Impact of Cloud Seeding on Simulated Hailstorms and Its Dependence on CAPE, Wind Shear, and Tracking Thresholds
Abstract
This repository contains post-processed data and analysis scripts used to generate the figures presented in the associated manuscript. The data are derived from ensemble simulations performed with the COSMO numerical weather prediction model under CTRL and SEED (AgI) conditions. Due to the large size of the raw COSMO model output, only post-processed NetCDF files required to reproduce the figures are provided. The repository is organized by figure number, with each directory containing the corresponding data files and Python scripts used for the analysis and visualization. The scripts are written in Python and rely on standard scientific libraries (e.g., NumPy, Xarray, Matplotlib). No additional preprocessing steps or external datasets are required beyond the files included in this repository.
Fields of Study & Subjects
Meteorological Phenomena and Simulations
Atmospheric aerosols and clouds
Climate variability and models
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 30 June 2026