RhoneLyon

A time series of simulated river discharge of the Rhone river close
to its confluence with the Saone (longitude = 4.891 \ latitude = 45.772) from
1951 to 2020. Time series extracted from the HERA dataset:
https://data.jrc.ec.europa.eu/dataset/a605a675-9444-4017-8b34-d66be5b18c95.
The Rhône is France's most powerful river,characterized by a significant
seasonal variation in flow rates. The Rhône River is crucial for
transportation, hydropower generation, and irrigation in the region.

datasets

Adaptation of the 'Matlab' 'tsEVA' toolbox developed by Lorenzo Mentaschi
available here:
<https://github.com/menta78/tsEva>. It contains an implementation of the
Transformed-Stationary (TS) methodology for non-stationary extreme
value Analysis (EVA) as described in Mentaschi et al. (2016) <doi:10.5194/hess-20-3527-2016>.
In synthesis this approach consists in:
(i) transforming a non-stationary time series into a
stationary one to which the stationary extreme value theory can be applied; and
(ii) reverse-transforming the result into a non-stationary extreme
value distribution.
'RtsEva' offers several options for trend estimation (mean, extremes, seasonal)
and contains multiple plotting functions displaying different aspects
of the non-stationarity of extremes.

Alois Tilloy

RtsEva

Performs the Transformed-Stationary Extreme Values Analysis

RhoneLyon function

Two column dataframe:
#'<ul>
<li>time (POSIXct timestamp with 6-hourly resolution)</li>
<li>Q (6-houry mean discharge in cubic meter per second)</li>
</ul>

RhoneLyon: Simulated river discharge of the Rhone river at Lyon

Description

Usage

Arguments

Format