Other Number(s):: https://doi.org/10.5440/1416559; NGA144
ngee_D5D93667EB035B7E2D27F8CBE2A295532018_01_11_160111987

DOE Contract Number:: AC05-00OR22725

Research Org.:: Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)

Sponsoring Org.:: U.S. DOE > Office of Science > Biological and Environmental Research (BER)

Collaborations:: ORNL

Subject:: 54 ENVIRONMENTAL SCIENCES; Barrow, Alaska; Utqiagvik, Alaska; surface flow; surface water

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 04:00:00 UTC 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. 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 variety of files including meshes, input files, and 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", which has been provided in both .docx and .pdf formats. This dataset is a zip file.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).},

  doi          = {10.5440/1416559},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Aug 01 04:00:00 UTC 2018},

  month        = {Wed Aug 01 04:00:00 UTC 2018}

}

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

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