MeshMaker: Configurable Meshing Framework for Eco-Hydrology Models

Collier, Nathan; Kumar, Jitendra

doi:10.5440/1237353

Title: MeshMaker: Configurable Meshing Framework for Eco-Hydrology Models

Abstract

MeshMaker is a Python-based framework for generation of high quality structured and unstructured grid computational meshes for Eco-Hydrological models.

Authors:: Collier, Nathan; Kumar, Jitendra

Publication Date:: 2016-03-24

Other Number(s):: NGA035
ngee_AC88D066876A4D98832ACB9BDF75C0BB2016_02_09_161025705

DOE Contract Number:: DE-AC05-00OR22725

Product Type:: Dataset

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)

Subject:: 54 Environmental Sciences

Keywords:: meshing framework; computational meshes for Eco-Hydrological models

OSTI Identifier:: 1237353

DOI:: https://doi.org/10.5440/1237353

Citation Formats


                    Collier, Nathan, and Kumar, Jitendra. MeshMaker: Configurable Meshing Framework for Eco-Hydrology Models.  United States: N. p., 2016. 
        Web.  doi:10.5440/1237353.

Copy to clipboard


                    Collier, Nathan, & Kumar, Jitendra. MeshMaker: Configurable Meshing Framework for Eco-Hydrology Models.  United States.  doi:https://doi.org/10.5440/1237353

Copy to clipboard


                    Collier, Nathan, and Kumar, Jitendra. 2016.  
"MeshMaker: Configurable Meshing Framework for Eco-Hydrology Models".  United States.  doi:https://doi.org/10.5440/1237353.  https://www.osti.gov/servlets/purl/1237353. Pub date:Thu Mar 24 00:00:00 EDT 2016

Copy to clipboard


                    
@article{osti_1237353,

  title        = {MeshMaker: Configurable Meshing Framework for Eco-Hydrology Models},

  author       = {Collier, Nathan and Kumar, Jitendra},

  abstractNote = {MeshMaker is a Python-based framework for generation of high quality structured and unstructured grid computational meshes for Eco-Hydrological models.},

  doi          = {10.5440/1237353},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2016},

  month        = {3}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.5440/1237353

Save / Share:

Export Metadata

Save to My Library

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

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
Evaluating Integrated Surface/Subsurface Permafrost Thermal Hydrology Models in ATS (v0.88) Against Observations from a Polygonal Tundra Site: Modeling Archive

Dataset Jan, Ahmad ; Coon, Ethan ; Painter, Scott

This Modeling Archive supports the NGEE Arctic publication available at (submitted to Geoscientific model development). We evaluated the integrated surface/subsurface permafrost thermal hydrology models in the Advanced Terrestrial Simulator (ATS) against field observations in polygonal tundra at the Barrow Environmental Observatory. We simulated thermal hydrology of three-dimensional ice-wedge polygons with generic but broadly representative surface microtopography. We drove the simulations with meteorological data and observed water table elevations in ice-wedge polygon troughs. With limited calibration of the soil properties and evaporation model parameters, the simulations were found to be consistent with observed water tables, active layer thickness, snowpack depth, evaporation,more »« less
Fallon FORGE: Thermal-Hydrological-Mechanical Models

Dataset Blankenship, Doug ; Sonnenthal, Eric

Archive contains thermal-mechanical simulation input/output files. Included are files which fall into the following categories: ( 1 ) Spreadsheets with various input parameter calculations ( 2 ) Final Simulation Inputs ( 3 ) Native-State Thermal-Hydrological Model Input File Folders ( 4 ) Native-State Thermal-Hydrological-Mechanical Model Input Files ( 5 ) THM Model Stimulation Cases See 'File Descriptions.xlsx' resource below for additional information on individual files.
Hydrologic Model Files (PRMS) for Historical Conditions in the East River Watershed, Colorado between 1987-2019

Dataset Carroll, Rosemary ; Williams, Kenneth ; Gochis, David

The data package contains model input and output file for the East River watershed (85 km2) located in the headwaters of the Colorado River. The model is the U.S. Geological Survey (USGS) Precipitation-Modeling Runoff System (PRMS) for the historical, or baseline, condition (1987-2019) to assess the efficiency of summer monsoon rains to generate streamflow. The finite difference grid resolution is 100 m with elevations resampled from the USGS National Elevation Dataset. LANDFIRE raster data is used to derive parameters of dominant cover type, summer and winter cover density, canopy interception characteristics for snow and rain and transmission coefficient for shortwavemore »« less
Topographical Controls on Hillslope-Scale Hydrology Drive Shrub Distributions on the Seward Peninsula, Alaska: Modeling Archive

Dataset Mekonnen, Zelalem ; Riley, William

The dataset is a model output used in a study that examined the role topography plays in determining shrub expansion by applying a coupled transect version of a mechanistic ecosystem model (ecosys) in a tundra hillslope site in the Seward Peninsula, Alaska. The study highlights the importance of mechanistically representing hillslope-scale coupled surface and sub-surface hydrology to accurately predict current plant distributions and future trajectories in Arctic ecosystems. The dataset contain ecosys model outputs used in a study: Article Title - Topographical Controls on Hillslope-Scale Hydrology Drive Shrub Distributions on the Seward Peninsula, Alaska.

Similar Records