Help for package easyclimate

Title:

Easy Access to High-Resolution Daily Climate Data for Europe

Version:

1.0.0

Description:

Get high-resolution (1 km) daily, monthly and annual climate data (precipitation, and average, minimum and maximum temperatures) for points and polygons within Europe.

License:

GPL (≥ 3)

URL:

https://verughub.github.io/easyclimate/, https://github.com/VeruGHub/easyclimate

BugReports:

https://github.com/VeruGHub/easyclimate/issues

Depends:

R (≥ 3.5.0)

Imports:

R.utils, RCurl, stats, terra (≥ 1.2-13)

Suggests:

sf, testthat (≥ 3.0.0)

Config/testthat/edition:

Encoding:

UTF-8

RoxygenNote:

7.3.3

NeedsCompilation:

Packaged:

2026-07-28 05:28:05 UTC; SOFIA

Author:

Verónica Cruz-Alonso

[aut, cph], Francisco Rodriguez-Sanchez

[aut, cph], Christoph Pucher

[aut], Paloma Ruiz-Benito

[aut], Julen Astigarraga

[aut], Mathias Neumann

[aut], Sofía Miguel

[aut, cre], Sophia Ratcliffe

[aut]

Maintainer:

Sofía Miguel <sofia.miromero@gmail.com>

Repository:

CRAN

Date/Publication:

2026-07-28 22:40:09 UTC

easyclimate: Easy Access to High-Resolution Daily Climate Data for Europe

Description

Get high-resolution (1 km) daily, monthly and annual climate data (precipitation, and average, minimum and maximum temperatures) for points and polygons within Europe.

Author(s)

Maintainer: Sofía Miguel sofia.miromero@gmail.com (ORCID)

Authors:

Verónica Cruz-Alonso veronica.cral@gmail.com (ORCID) [copyright holder]
Francisco Rodriguez-Sanchez (ORCID) [copyright holder]
Christoph Pucher (ORCID)
Paloma Ruiz-Benito (ORCID)
Julen Astigarraga (ORCID)
Mathias Neumann (ORCID)
Sophia Ratcliffe (ORCID)

Build the URL for a given request

Description

Build the URL to download climate data from ftp://palantir.boku.ac.at/Public/ClimateData/

Usage

build_url(climatic_var_single, year, version = "last", temp_res = "day")

Arguments

climatic_var_single

Character. Climatic variable to download. One of "Tmax","Tmin", "Tavg", or "Prcp".

year

Numeric. Year for which climatic data will be downloaded.

version

Character. Climate data version. Either "last" (default) or "4" (version 4).

temp_res

Character. One of "day" , "month" or "year".

Value

Character string with the URL.

Author(s)

Veronica Cruz-Alonso, Francisco Rodríguez-Sánchez, Sophia Ratcliffe, Sofía Miguel

Check climatic data server

Description

Checks that the online climatic data server is available and working correctly.

Usage

check_server(
  climatic_var = NULL,
  year = NULL,
  version = "last",
  verbose = TRUE,
  time_unit = "day"
)

Arguments

climatic_var

Optional. One of "Prcp", "Tmin", or "Tmax".

year

Optional. Year between 1950 and the latest year available on the server. Use get_periods() to obtain the available data versions and years available.

version

Character. Climatic data version. Either "last" (default) or "4" (version 4).

verbose

Logical. If TRUE, prints diagnostic messages; otherwise, returns only TRUE/FALSE.

time_unit

Character. One of "day" , "month" or "year".

Value

TRUE if the server is available; FALSE otherwise.

Examples

interactive()
check_server()

Get annual data for multiple climatic variables

Description

Extract annual climate data (temperature and precipitation) for a given set of points or polygons within Europe.

Usage

get_annual_climate(
  coords = NULL,
  climatic_var = "Prcp",
  period = NULL,
  output = "df",
  check_connection = FALSE
)

Arguments

coords

A matrix, data.frame, tibble::tbl_df-class, sf::sf(), or terra::SpatVector() object containing point or polygon coordinates in decimal degrees (lonlat/geographic format, EPSG 4326). Longitude must fall between -40.5 and 75.5 degrees, and latitude between 25.5 and 75.5 degrees. If coords is a matrix, it must have exactly two columns: the first containing longitude and the second containing latitude. If coords is a data.frame or a tbl_df, it must contain at least two columns called lon and lat with longitude and latitude coordinates, respectively.

climatic_var

Character. Climate variables to download ("Tmax", "Tmin", "Tavg", or "Prcp"). Various elements can be concatenated in the vector.

period

Numbers representing years between 1950 and the latest year available. To specify a sequence of years use the format 'start:end' (e.g. YYYY:YYYY, see examples). Various elements can be concatenated in the vector (e.g. c(2000:2005, 2010:2015, 2020))

output

Character. Either "df", which returns a data.frame with daily climatic values for each point or polygon, or "raster", which returns terra::SpatRaster() objects (within a list when more than one climatic variable is downloaded).

check_connection

Logical. Check the connection to the server before attempting data download?

