Analysing spatial-temporal patterns of convective organisation from 3D data

This repository accompanies the article "A ML-based perspective on deep convective clouds and their organisation in 3D. Part II: Spatial-temporal patterns of convective organisation" by Sarah Brüning and Holger Tost, which is to be submitted to ACP.

It contains the code for identifying spatio-temporal patterns of convective cloud organisation using ML-based 3D radar reflectivities over a region in tropical West Africa (30° N - 30° S, 30° E -  30° W). The code employs contiguous trajectories for convective clouds (Part 1) and quantifies the strength of convective organisation.

The code for predicting 3D radar reflectivities from 2D satellite data using the ML model is available from https://doi.org/10.5281/zen…, the detection of convective cloud trajectories from Detecting ML-based convecti….