Lawrence Band

University of Virginia | Professor

Subject Areas: Hydrology, biogeoscience, GIS

 Recent Activity

ABSTRACT:

This HydroShare resource provides the Jupyter Notebooks for RHESSys modeling workflow using the HydroShare model instance at Coweeta subbasin18, NC

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

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ABSTRACT:

This HydroShare resource provides the Jupyter Notebooks for RHESSys End-to-End modeling workflow using the GeoServer approach at Scotts Level Branch, Maryland

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

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ABSTRACT:

This HydroShare resource provides the Jupyter Notebooks for RHESSys End-to-End modeling workflow using the GeoServer approach at Spout Run, VA

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

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ABSTRACT:

This HydroShare resource provides the Jupyter Notebooks created for the study "An Approach for Creating Immutable and Interoperable End-to-End Hydrological Modeling Computational Workflows" led by researcher Young-Don Choi submitted to the 2021 EarthCube Annual meeting, Notebook Sessions.

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

For the sake of completeness, the abstract for the study submitted to the EarthCube session is mentioned below:

"Reproducibility is a fundamental requirement to advance science. Creating reproducible hydrological models that include all required data, software, and workflows, however, is often burdensome and requires significant work. Computational hydrology is a rapidly advancing field with fast-evolving technologies to support increasingly complex computational hydrologic modeling. The growing model complexity in terms of variety of software and cyberinfrastructure capabilities makes achieving computational reproducibility extremely challenging. Through recent reproducibility research, there have been efforts to integrate three components: 1) (meta)data, 2) computational environments, and 3) workflows. However, each component is still separate, and researchers must interoperate between these three components. These separations make verifying end-to-end reproducibility challenging. Sciunit was developed to assist scientists, who are not programming experts, with encapsulating these three components into a container to enable reproducibility in an immutable form. However, there were still limitations to support interoperable computational environments and apply end-to-end solutions, which are an ultimate goal of reproducible hydrological modeling. Therefore, the objective of this research is to advance the existing Sciunit capabilities to not only support immutable, but also interoperable computational environments and apply an end-to-end modeling workflow using the Regional Hydro-Ecologic Simulation System (RHESSys) hydrologic model as an example. First, we create an end-to-end workflow for RHESSys using pyRHESSys on the CyberGIS-Jupyter for Water platform. Second, we encapsulate the aforementioned three components and create configurations that include lists of encapsulated dependencies using Sciunit. Third, we create two HydroShare resources, one for immutable reproducibility evaluation using Sciunit and the other for interoperable reproducibility evaluation using library configurations created by Sciunit. Finally, we evaluate the reproducibility of Sciunit in MyBinder, which is a different computational environment, using these two resources. This research presents a detailed example of a user-centric case study demonstrating the application of an open and interoperable containerization approach from a hydrologic modeler’s perspective."

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ABSTRACT:

RHESSys notebooks for Spout run simulation

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Resources
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Composite Resource 0
Generic 0
Geographic Feature 0
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HIS Referenced Time Series 0
Model Instance 0
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MODFLOW Model Instance Resource 0
Multidimensional (NetCDF) 0
Script Resource 0
SWAT Model Instance 0
Time Series 0
Web App 0
Composite Resource Composite Resource
RHESSys model Coweeta 18 local parameters
Created: Nov. 12, 2018, 5:29 p.m.
Authors: Lawrence Band

ABSTRACT:

This is a full RHESSys model and supporting files for simulating coupled water, carbon and nitrogen cycling in watershed 18 in the Coweeta Hydrologic Laboratory in North Carolina. The tar file should be uncompressed which will produce source code that should be compiled, world, flow table, climate driver, and temporal event control files. The model uses ecophysiological parameter values derived from on site measurements by a set of researchers at Coweeta, and remotely sensed LAI.

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Composite Resource Composite Resource

ABSTRACT:

Notebook Tutorials for RHESSys Modeling using pyRHESSys: Watts Branch example

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Composite Resource Composite Resource
RHESSys notebooks for Spout run simulation
Created: March 19, 2021, 8:42 p.m.
Authors: Choi, Young-Don

ABSTRACT:

RHESSys notebooks for Spout run simulation

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Composite Resource Composite Resource

ABSTRACT:

This HydroShare resource provides the Jupyter Notebooks created for the study "An Approach for Creating Immutable and Interoperable End-to-End Hydrological Modeling Computational Workflows" led by researcher Young-Don Choi submitted to the 2021 EarthCube Annual meeting, Notebook Sessions.

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

For the sake of completeness, the abstract for the study submitted to the EarthCube session is mentioned below:

"Reproducibility is a fundamental requirement to advance science. Creating reproducible hydrological models that include all required data, software, and workflows, however, is often burdensome and requires significant work. Computational hydrology is a rapidly advancing field with fast-evolving technologies to support increasingly complex computational hydrologic modeling. The growing model complexity in terms of variety of software and cyberinfrastructure capabilities makes achieving computational reproducibility extremely challenging. Through recent reproducibility research, there have been efforts to integrate three components: 1) (meta)data, 2) computational environments, and 3) workflows. However, each component is still separate, and researchers must interoperate between these three components. These separations make verifying end-to-end reproducibility challenging. Sciunit was developed to assist scientists, who are not programming experts, with encapsulating these three components into a container to enable reproducibility in an immutable form. However, there were still limitations to support interoperable computational environments and apply end-to-end solutions, which are an ultimate goal of reproducible hydrological modeling. Therefore, the objective of this research is to advance the existing Sciunit capabilities to not only support immutable, but also interoperable computational environments and apply an end-to-end modeling workflow using the Regional Hydro-Ecologic Simulation System (RHESSys) hydrologic model as an example. First, we create an end-to-end workflow for RHESSys using pyRHESSys on the CyberGIS-Jupyter for Water platform. Second, we encapsulate the aforementioned three components and create configurations that include lists of encapsulated dependencies using Sciunit. Third, we create two HydroShare resources, one for immutable reproducibility evaluation using Sciunit and the other for interoperable reproducibility evaluation using library configurations created by Sciunit. Finally, we evaluate the reproducibility of Sciunit in MyBinder, which is a different computational environment, using these two resources. This research presents a detailed example of a user-centric case study demonstrating the application of an open and interoperable containerization approach from a hydrologic modeler’s perspective."

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Composite Resource Composite Resource
End-to-End RHESSys Notebooks at Spout Run Virginia
Created: May 13, 2021, 10:47 p.m.
Authors: Choi, Young-Don

ABSTRACT:

This HydroShare resource provides the Jupyter Notebooks for RHESSys End-to-End modeling workflow using the GeoServer approach at Spout Run, VA

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

Show More
Composite Resource Composite Resource

ABSTRACT:

This HydroShare resource provides the Jupyter Notebooks for RHESSys End-to-End modeling workflow using the GeoServer approach at Scotts Level Branch, Maryland

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

Show More
Composite Resource Composite Resource

ABSTRACT:

This HydroShare resource provides the Jupyter Notebooks for RHESSys modeling workflow using the HydroShare model instance at Coweeta subbasin18, NC

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

Show More