Global data-driven prediction of fire activity

All files within this directory are used to generate the model/data/plots used in the submissions. Software is available at code ocean https://codeocean.com/capsule/8570224/tree For the generation of the dataframes used for training the various data-driven models we use (Input data not present in this folder are available from ERA5-Land) : #### MAKE_PICKLE_*.py This generates the following pickle files: #### TRAIN_*_10PER_2019_2021.pk1 Once those pickle files are generated the XGBoost models are then trained using : #### TR_*.py This generates the model files, which are then used with the input data to generate ERA5 and forecast data : #### MAKE_GLOBAL_MAPS_ERA5.py The output modelled data are then available as : #### POF_*_ERA5.nc Computation of radar plot scores are made using : #### SCORES_FULL.py Output of statistical analysis are availble as: #### correlation_fwi.pkl #### obs_correlation_fwi.pkl #### *RELIABILITY.pkl #### *RADAR.pkl Region specific observations and forecasts are provided in : #### NEN* #### NWN* For plotting the plots are made using the following scripts : #### FIG_*.ipynb For access to data note present in this capsule please access the ftp site: ftp server: ftp.ecmwf.int username: ecmwf_fire password: FhXekWMuy