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EarthCube2020: An Approach for Open and Reproducible Environmental Modeling


An older version of this resource http://www.hydroshare.org/resource/75f31565dbd24c198450b9d37c6fcf74 is available.
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Created: Jan 12, 2021 at 7:39 p.m.
Last updated: Mar 25, 2022 at 9:33 p.m.
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Abstract

This is a HydroShare resource to demonstrate an approach for open and reproducible Environmental Environmental Modeling during EarthCube2020 meeting (https://www.earthcube.org/EC2020)

You can start a Jupyter notebook ("First_NB_An_Approach_for_Open_Reproducible_Environmental_Modeling.ipynb") using "CyberGIS-Jupyter for water" on "Open with ..." Button.
Through the 1st notebook demonstration, you can experience open and reproducible environmental modeling using three main components which are online repository (HydroShare), computational environment (CyberGIS-Jupyter for water), and model API(pySUMMA).
Also, you will create a Sciunit container to encapsulate every dependency for SUMMA execution in CybeGIS-Jupyter into the Sciunit container.

Then you can move to the 2nd notebook (Second_NB_An_Approach_for_Open_Reproducible_Environmental_Modeling.ipynb) to evaluate reproducibility and replicability of the SUMMA Sciunit container in different cyberinfrastructure (CUAHSI JupyterHub).

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Content

Related Resources

The content of this resource references Clark, M. P., B. Nijssen, J. D. Lundquist, D. Kavetski, D. E. Rupp, R. A. Woods, J. E. Freer, E. D. Gutmann, A. W. Wood, D. J. Gochis, R. M. Rasmussen, D. G. Tarboton, V. Mahat, G. N. Flerchinger, D. G. Marks, 2015b: A unified approach for process-based hydrologic modeling: Part 2. Model implementation and case studies. Water Resources Research, http://doi.org/10.1002/2015WR017200.
The content of this resource references Clark, M. P., B. Nijssen, J. D. Lundquist, D. Kavetski, D. E. Rupp, R. A. Woods, J. E. Freer, E. D. Gutmann, A. W. Wood, L. D. Brekke, J. R. Arnold, D. J. Gochis, R. M. Rasmussen, 2015a: A unified approach for process-based hydrologic modeling: Part 1. Modeling concept. Water Resources Research, http://doi.org/10.1002/2015WR017198.
The content of this resource is derived from http://www.hydroshare.org/resource/75f31565dbd24c198450b9d37c6fcf74
This resource updates and replaces a previous version Choi, Y., J. Goodall, J. Sadler, A. M. Castronova, A. Bennett, T. Malik, B. Nijssen, Z. Li, S. Wang, M. Clark, D. Tarboton, M. Deeds (2022). EarthCube2020: An Approach for Open and Reproducible Environmental Modeling, HydroShare, http://www.hydroshare.org/resource/75f31565dbd24c198450b9d37c6fcf74

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation EarthCube Building Blocks: Collaborative Proposal: GeoTrust: Improving Sharing and Reproducibility of Geoscience Applications ICER-1639655, ICER-1639759, ICER-1639696
National Science Foundation Collaborative Research: SI2-SSI: Cyberinfrastructure for Advancing Hydrologic Knowledge through Collaborative Integration of Data Science, Modeling and Analysis OAC-1664061, OAC-1664018, OAC-1664119

How to Cite

Choi, Y., J. Goodall, J. Sadler, A. M. Castronova, A. Bennett, T. Malik, B. Nijssen, Z. Li, S. Wang, M. Clark, D. Tarboton, M. Deeds (2022). EarthCube2020: An Approach for Open and Reproducible Environmental Modeling, HydroShare, http://www.hydroshare.org/resource/28e3bb9c42ec4fca9b841afbfa660764

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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