Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...

(HS 7) Jupyter Notebook for RHESSys Modeling Workflow: Toward Seamless Environmental Modeling


Authors:
Owners: 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: Apr 09, 2024 at 12:48 p.m.
Citation: See how to cite this resource
Sharing Status: Public
Views: 287
Downloads: 62
+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

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
41.2137°
East Longitude
-73.6827°
South Latitude
32.4359°
West Longitude
-85.1501°

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:
    1. Click the OpenWith button in the upper-right corner of this HydroShare resource webpage;
    2. Select "CyberGIS-Jupyter for water";
    3. 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

This resource belongs to the following collections:
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  Public &  Shareable 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

Maghami, I. (2024). (HS 7) Jupyter Notebook for RHESSys Modeling Workflow: Toward Seamless Environmental Modeling, HydroShare, http://www.hydroshare.org/resource/99ac50f1dfa34faf81ab7976e3d8cfda

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

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

Comments

There are currently no comments

New Comment

required