coastal_RI_submit.ipynb: The main script that processes data and makes plots.
ibtracs.ALL.list.v04r00.csv: The original IBTrACS data retrieved from https://www.ncei.noaa.gov/data/international-best-track-archive-for-climate-stewardship-ibtracs/v04r00/access/csv/ibtracs.ALL.list.v04r00.csv on 27, Jan, 2021.
HadISST_sst_60s_75n.nc: The global SST data covering 60 South to 75 North, which was derived from https://www.metoffice.gov.uk/hadobs/hadisst/data/HadISST_sst.nc.gz on 17, Feb, 2021.
nino34.long.anom.data: Nino 3.4 nidex downloaded from https://psl.noaa.gov/gcos_wgsp/Timeseries/Data/nino34.long.anom.data on 24, Mar, 2022.
pdo.long.data: PDO index downloaded from https://www.ncei.noaa.gov/pub/data/cmb/ersst/v5/index/ersst.v5.pdo.dat on 24, Mar, 2022
lsm_ERA5.grib: Landsea mask of ERA5 dataset with a resolution of 0.25 degree, download from https://cds.climate.copernicus.eu/#!/home on 21, Apr, 2022
rh_600.npz: The monthly mean mid-level (600 hPa) relative humidity derived from ERA5
vws_era5.npz: The monthly mean vertical wind shear (200-850 hPa) derived from ERA5
mpi_era5.npz: The monthly mean maximum potential intentisity (MPI) derived from ERA5
CMIP: The environmental variables simulated by CMIP6
DIST2LAND_05.csv: The distance to the nearest coastline for each 0.5 by 0.5 degree pixel
DIST_2degree.csv: The distance to the nearest coastline for each 2 by 2 degree pixel
nri_ibt_2.npz: The annual counts of RI events for each 2 by 2 degree pixel
vo_min_2.npz: The annual counts of TC activity for each 2 by 2 degree pixel
The csv files can be read using Microsoft Excel, and the ipynb script can be read and excuted using jupyter notebook.