MeshMaker: Configurable Meshing Framework for Eco-Hydrology Models

DOI: 10.5440/1237353
NGEE Arctic Record ID: NGA035

Abstract

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

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).

Dataset Citation

Nathan Collier, Jitendra Kumar. 2016. MeshMaker: Configurable Meshing Framework for Eco-Hydrology Models. Next Generation Ecosystem Experiments Arctic Data Collection, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tennessee, USA. Dataset accessed on [INSERT_DATE] at https://doi.org/10.5440/1237353.

Dates:

-

Geographic Location:

Bounding Coordinates:

N:0.0
S:0.0
E:0.0
W:0.0

Place Keywords:

Subject Keywords:

meshing framework, computational meshes for Eco-Hydrological models,

GCMD Keywords:

GCMD Variables:

Dataset Usage Rights
Public Datasets

This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0.

See the NGEE Arctic Data Policies for more details https://ngee-arctic.ornl.gov/data-policies.