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This project aims at computing arctic sea ice deformations from icetracker data (Sentinel-1 and RCM).

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Deformations From Sea Ice Tracker Data

Overview

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.

Method M01

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).

Installation

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

Usage

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

Testing procedure

in ./data/ run test.sh

It will:

  • run /src/SeaIceDeformation/main.py with the namelist.def settings.
  • run /data/report_test.py

A PASS should be obtained for all the variables

Documentation

We refer to the manuscript submitted to ESSD (ESSD-2024-227).

Input Data Location

The Data is located on crunch, in /storage/common/

About

This project aims at computing arctic sea ice deformations from icetracker data (Sentinel-1 and RCM).

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