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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 205.6 KB | |
Created: | Mar 25, 2024 at 9:07 a.m. | |
Last updated: | Oct 15, 2024 at 2:21 p.m. (Metadata update) | |
Published date: | Oct 15, 2024 at 2:21 p.m. | |
DOI: | 10.4211/hs.99ac50f1dfa34faf81ab7976e3d8cfda | |
Citation: | See how to cite this resource |
Sharing Status: | Published |
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Views: | 597 |
Downloads: | 81 |
+1 Votes: | Be the first one to this. |
Comments: | No comments (yet) |
Abstract
This HydroShare resource offers Jupyter Notebooks for the RHESSys modeling workflow, employing the conventional, GeoServer and THREDDS approaches across Coweeta Subbasin 18, NC; Spout Run, VA; and Scotts Level Branch, MD. For instructions on running the Jupyter Notebooks, please refer to the provided README file within this resource.
Subject Keywords
Coverage
Spatial
Content
Readme.md
How to run the Jupyter notebooks for RHESSys modeling workflows
- This README file provides users with a detailed step-by-step guide to successfully execute the six developed notebooks.
- Each notebook requires the user to select a study area (Coweeta Subbasin 18, NC; Scotts Level Branch, MD; or Spout Run, VA) and a data access approach (Conventional; GeoServer; or TDS) at the outset. These selections define the project directory housing the RHESSys model input and output specific to the chosen study area and data access approach.
- ATTENTION: Please Cleanup of Previous Files. Currently, some files may be generated outside the designated project directories. To ensure smooth execution when running notebooks for multiple combinations of study areas and data access approaches and avoid any errors, users are advised to delete any extraneous files in the parent directory before proceeding with the workflow for the new study area and/or data access approach. Developers are actively working to resolve this issue by consolidating all generated files within their respective project directories.
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 six Jupyter notebooks, researchers need to first have a HydroShare account.
- If the researchers do not have access to CyberGIS-Jupyter for water (CJW), they need to submit an access request to CyberGIS-Jupyter for water.
- To run this notebook:
- Click the OpenWith button in the upper-right corner of this HydroShare resource webpage;
- Select "CyberGIS-Jupyter for water";
- Open the notebook and follow instructions;
Step 1: Execute 'Step_1_Create_Model_Directory_and_Compile_RHESSys_EC7_2.ipynb' in CJW
This notebook creates model directory and compile RHESSysEC 7.2.
Step 2: Execute 'Step_2_Retrieve_Spatial_Inputs_and_TimeSeries_Data.ipynb' in CJW
This notebook retrieves DEM, NLCD, and SSURGO datasets, and in the cases of GeoServer and TDS data access approaches, subsets them accordingly. Additionally, time series datasets are obtained.
Step 3: Execute 'Step_3_Delineate_Watershed_and_Reclassify_NLCD_and_Soil_Map.ipynb' in CJW
This notebook delineates DEM, extract land cover, and SSURGO map.
Step 4: Execute 'Step_4_Create_Landuse_Fraction_Definition_Flow_and_Worldfiles_Model_Input.ipynb' in CJW
This notebook creates land use fraction, definition, flow, and worldfiles for RHESSys input.
Step 5: Execute 'Step_5_Create_Time_Series_Model_Input.ipynb' in CJW
This notebook creates RHESSys time-series input.
Step 6: Execute 'Step_6_Execute_RHESSys.ipynb' in CJW
This notebook demonstrates how to execute RHESSys and visualizes the output. After this notebook is successfully run, users need to refer to HS 8 for comparative evaluation of data consistency across different data access approaches for the three study areas.
Related Resources
Title | Owners | Sharing Status | My Permission |
---|---|---|---|
(HS 1) Toward Seamless Environmental Modeling: Integration of HydroShare with Server-side Methods for Exposing Large Datasets to Models | Iman Maghami · Linnea Saby · Zhiyu/Drew Li · Young-Don Choi · Jonathan Goodall | Published | Open Access |
COPY FOR ARCHIVING OLD RESOURCES: (HS 1) Toward Seamless Environmental Modeling: Integration of HydroShare with Server-side Methods for Exposing Large Datasets to Models | Iman Maghami | Private & Shareable | None |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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