DanubeVienna

A time series of simulated river discharge of the Danube river in Vienna
(longitude = 16.64 \ latitude = 48.13) from 1951 to 2020.
Time series extracted from the HERA dataset:
https://data.jrc.ec.europa.eu/dataset/a605a675-9444-4017-8b34-d66be5b18c95.
The Danube is the longest river in the EU and is an important waterway for
international trade, connecting several countries in Central and Eastern Europe.

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

DanubeVienna 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>

DanubeVienna: Simulated river discharge of the Danube river at Vienna

Description

Usage

Arguments

Format