<<<<<<< HEAD

W3RA Explorer QGIS Plugin

Author: Mehdi S. Joud
Email: mshjo@plan.aau.dk
Version: .01
License: MIT

---

What It Does

The W3RA Explorer plugin helps you explore gridded hydrological data from the W3RA model stored in NetCDF format.

• Load NetCDF datasets of water storage variables (e.g. Sg_EU_2010, Sd_EU_2011, etc.)
• Convert them to shapefile point layers in QGIS
• Click on any point to interactively view time series and anomaly plots
• Apply regression fits: linear, polynomial (dynamic degree), Gaussian smoothing, Fourier
• Identify variables using dropdowns, not raw input
• Export selected points to CSV (only in the complete version) contact the author directly to request access.

---

🛠 Requirements

QGIS ≥ 3.16
Python 3.10+
Python modules used:

• numpy
• matplotlib
• netCDF4
• PyQt5
• geopandas
• shapely
• xarray
• scikit-learn (for regressions)
• pandas

⚠ Make sure the required packages are installed in the QGIS Python environment or use system-level packages via apt.

---

Optional Preprocessing

If you have .mat files from the W3RA model, convert them to NetCDF with the script:

Installation

1. Ensure your system has the following dependencies installed:

2. Open QGIS → Plugins → Manage and Install Plugins → Install from ZIP → Select W3RAExplorer.zip.

3. You’ll find the plugin button in the QGIS toolbar: W3RA Explorer

Tools

This plugin works with NetCDF-formatted W3RA output. To convert W3RA .mat files to NetCDF, use the script provided: tools/W3RA_mat_2netcdf.py python3 tools/W3RA_mat_2netcdf.py --input_dir ... --output_file ...

W3RA Explorer QGIS Plugin

Author: Mehdi S. Joud
Email: mshjo@plan.aau.dk
Version: .01
License: MIT

---

What It Does

The W3RA Explorer plugin helps you explore gridded hydrological data from the W3RA model stored in NetCDF format.

• Load NetCDF datasets of water storage variables (e.g. Sg_EU_2010, Sd_EU_2011, etc.)
• Convert them to shapefile point layers in QGIS
• Click on any point to interactively view time series and anomaly plots
• Apply regression fits: linear, polynomial (dynamic degree), Gaussian smoothing, Fourier
• Identify variables using dropdowns, not raw input
• Export selected points to CSV (only in the complete version) contact the author directly to request access.

---

Requirements

QGIS ≥ 3.16
Python 3.10+
Python modules used:

• numpy
• matplotlib
• netCDF4
• PyQt5
• geopandas
• shapely
• xarray
• scikit-learn (for regressions)
• pandas

⚠ Make sure the required packages are installed in the QGIS Python environment or use system-level packages via apt.

---

Optional Preprocessing

If you have .mat files from the W3RA model, convert them to NetCDF with the script:

Installation

1. Ensure your system has the following dependencies installed:

2. Open QGIS → Plugins → Manage and Install Plugins → Install from ZIP → Select W3RAExplorer.zip.

3. You’ll find the plugin button in the QGIS toolbar: W3RA Explorer

Tools

This plugin works with NetCDF-formatted W3RA output. To convert W3RA .mat files to NetCDF, use the script provided: tools/W3RA_mat_2netcdf.py python3 tools/W3RA_mat_2netcdf.py --input_dir ... --output_file ...

b576423fc0878abc79009209123dc5d51b631b7a