Remote Approach-8: Using Sciunit in CUAHSI JupyterHub for the reproducibility of SUMMA modeling


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Resource type: Composite Resource
Storage: The size of this resource is 1.3 MB
Created: Nov 16, 2020 at 12:52 a.m.
Last updated: May 28, 2021 at 12:51 a.m.
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Abstract

This HydroShare resource provides the Jupyter Notebooks for the reproducibility of SUMMA modeling using Sciunit in CUAHSI JupyterHub in the manuscript of "Comparing Approaches to Achieve Reproducible Computational Modeling for Hydrological and Environmental Systems" in Environmental Modeling and Software.

To find out the instructions on how to run Jupyter Notebooks, please refer to the README file which is provided in this resource.

Subject Keywords

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Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Aspen stand at Reynolds Mountain East catchment in southwestern Idaho
North Latitude
43.0707°
East Longitude
-116.7495°
South Latitude
43.0630°
West Longitude
-116.7592°

Content

Readme.md

How to run the Jupyter notebooks for the reproducibility of SUMMA modeling

This Readme file provides the users with the step-by-step guide to successfully run the three developed notebooks.
The steps, in the order they need to be taken, are explained in what follows.

STEP 0: Preliminary step

In this step the researchers make sure that they have access to the content files of the resource and required compute platform.
- In order to be able to run the three Jupyter notebooks, researchers need to first have a HydroShare account.
- If the researchers do not have access to CUAHSI JupyterHub (CJH), they need to submit an access request to CUAHSI JupyterHub.

  • To run this notebook:
    1. Click the OpenWith button in the upper-right corner of this HydroShare resource webpage;
    2. Select "CUAHSI JupyterHub";
    3. Open the notebook and follow instructions;

STEP 1: Execute 'Quantitative_Performance_Test_Computational_Time_of_SUMMA_Simulation_and_Reproducibility_of_Figure_7_and_8_of_Clark_et_al_2015b_using_Sciunit.ipynb' in CJH

In this step, first, users run the notebook for SUMMA simulation. Then users can create Sciunit Container for quantitative performance test of computational time and reprouduce figure 7 and 8 in Clark et al.,(2015b) using Sciunit in CJH.

STEP 2: Execute 'Quantitative_Performance_Test_Computational_Time_of_SUMMA_Simulation_and_Reproducibility_of_Figure_9_of_Clark_et_al_2015b_using_Sciunit.ipynb' in CJH

In this step, users run the notebook for SUMMA simulation. Then users can create Sciunit Container for quantitative performance test of computational time and reprouduce figure 9 in Clark et al.,(2015b) using Sciunit in CJH.

References

This resource belongs to the following collections:
Title Owners Sharing Status My Permission
Comparing Approaches to Achieve Reproducible Computational Modeling for Hydrological and Environmental Systems Young-Don Choi · Binata Roy · Iman Maghami  Public &  Shareable Open Access

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation EarthCube Data Capabilities: Collaborative Research: Integration of Reproducibility into Community CyberInfrastructure ICER-1928369, ICER-1928315

How to Cite

Choi, Y. (2021). Remote Approach-8: Using Sciunit in CUAHSI JupyterHub for the reproducibility of SUMMA modeling, HydroShare, http://www.hydroshare.org/resource/43990bf0b2c44b96bb7ed5b233408404

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

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

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