PyWaPOR OpenCourseWare

The instructions provided here will assist you in setting up pyWaPOR for a test case using Colab and to run the test case and investigate the output file.

For running pywapor locally on your laptop, you need to install Python program and install pywapor package in your python environment. This can be done in several ways, however, we recommend you use Mamba package manager, because it is fast, robust, and cross-platform. 

In this tutorial, you will create a Jupyter Notebook to run pyWaPOR for your own case study on your local computer. Similar to the test case, this notebook should contain all the code cells to set up a project, configure the input dataset, set up accounts, download data, run the rootzone soil moisture (SERoot) model and run the ETLook model. However, the difference is you will create and run this notebook on your local computer.

In this tutorial you'll learn to use QGIS to read and visualise NetCDF data as raster or mesh layers. The data for this tutorial can be accessed here

After successfully running pyWaPOR, you will get the result in netCDF file format. You can extract the information you may like to include in a report or a presentation by processing the netCDF outputs. In this tutorial, we will use two python scripts to postprocess the results of the pyWaPOR and to export the data into TIFF files.

Access the data here

For running pywapor locally on your laptop, you need to install Python program and install pywapor package in your python environment. This can be done in several ways, however, we recommend you use Mamba package manager, because it is fast, robust, and cross-platform. 

Once you have python and pywapor installed, you can run pywapor model through Python console (command line interface). However, we recommend you to use Jupyter Lab interface. JupyterLab is a web-based interactive development environment for notebooks, code, and data. It will allows you take notes, interact with you python scripts and save the outputs in digital notebooks.

In this book, we will take you through the steps to install python and python packages on your PC. The instructions are adapted from GISOpenCourseWare 

The instructions provided here will assist you in setting up pyWaPOR for a test case (to ensure the environment and notebook are properly set up) and to run the test case and investigate the output file.