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data_UniBremen

Scripts for downloading, opening, read data files from the Universitat Bremen

To build matching environment:

(1) Navigate to folder in terminal and run: conda env create --file=environment.yml

(2) Optional: if running in Jupyter Notebook environment After creating the environment, you will next need to add it to the list of available kernels. This does not happen automatically. In the command line, run: python -m ipykernel install --user --name

  • Make sure to replace with the name of the environment

If conda command not recognized by default with terminal launch: source /opt/anaconda3/bin/activate

(3) Optional, to update environment file after modifying packages: conda env export > environment.yml

coordinates.py

functions to name and open files with coordinates data for different grids https://data.seaice.uni-bremen.de/grid_coordinates/ *** currently only support remote file access ***

SIC.py

functions to open AMSR-based SIC files at various resolutions https://data.seaice.uni-bremen.de/amsr2/asi_daygrid_swath/ *** currently only support remote file access ***

MultiYearIce.py

functions to open MYI concentration files https://data.seaice.uni-bremen.de/MultiYearIce/ *** currently only support remote file access ***