Earth's Future "Quantifying uncertainty in the perceived risk of unprecedented rainfall" – Data and Software
Abstract
This archive contains derived datasets and Python scripts used to reproduce the analyses and figures presented in the manuscript “Quantifying uncertainty in the perceived risk of unprecedented rainfall.” The data include precomputed annual maximum daily rainfall (Rx1d) metrics and event-based daily rainfall and synoptic fields from the Weather@Home regional climate model under a stationary climate (2006–2015). The repository is organized into input data files and code directories for each figure.
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 17 April 2026
- Language
- EN
- Document type
- Dataset