Tropical cyclones, heatwaves and extreme droughts are examples of extreme climate events that are difficult to predict. Climate change has increased the likelihood and severity of such events, and predicting
This project provides the dataset employed for the development of a machine learning framework designed to detect and interpret Tropical Cyclone Genesis (TCG) activity across six major tropical ocean basins:
The HadEX-CAM dataset contains four land-based extreme indices (TX90p, TN90p, TX10p, TN10p) for the European region. The original dataset (containing missing values) has been created by the MetOffice by
Bundles of figures showing the extent and location of the atmospheric and oceanic variable clusters for the tropical sub-basins.
North Atlantic -> NA_6clusters.pdf
Northeast Pacific -> NEP_7clusters.pdf
The infilled HadEX-CAM dataset contains four land-based extreme indices (TX90p, TN90p, TX10p, TN10p) for the European region. It contains the original data from the non-infilled HadEX-CAM dataset as well
The original HadEX-CAM dataset contains four land-based extreme indices (TX90p, TN90p, TX10p, TN10p) for the European region. This dataset has been created by the MetOffice by aggregating station data