eco3d

ECO3D: A three-dimensional land surface model

https://github.com/changliao1025/eco3d

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 5 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.4%) to scientific vocabulary

Keywords

3d carbon dissolved-organic-carbon earthscience eco3d hydrology hydrology-modeling

Keywords from Contributors

depression-filling flow-direction flow-routing river-networks terrain-analysis unstructured-meshes visualisation watershed elm rtm
Last synced: 6 months ago · JSON representation ·

Repository

ECO3D: A three-dimensional land surface model

Basic Info
  • Host: GitHub
  • Owner: changliao1025
  • License: other
  • Language: C++
  • Default Branch: master
  • Homepage:
  • Size: 2.48 MB
Statistics
  • Stars: 5
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 2
Topics
3d carbon dissolved-organic-carbon earthscience eco3d hydrology hydrology-modeling
Created over 6 years ago · Last pushed almost 3 years ago
Metadata Files
Readme Changelog Contributing License Citation Authors

README.md

ECO3D

Model: DOI

Data: DOI

ECO3D (ECOsystem 3D): a three-dimensional land surface model.

Documentation: https://eco3d.readthedocs.io/en/latest/

Acknowledgment

This study is supported through projects funded to Qianlai Zhuang by the NASA Land Use and Land Cover Change program (NASA‐NNX09AI26G), Department of Energy (DE‐FG02‐08ER64599), the NSF Division of Information and Intelligent Systems (NSF‐1028291), and a project from the United States Geological Survey focusing on quantification of carbon and methane dynamics in Alaska (G17AC00276). This research was supported in part through computational resources provided by Information Technology (RCAC) and Purdue Climate Change Research Center (PCCRC) at Purdue University.

The first author and L. Ruby Leung were partly supported by the U.S. Department of Energy Office of Science Biological and Environmental Research through the Terrestrial Ecosystem Science program. We also thank USGS Water Mission Area National Research Program for providing the in situ DOC data used in this study. The first author also gratefully thanks the technical support received from USGS PRMS teams. We also appreciate assistance from Willem Schreuder on model calibration. The data used for model simulations are listed in Table 3 and can be obtained through corresponding data sources. All input data and model outputs are archived on the computers at Purdue University Research Repository (PURR) (https://purr.purdue.edu/publications/3339). PNNL is operated for DOE by Battelle Memorial Institute under contract DE‐AC05‐76RL01830.

License

Copyright © 2022, Battelle Memorial Institute

  1. Battelle Memorial Institute (hereinafter Battelle) hereby grants permission to any person or entity lawfully obtaining a copy of this software and associated documentation files (hereinafter “the Software”) to redistribute and use the Software in source and binary forms, with or without modification. Such person or entity may use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and may permit others to do so, subject to the following conditions:
  • Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimers.

  • Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

  • Other than as used herein, neither the name Battelle Memorial Institute or Battelle may be used in any form whatsoever without the express written consent of Battelle.

  1. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL BATTELLE OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

References

There are a number of publications that describe the algorithms used in ECO3D in detail. If you make use of ECO3D in your work, please consider the following references.

Because ECO3D was developed based on PRMS and TEM, and tested at the same study domain in the Tanana Flat, additional references are also recommended.

ECO3D model

  • Liao, Chang. (2022). ECO3D: a three-dimensional land surface model (0.1.22). Zenodo. https://doi.org/10.5281/zenodo.7569559

  • Liao, C. (2017). Three-dimensional water and carbon cycle modeling at high spatial-temporal resolutions (Doctoral dissertation, Purdue University).

Scientific study

  • Liao, C., Zhuang, Q., Leung, L. R., & Guo, L. (2019). Quantifying Dissolved Organic Carbon Dynamics Using a Three‐Dimensional Terrestrial Ecosystem Model at High Spatial‐Temporal Resolutions. Journal of Advances in Modeling Earth Systems, 11(12), 4489-4512.

  • Liao, C., & Zhuang, Q. (2017). Quantifying the role of permafrost distribution in groundwater and surface water interactions using a three-dimensional hydrological model. Arctic, Antarctic, and Alpine Research, 49(1), 81-100.

  • Liao, C., & Zhuang, Q. (2017). Quantifying the role of snowmelt in stream discharge in an Alaskan watershed: an analysis using a spatially distributed surface hydrology model. Journal of Geophysical Research: Earth Surface, 122(11), 2183-2195.

Owner

  • Name: Chang Liao
  • Login: changliao1025
  • Kind: user
  • Location: Richland, WA
  • Company: Pacific Northwest National Laboratory

工欲善其事,必先利其器。

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: Liao
    given-names: Chang
    orcid: https://orcid.org/0000-0002-7348-8858  
 
 
title: "ECO3D: a three-dimensional land surface model"
version: 1.0.0
doi: 10.5281/zenodo.7569559
date-released: 2022-03-31

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Dependencies

.github/workflows/codeql.yml actions
  • actions/checkout v3 composite
  • github/codeql-action/analyze v2 composite
  • github/codeql-action/autobuild v2 composite
  • github/codeql-action/init v2 composite
docs/requirements.txt pypi
  • breathe *