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Observation and Forecast","monthly_downloads":1288,"total_dependent_repos":3,"total_dependent_packages":1,"readme":"# rdwd\n\u003cimg src=\"https://github.com/brry/rdwd/raw/master/misc/hex/hex.png\" width=\"104\" height=\"120\"\u003e\n\n`rdwd` is an [R](https://www.r-project.org/) package to select, download and read climate data from the \nGerman Weather Service (Deutscher Wetterdienst, DWD).  \nThe DWD provides thousands of datasets with weather observations online at \n[opendata.dwd.de](https://opendata.dwd.de/climate_environment/CDC/observations_germany/climate/).  \nSince May 2019, `rdwd` also supports reading the Radolan (binary) raster data at \n[grids_germany](https://opendata.dwd.de/climate_environment/CDC/grids_germany/).\n\n`rdwd` is available on CRAN:\n\u003c!-- badges: start --\u003e\n[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version-last-release/rdwd)](https://cran.r-project.org/package=rdwd) \n[![downloads](https://cranlogs.r-pkg.org/badges/rdwd)](https://www.r-pkg.org/services)\n[![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://lifecycle.r-lib.org/articles/stages.html#stable)\n\u003c!-- badges: end --\u003e\n\n\nIt has been presented at [FOSDEM 2017](https://archive.fosdem.org/2017/schedule/event/geo_weather/)\nand [UseR!2017](https://user2017.sched.com/event/Axr3/rdwd-manage-german-weather-observations) in Brussels and with a 5 Minute [video](https://youtu.be/KOYZPMMgiHo?t=233) at [e-Rum2020](https://milano-r.github.io/erum2020program/lightning-talks.html#rdwd-r-interface-to-german-weather-service-data),\nfeatured in Rstudio's [data package list](https://rviews.rstudio.com/2017/02/17/january-new-data-packages), \nwritten about in [OSOR](https://interoperable-europe.ec.europa.eu/collection/open-source-observatory-osor/news/study-german-weather-data) and used e.g. for\n[NDR: Starkregen im Norden](https://story.ndr.de/starkregen-im-norden/index.html).\nDevelopment of `rdwd` was triggered 2016 by flash flood research in Braunsbach \n([1](https://www.uni-potsdam.de/en/natriskchange/qualification-program/task-force-braunsbach-flash-flood-2016), [2](https://doi.org/10.1016/j.scitotenv.2018.02.241),\n[3](https://doi.org/10.5675/HyWa_2017,3_1),\n[4](https://publishup.uni-potsdam.de/frontdoor/index/index/docId/39488)).\n\n\n### Documentation\n\nA website with more information, examples, use cases and an interactive map of the DWD stations\ncan be found at \u003chttps://brry.github.io/rdwd/\u003e\n\n\n### Usage\n\nUsage for observational weather data from the measuring stations usually looks something like the following:\n\n```R\n# Download and install (once only):\ninstall.packages(\"rdwd\")\n# update to the most recent fileIndex (ca monthly):\nrdwd::updateRdwd() \n# Load the package into library (needed in every R session):\nlibrary(rdwd)\n\n# select a dataset (e.g. last year's daily climate data from Potsdam city):\nlink \u003c- selectDWD(\"Potsdam\", res=\"daily\", var=\"kl\", per=\"recent\")\n\n# Actually download that dataset, returning the local storage file name:\nfile \u003c- dataDWD(link, read=FALSE)\n# Read the file from the zip folder:\nclim \u003c- readDWD(file, varnames=TRUE) # can happen directly in dataDWD\n\n# Inspect the data.frame:\nstr(clim)\n# Quick time series graphic:\nplotDWD(clim, \"FM.Windgeschwindigkeit\")\n```\n\nFor data interpolated onto a 1 km raster, including radar data up to the last hour,\nsee the corresponding [chapter](https://brry.github.io/rdwd/raster-data.html) on the website.\n\n\n### App\nSince April 2023, there is an [interactive app](https://brry.shinyapps.io/wetter/) to compare weather periods:\n\n\u003cimg src=\"https://github.com/brry/rdwd/raw/master/misc/app.png\" width=\"577\" height=\"415\"\u003e\n\nWith `rdwd::app()`, you can run this locally with cached data, i.e. faster responses.\n\n### New to R\n\nIf you're new to R, these links might help you to get started:\n\n- [install R \u0026 Rstudio](https://brry.github.io/course/install.html)\n- [brief introduction to R](https://github.com/brry/hour)\n- [my free online courses](https://brry.github.io/course/)\n\nback to `rdwd`:\n\n\n### Installation\n\n#### Normal\n```R\ninstall.packages(\"rdwd\")\n```\n\n#### Latest version\n```R\nrdwd::updateRdwd()\n# checks version and (if needed) calls  remotes::install_github(\"brry/rdwd\", build_vignettes=TRUE)\n```\n\n#### Full\nSuggested (not mandatory) dependencies:  \n```R\ninstall.packages(\"rdwd\", dependencies=\"Suggests\") \n```\n\n- `RCurl` for indexFTP and selectDWD(..., current=TRUE)\n- `data.table`, `bit64` for readDWD(..., fread=TRUE)\n- `terra`, `stars`, `R.utils`, `ncdf4`, `dwdradar` for readDWD with gridded data\n- `readr` for readDWD.stand(..., fast=TRUE)\n- `knitr`, `rmarkdown`, `testthat`, `roxygen2`, `devtools`, `remotes`, `XML`, `gsheet` for local testing, development and documentation\n- `leaflet`, `OSMscale` for interactive/static maps, see [rJava installation tips](https://brry.github.io/course/packages.html#rjava-on-windows)\n- `shiny` for the interactive weather comparison app\n\nNote: on Linux (Ubuntu), install `RCurl` via the terminal (CTRL+ALT+T, note lowercase rcurl):\n```\nsudo apt install r-cran-rcurl\n```\n","funding_links":[],"readme_doi_urls":["https://doi.org/10.1016/j.scitotenv.2018.02.241","https://doi.org/10.5675/HyWa_2017,3_1"],"works":{"https://doi.org/10.1016/j.scitotenv.2018.02.241":{"id":"https://openalex.org/W2791166579","doi":"https://doi.org/10.1016/j.scitotenv.2018.02.241","title":"Forensic hydro-meteorological analysis of an extreme flash flood: The 2016-05-29 event in Braunsbach, SW Germany","display_name":"Forensic hydro-meteorological analysis of an extreme flash flood: The 2016-05-29 event in Braunsbach, SW 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