Jupyter Notebooks to demonstrate RHESsys model on Coweeta sub18 in HydroShare

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Created: Mar 18, 2020 at 5:53 a.m.
Last updated: Mar 18, 2020 at 5:53 a.m.
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Hydrologic models are growing in complexity: spatial representations, model coupling, process representations, software structure, etc. New and emerging datasets are growing, supporting even more detailed modeling use cases. This complexity is leading to the reproducibility crisis in hydrologic modeling and analysis. We argue that moving hydrologic modeling to the cloud can help to address this reproducibility crisis.
- We create two notebooks:
1. The first notebook demonstrates the process of collecting and manipulating GIS and Time-series data using GRASS GIS, Python and R to create RHESsys Model input.
2. The second notebook demonstrates the process of model compilation, simulation, and visualization.

- The first notebook includes:
1. Create Project Directory and Download Raw GIS Data from HydroShare
2. Set GRASS Database and GISBASE Environment
3. Preprocessing GIS Data for RHESsys Model using GRASS GIS and R script
4. Preprocess Time series data for RHESsys Model
5. Construct worldfile and flowtable to RHESSys

- The second notebook includes:
1. Download and compile RHESsys Execution file
2. Simulate RHESsys model
3. Plotting RHESsys output

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Related Resources

The content of this resource is derived from http://www.hydroshare.org/resource/20f4a7187e8143f0b1fca6d85181dafe
The content of this resource is derived from http://www.hydroshare.org/resource/1e5b4cc0eef74551ac7631932a2c039c

How to Cite

CHOI, Y. (2020). Jupyter Notebooks to demonstrate RHESsys model on Coweeta sub18 in HydroShare, HydroShare, http://www.hydroshare.org/resource/f021e36f9a774e78b5d52926cb2502d7

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



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