MEVD-R: Metastatistical Extreme Value Distribution Regional Framework

Estimates of Rare Rainfall Extremes in Ungauged Areas
Pietro Devò, Maria Francesca Caruso, Marco Borga, Marco Marani

Description

This repository contains the code and structure of the MEVD-R (Metastatistical Extreme Value Distribution Regional) framework, developed for estimating extreme rainfall events in ungauged areas.

Documentation is incomplete and in progress.

Structure

The framework follows this directory structure:

📂 MEVD-R/
├── 📂 clusters/      # Cluster analysis outputs
├── 📂 data/          # Output data storage
├── 📂 dictionaries/  # Python dictionaries with parameters and settings
├── 📂 extraction/    # Extracted independent events from raw time series
├── 📂 meta/          # Database of stations and main reference information
├── 📂 modules/       # Python modules specific to the framework
├── 📂 scripts/       # Main analysis scripts
├── 📂 series/        # Raw time series data from various datasets
└── 📂 validation/    # Cross-validation outputs

Dependencies

The framework requires the following Python libraries:

• numpy
• pandas
• scipy

Contact

For any inquiries, please contact the author:
📧 E-MAIL: pietro.devo@dicea.unipd.it
🔗 ORCID: 0009-0005-7860-9910

License & Citation

This code is open-source and can be used, modified, and distributed freely. If you use this framework in your work, please cite the associated paper.

📌 Recommended citation:
Devò, P., Caruso, M. F., Borga, M., & Marani, M. (2024). Estimates of Rare Rainfall Extremes in Ungauged Areas.
DOI: 10.1029/2024GL113576