easyclimate 
Easy access to high-resolution daily climate data for Europe
Get high-resolution (1 km) daily climate data (precipitation, minimum and maximum temperatures) for Europe from the European climatic database hosted at University of Natural Resources and Life Sciences, Vienna, Austria. Data are currently available from 1950 to 2020.
This climatic dataset was originally built by A. Moreno & H. Hasenauer and further developed by W. Rammer, C. Pucher & M. Neumann (see this document for more details on the development and characteristics of the climatic dataset).
In this R package we implemented Cloud-Optimised Geotiffs so that we can obtain daily climate data for thousands of sites/days within minutes, without having to download huge rasters. But if you need to obtain data for large areas, please download the rasters from the FTP server (ftp://palantir.boku.ac.at/Public/ClimateData/) and extract the values locally rather than using this package, so as not to saturate the file server. For that, you may use a FTP client such as FileZilla.
Installation
# install.packages("remotes")
remotes::install_github("VeruGHub/easyclimate")Examples
To obtain a data frame of daily climatic values for point coordinates:
library(easyclimate)
coords <- matrix(c(-5.36, 37.40), ncol = 2)
prec <- get_daily_climate(coords,
period = "2001-01-01:2001-01-03",
climatic_var = "Prcp")| ID_coords | x | y | date | Prcp |
|---|---|---|---|---|
| 1 | -5.36 | 37.4 | 2001-01-01 | 8.64 |
| 1 | -5.36 | 37.4 | 2001-01-02 | 0.00 |
| 1 | -5.36 | 37.4 | 2001-01-03 | 2.93 |
To obtain a (multi-layer) raster of daily climatic values for an area:
library(terra)
coords_poly <- vect("POLYGON ((-4.5 41, -4.5 40.5, -5 40.5, -5 41))")
ras_tmax <- get_daily_climate(
coords_poly,
period = c("2012-01-01", "2012-08-01"),
climatic_var = "Tmax",
output = "raster" # return raster
)
par(mfrow = c(1, 2))
terra::plot(ras_tmax, 1, col = rev(heat.colors(20)), type = "continuous", smooth = TRUE, range = c(10, 35), legend = FALSE, mar=c(4, 2, 4, 2), main = "January 1 2012")
terra::plot(ras_tmax, 2, col = rev(heat.colors(20)), type = "continuous", smooth = TRUE, range = c(10, 35), mar = c(4, 1, 4, 3), main = "August 1 2012")
Visit the articles of the package website for more extended
tutorials!
CITATION
If you use easyclimate, please cite both the data source and the package as:
Moreno A, Hasenauer H (2016). “Spatial downscaling of European climate data.” International Journal of Climatology, 1444–1458. <URL: https://doi.org/10.1002/joc.4436>.
Rammer W, Pucher C, Neumann M (2018). Description, Evaluation and Validation of Downscaled Daily Climate Data Version 2. <URL: ftp://palantir.boku.ac.at/Public/ClimateData/>.
Cruz-Alonso V, Rodríguez-Sánchez F, Pucher C, Ruiz-Benito P, Astigarraga J, Neumann M, Ratcliffe S (2022). easyclimate: Easy access to high-resolution daily climate data for Europe. <URL: https://github.com/VeruGHub/easyclimate>.