build 2022-05-13 with rdwd version 1.5.30 and dwdradar version 0.2.7
rdwd is an R package to handle data from the German Weather Service (DWD).
This website has 3 main sections:
- time series from meteorological stations (chapters 3-7)
- raster data from radar + interpolation (chapter 8)
- use cases, i.e. extended usage examples (chapter 9-end)
- further details on the data: DWD FTP server documentation
- website source code and files
- feedback is very welcome via github or firstname.lastname@example.org!
The remainder of this intro chapter is a copy of the github README file.
rdwd is an R package to select, download and read climate data from the
German Weather Service (Deutscher Wetterdienst, DWD).
The DWD provides thousands of datasets with weather observations online at opendata.dwd.de.
Since May 2019,
rdwd also supports reading the Radolan (binary) raster data at
It has been presented at FOSDEM 2017
and UseR!2017 in Brussels and with a 5 Minute video at e-Rum2020,
featured in Rstudio’s data package list,
written about in OSOR and used e.g. for
NDR: Starkregen im Norden.
rdwd was triggered 2016 by flash flood research in Braunsbach
- HELP NEEDED - with the new 5-minute data (April 2022), the fileIndex etc are getting very big. - ideas on package size reduction are welcome at https://github.com/brry/rdwd/issues/35
Usage for observational weather data from the measuring stations usually looks something like the following:
# Download and install (once only): install.packages("rdwd") # Load the package into library (needed in every R session): library(rdwd) # select a dataset (e.g. last year's daily climate data from Potsdam city): <- selectDWD("Potsdam", res="daily", var="kl", per="recent") link # Actually download that dataset, returning the local storage file name: <- dataDWD(link, read=FALSE) file # Read the file from the zip folder: <- readDWD(file, varnames=TRUE) clim # Inspect the data.frame: str(clim)
For data interpolated onto a 1 km raster, including radar data up to the last hour, see the corresponding chapter on the website.
If you’re new to R, these links might help you to get started:
::updateRdwd() rdwd# checks version and (if needed) calls remotes::install_github("brry/rdwd", build_vignettes=TRUE)
Suggested (not mandatory) dependencies:
RCurlfor indexFTP and selectDWD(…, current=TRUE)
bit64for readDWD(…, fread=TRUE)
dwdradarfor readDWD with gridded data
readrfor readDWD.stand(…, fast=TRUE)
XMLfor local testing, development and documentation
spfor interactive/static maps, see OSMscale installation tips
Note: on Linux (Ubuntu), install
RCurl via the terminal (CTRL+ALT+T, note lowercase rcurl):
sudo apt install r-cran-rcurl