Software for processing low-cost GNSS-IR water level data. This software accompanies the article "Real-time water levels using GNSS-IR: a potential tool for flood monitoring" by Purnell et al. (Geophysical Research Letters).

The script make_gpt.py was taken fron an old version of the repository gnssrefl.

From the command line, clone and cd into the repository root

git clone https://github.com/purnelldj/gnssir-rt.git
cd gnssir-rt

create and install a venv or conda env as preferred and then install the package using

pip install -e .

Below is an example of how to process one day of data from Saint-Joseph-de-la-Rive.

Make a directory called data in the repository root

mkdir data

copy the test data to the data directory

unzip tests/testdata/sjdlr.zip -d data/sjdlr

gnssir site=sjdlr task=arcs2splines

this command should produce the following plot:

gnssir site=[site] task=[task]

• [site] corresponds to a config file: gnssir/configs/site/[site].yaml (either sjdlr or rv3s)
• [task] is one of snr2arcs, arcsplot or arcs2splines You can edit the config files as desired, or create a new one.

SNR data to go with the paper can be found here. It can be downloaded using zenodo_get

zenodo_get 10.5281/zenodo.10114719

Note: this will take a few minutes (~ 1Gb of data)

The SNR data format is similar to this format, but with differences on fourth and fifth columns:

• instead of seconds of day in the fourth column it is GPS time
• the fifth column is L1 SNR (there are only five columns)