climate-extremes

A reproducible framework for investigating how compound drought–heat extremes influence urban water resilience, integrating climate hazards, hydrological dynamics, and socioeconomic water system responses.

This repository serves as the central hub for all challenge material of the Winter School 2026 on AI for Earth System, Hazards & Climate Extremes. Each challenge is hosted in a dedicated repository within this organization.

Python tools for hydroclimatic trend analysis, spatial aggregation, and climate indices.

Agentic AI workflow for reproducible analysis of climate precipitation extremes using CMIP6 and observational data.

End-to-end Climate Data Pipeline for Impact Assessment

Calibrated GPD tail inference in Python: continuous and grouped fits, profile intervals, permutation trends, Monte Carlo calibration, and multi-source robustness.

Code supporting Deidda et al. (2026), “Europe's transport infrastructure is not ready to face climate change”, Highlight Paper, Natural Hazards and Earth System Sciences.

Reproducible analysis code for straw-return buffering of compound drought-heat yield losses in Chinese maize.

Code for the manuscript "Local Transition Pathways from Tropical Cyclone Forcing to Precipitation and Streamflow Extremes". Current public release includes partial processing workflows and complete figure-generation notebooks.

Google Earth Engine script estimating Net Primary Productivity in Mediterranean open forests using a light-use-efficiency model (MSc thesis).

This is the instruction of how I used ACE2 model in my paper. The main repository for this model is: https://github.com/ai2cm/ace

Climate Change Extremes, Vulnerabity, European Union, R, Python, Economy

Climate data science workflow for heat-wave detection, ERA5–INMET validation, trend analysis and CMIP6 projections in the Brazilian Cerrado.

Urban climate and spatial data science workflow integrating municipal records, extreme precipitation, tree-fall events and socio-spatial vulnerability.

Spatial synchrony at the extremes