This project aims at computing arctic sea-ice deformations from icetracker data (Sentinel-1 and RCM). Two distinct methods can be used to compute sea-ice deformations.
In this method, data points with X/Y coordinates are processed. After performing a Delaunay triangulation, we compute sea-ice deformations following Bouchat et al. (2020).
Start by cloning the repository:
# Check if your SSH key is configured on GitHub
ssh -T git@github.com
# Clone the project
git clone git@github.com:McGill-sea-ice/ice-tracker-deformations.git
This project uses a conda environment. Start by accessing the project folder:
cd ice-tracker-deformations
Create and activate the project's environment (this installs the dependencies):
conda env create -f environment.yaml
conda activate icetrackdefs
Install the Cartopy shapefiles (this would be done automatically by Cartopy, but the URL hardcoded in the Cartopy version we used to require is out of service):
conda activate icetrackdefs
wget -q https://raw.githubusercontent.com/SciTools/cartopy/master/tools/cartopy_feature_download.py -O $CONDA_PREFIX/bin/cartopy_feature_download.py
python $CONDA_PREFIX/bin/cartopy_feature_download.py physical
In order to generate a data set, the main module must be executed. Assuming we are in the project folder, we can execute the main module using the following commands:
# Activate the virtual environment
conda activate icetrackdefs
# Launch the code
python src/SeaIceDeformation/main.py
# Deactivate the environment when you are done
conda deactivate
The user can configure the deformation calculations by modifying the definitions of the parameters in the configuration file src/SeaIceDeformation/namelist.ini
, and the NetCDF analyses can be configured in src/SatelliteCoverage
. In particular, the output_folder
in the IO
section should be modified to point to a filesystem location where one has write permissions.
The SIDRR.py tool can be used to analyse the data. (McGill-sea-ice/SIDRRpy
in ./data/ run test.sh
It will:
- run
/src/SeaIceDeformation/main.py
with thenamelist.def
settings. - run
/data/report_test.py
A PASS
should be obtained for all the variables
We refer to the manuscript submitted to ESSD (ESSD-2024-227).
The Data is located on crunch, in /storage/common/