README.md

In brry/rfs: Rhine Flood Seasonality Analysis

rfs

Rhine Flood Seasonality PhD project by Berry Boessenkool, [e-mail].

Flood regimes along the Rhine river appear to be changing. In the last decades, some snow-melt dominated floods have occured relatively early in the year, for example in the Pentecost flood in 1999. In tributary rivers where floods mostly stem from long rainfall events, streamflow levels seem to be increasing. If these trends continue into the future, there may be a temporal overlap in snow and rain floods, which may bring larger floods than ever in the middle Rhine, where both regimes mix.

This repository stores the code used for analyzing streamflow data with regard to the hypothesis outlined above. The current status

install

The code comes in a standard R package.

On Linux, you may first need to manually install fftw3 for the fftw package in the terminal:

sudo apt-get install fftw3 fftw3-dev pkg-config

For the actual installation of rfs, use (within R):

install.packages("berryFunctions")
berryFunctions::instGit("brry/berryFunctions")
berryFunctions::instGit("brry/rfs")
library(rfs)
?rfs

use

To be expanded soon

science

Here's the project layout, for which I won a poster prize. The first results were presented at EGU 2017. The current method is presented for interactive analysis. This app can also be run offline after installing this package (see above) with

library(rfs)
rfsApp()

The source code for the app is available within the package as well (in the inst/shinyapp/ folder).

brry/rfs documentation built on May 24, 2019, 3:05 a.m.