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HS-7. Remote Approach-8: Using Sciunit in CUAHSI JupyterHub for the reproducibility of SUMMA modeling
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This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
Type: | Resource | |
Storage: | The size of this resource is 1.6 MB | |
Created: | Nov 16, 2020 at 12:52 a.m. | |
Last updated: | Mar 22, 2023 at 11:09 p.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
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Views: | 1087 |
Downloads: | 53 |
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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
Coverage
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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:
- Click the OpenWith button in the upper-right corner of this HydroShare resource webpage;
- Select "CUAHSI JupyterHub";
- Select "Summa Testing" in the Server Options;
- 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.
Related Resources
The content of this resource is derived from | http://www.hydroshare.org/resource/83c29513daa74c7e8561732d55819713 |
Title | Owners | Sharing Status | My Permission |
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HS-1. 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 |
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National Science Foundation | EarthCube Data Capabilities: Collaborative Research: Integration of Reproducibility into Community CyberInfrastructure | ICER-1928369, ICER-1928315 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/![CC-BY](https://storage.googleapis.com/hydroshare-prod-static-media/static/img/cc-badges/CC-BY.04d377d96855.png)
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