These are directions for how monthly EDGAR v8 files can be generated for a
given year. The general process is to download the annual emissions files and
apply the monthly scale factors that are specific to each country/sector/year.
The scale factors are corrected for the fact that there are a different number
of days in each month. The following files are needed:

- environment.yml
- country_codes.csv
- country_mask.csv
- edgar_v8.py

The environment file can be used to create the appropriate environment for 
running the python script, while the two CSV files come from GFEIv2 and are
needed to determine which grid cell belongs to which country in order to apply
the monthly scale factors provided by EDGAR. See comments in the python script
for a more comprehensive description. To run using slurm, use these commands:

year="2022"
dir="/n/holyscratch01/jacob_lab/nbalasus"
sbatch -p huce_cascade -t 0-04:00 --mem 184G -c 22 --wrap "source ~/.bashrc;
conda activate edgar_env; python edgar_v8.py ${year} ${dir}"

-- Nick Balasus (nicholasbalasus@g.harvard.edu), 30 Jan 2024