Approximated UTCI

In the repository you can find a variety of data and scripts to approximate the UTCI in southern South America and apply it to forecasts generated by data-driven models:
1) UTCI data from ERA5-HEAT and different meteorological variables from ERA5.
2) LightGBM models trained to estimate the UTCI from different predictors.
3) Two examples sripts to train the LGBM models
4) Scripts for metric estimation on the test sample of different LightGBM-based models with different predictors.
5) Forecasts of the traditional GFS model, and data-driven models during a heat wave in central Argentina during March 2023.
6) Scripts to apply the UTCI approach on the forecasts mentioned in the previous item.

This material is related to the article "Forecasting Heat Stress in southern South America from data-driven model outputs"