Extreme Value Analysis (EVA) in Python
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Updated
Feb 22, 2024 - Python
Extreme Value Analysis (EVA) in Python
Acclimate - an agent-based model for economic loss propagation
A repo for "Extreme Precipitation-Temperature Scaling in California: The Role of Atmospheric Rivers"
Website for showing the all codes and methodology to analyze compound extreme events and their socio-economic impacts.
R code and example data to determine temporal shifts in intervals between extreme total annual rainfall
This repository provides a Python implementation of the Gaussian Mixture Model (GMM) algorithm for detecting extreme events in CMIP6 data.
Trends and variability of precipitation extremes in the Peruvian Altiplano (1971–2013)
This repo is the complete workflow for this publication: Tail associations in ecological variables and their impact on extinction risk, Ghosh et al., Ecosphere 11(5):e03132. For details and citation see here:
Identification of compounding drivers of river floods
An explorative interface for spatial extreme events data
A learn module on exposure of land and population to extreme events
A Non-stationary Dependence Model for Extreme European Windstorms
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