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era5land-utilities

A set of python script allowing to download, reggrid, aggregate and concatenate ERA5-land data from the CDS

hera

lftp_jrc

send files to jrc jeodpp server via lftp

lisflood-code

Lisflood OS - LISFLOOD

lisflood-meteo-forcing

lisflood-usecases

Lisflood Test Catchments use cases

lisfloodrun_utils

checking outputs of lisflood

lisfloodrunmanager

mobirep

Models the dependence between two variables in the extremes, identifies most relevant models among six models: the conditional extremes model, the Jt-KDE model and four copulae (Gumbel, Galambos, Normal, FGM)

postloss-spattern

Data mining based tool for mapping spatial patterns of forest loss

r4ds

R for data science: a book

rfa_regional_egpdk

Clustering algorithm described in Le Gall et al., 2021, and functions for (semi) regional and local fit of EGPD(kappa, sigma, xi)

si-ch

Set of script for the application of the SI-CH methodogy that identifies spatiotemporal clusters of single and compound climate hazards

tseva

This MATLAB toolbox contains an implementation of the Transformed-Stationary (TS) methodology for non-stationary EVA as described in Mentaschi et al. (2016). In synthesis this approach consists in (i) transforming a non-stationary time series into a stationary one to which the stationary EVA theory can be applied; and (ii) reverse-transforming the result into a non-stationary extreme value distribution. This toolbox is free of external dependencies, and contains calls for both the statistical analysis and the graphical rendering of the results.