CW4Floods

Main repository for challenge 31/2022: Flood forecasting: the power of citizen science

How to contribute

• Clone the repositories
• Create the conda environment from the requirements.txt file using conda create --name CW4F --file requirements.txt
• Activate the conda environment using conda activate CW4F
• Set the data folder structure

  📦CW4F_data
  ┣ 📂efas
  ┃ ┣ 📜efas_2017_2020.grib
  ┣ 📂image
  ┣ 📂plots
  ┣ 📜image.zip
  ┣ shortlisted_stations_v1.csv
  ┗ station_ind_v1.tsv
   

• To make changes
  • Added it in the task for github
  • Link it to an issue
  • Create a branch for the same
  • Make changes to your branch
  • Push your code
• Happy coding!

Cheat sheet

• To generate the requirements.txt conda env export > environment.yaml

BUGS

If you have issue with cfgrib

This might not be required.

• pip uninstall cfgrib
• conda install ecmwflibs
• conda install eccodes==1.3.1
• conda install cfgrib
• conda install -e .

and only this might be required

• conda install -c conda-forge cfgrib

To-DO

• Improve the readme file.

Step by step guide

• Make sure that efas, and the crowd water data is already present in the folder directories mentioned on the top.
• Running the script 3_s_find_efas_id_cw.py would generate station_ind.tsv. This will in default setting have all the station index inside which we have a crowdwater station.