This repository is dedicated to the assessment of climate forecast skill of multi-model ensembles, such as the Heidke Skill Score (HSS). The HSS is a metric used to evaluate the accuracy of categorical forecasts, making it particularly relevant for assessing the performance of climate models in predicting categorical outcomes.
Multi-Model Ensemble Evaluation: Evaluate the skill of climate forecasts by considering the predictions from multiple models and for multiple initializations.
Heidke Skill Score Calculation: Implement the computation of Heidke Skill Scores to quantitatively assess the accuracy of categorical forecasts.
Spatial Analysis: Perform spatial analyses to assess forecast skills across different regions.
Scripts were written with the ".Rmd" extension, so make sure to change back the ".R" file into ".Rmd" for better readability and flawless execution.