https://github.com/kmarkert/servir-vic-training

Training materials for the VIC hydrologic model setup developed for the @SERVIR program
https://github.com/kmarkert/servir-vic-training

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Training materials for the VIC hydrologic model setup developed for the @SERVIR program

• Host: GitHub
• URL: https://github.com/kmarkert/servir-vic-training
• Owner: KMarkert
• License: gpl-3.0
• Created: 2017-03-03T13:14:23.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2020-03-25T15:08:44.000Z (almost 5 years ago)
• Last Synced: 2024-06-13T14:50:03.870Z (7 months ago)
• Language: Python
• Homepage:
• Size: 81 MB
• Stars: 36
• Watchers: 12
• Forks: 32
• Open Issues: 16
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# servir-vic-training

---

🚨 WARNING: This respository will be archieved starting 30 April 2020 meaning support for scripts will be limited. Development for hydrologic modeling will be provided through the [hydrate](https://github.com/kmarkert/hydrate) package. 🚨

---

This repository contains training material (presentations and tutorials) and processing scripts and test data on how to setup the Variable Infiltration Capacity (VIC) hydrologic model.

The training setup model is for the Nyando River Basin in eastern Kenya. The Nyando Basin is a small watershed that drains into the Winam Gulf of northeastern Lake Victoria.

This training was created as a NASA capacity building effort through the NASA SERVIR Science Coordination Office (www.servirglobal.net) for the SERVIR-Eastern & Southern Africa partnering institution, the Regional Center for Mapping of Resources for Development (RCMRD, http://www.rcmrd.org/)

Please contant me at [email protected] if you have any questions regarding the use of training materials or processing scripts.

## REQUIREMETS:

- The training requires a Linux operation system to run the VIC model. The training materials have been tested on Ubuntu 14 and Ubuntu 16 operating systems.

- The Python and other processing scripts require specific software and Python packages to be installed on the system for the training to work. If you are going to use the training materials and Python scripts please follow the instructions within the installation guide (servir-vic-training/documents/software_installation.pdf)

The training was conducted within a Virtual Machine (https://goo.gl/DiQr7w) using the Oracle VirtualBox software. If you want to setup the VIC model and walk through the training on your local linux installation, please see the installation guide materials referenced in the requirements section.

## CONTENTS:

- data/ contains the test data for the Nyando Basin model test case

- document/ contains training materials including presentations and processing work flow

- scripts/ processing scripts that are used to setup the VIC model

## CONTRIBUTING:

If you have any ideas, just [open an issue][issues] and tell us what you think.

If you'd like to contribute, please fork the repository and make changes as

you'd like. Pull requests are welcome.

## DISCLAIMERS:

This is a work-in-progress. The scripts are offered as-is, although we will make every effort to test

and fix any issues, we can't guarantee that these will be fit for your purpose.