Value

Either:

A data.frame (if output = "df")
A list of terra::SpatRaster() object (if output = "raster")

For precipitation, the function returns total (accumulated) precipitation per year. For temperature variables ('Tmin', 'Tmax', 'Tavg') the function returns the average (i.e. the annual average of minimum and maximum daily temperatures, or the average annual temperature).

Author(s)

Veronica Cruz-Alonso, Francisco Rodriguez-Sanchez

References

Pucher, Christoph (2026). Description of Downscaled European Climate Data. figshare. Online resource. https://doi.org/10.6084/m9.figshare.33078053.v1

Pucher C. 2023. Description and Evaluation of Downscaled Daily Climate Data Version 4. https://doi.org/10.6084/m9.figshare.22962671.v1

Adam Moreno, Hubert Hasenauer. 2016. Spatial downscaling of European climate data. International Journal of Climatology 36: 1444–1458.

Examples



# Coords as matrix
coords <- matrix(c(-5.36, 37.40), ncol = 2)
ex <- get_annual_climate(coords, period = 2008)  # 2008
ex <- get_annual_climate(coords, period = c(2008, 2010))  # 2008 AND 2010
ex <- get_annual_climate(coords, period = 2008:2010)  # 2008 TO 2010

ex <- get_annual_climate(coords, period = 2008, climatic_var = "Tmin")

# Coords as data.frame or tbl_df
coords <- as.data.frame(coords) #coords <- tibble::as_tibble(coords)
names(coords) <- c("lon", "lat")  # must have these columns
ex <- get_annual_climate(coords, period = 2008)  # single month

# Coords as sf
coords <- sf::st_as_sf(coords, coords = c("lon", "lat"))
ex <- get_annual_climate(coords, period = 2008)  # single month

# Several points
coords <- matrix(c(-5.36, 37.40, -4.05, 38.10), ncol = 2, byrow = TRUE)
ex <- get_annual_climate(coords, period = 2008, output = "raster")  # raster output

# Multiple climatic variables
coords <- matrix(c(-5.36, 37.40), ncol = 2)
ex <- get_annual_climate(coords, climatic_var = c("Tmin", "Tmax"), period = 2008)

## Polygons
coords <- terra::vect("POLYGON ((-5 38, -5 37.5, -4.5 37.5, -4.5 38, -5 38))")

# Return raster
ex <- get_annual_climate(coords, period = 2008, output = "raster")
ex <- get_annual_climate(coords, climatic_var = c("Tmin", "Tmax"),
period = 2008, output = "raster") # Multiple climatic variables

# Return dataframe for polygon
ex <- get_annual_climate(coords, period = 2008)

Get daily data for multiple climatic variables

Description

Extracts daily climatic data (temperature and precipitation) for a given set of points or polygons within Europe.

Usage

get_daily_climate(
  coords = NULL,
  climatic_var = "Prcp",
  period = NULL,
  output = "df",
  version = "last",
  check_connection = FALSE
)

Arguments

coords

climatic_var

Character. One or more climatic variables to download ("Tmax", "Tmin", "Tavg", or "Prcp"). Various elements can be concatenated in the vector.

period

Either numeric vector of years (between 1950 and the latest available year) or character vector of dates in "YYYY-MM-DD" format (to obtain data for specific days). To specify a sequence of years or dates, use the format 'start:end' (e.g. YYYY:YYYY or "YYYY-MM-DD:YYYY-MM-DD", see examples). Multiple dates or years can be concatenated in the vector (e.g. c(2000:2005, 2010:2015, 2020), c("2000-01-01:2000-01-15", "2000-02-01")). Use get_periods() to obtain the available data versions and years available.

output

version

Character. Climate data version. Uses the latest version ("last") by default. Version "4" is also available for reproducibility. See References for details about the climate datasets.

check_connection

Logical. Default is FALSE. If TRUE, checks the connection to the server before attempting to download the data.

Value

Either:

A data.frame (if output = "df")
A terra::SpatRaster() object (if output = "raster")
A list of terra::SpatRaster() objects (if output = "raster" and there is more than one climatic_var).

Author(s)

Veronica Cruz-Alonso, Francisco Rodriguez-Sanchez

References

For details on the latest version of the climatic data, see: Pucher, Christoph (2026). Description of Downscaled European Climate Data. figshare. Online resource. https://doi.org/10.6084/m9.figshare.33078053.v1

For details on version 4, see: Pucher C. 2023. Description and Evaluation of Downscaled Daily Climate Data Version 4. https://doi.org/10.6084/m9.figshare.22962671.v1

Adam Moreno, Hubert Hasenauer. 2016. Spatial downscaling of European climate data. International Journal of Climatology 36: 1444–1458.

Examples



# Coords as matrix
coords <- matrix(c(-5.36, 37.40), ncol = 2)
ex <- get_daily_climate(coords, period = "2001-01-01")  # single day
ex <- get_daily_climate(coords, period = c("2001-01-01", "2001-01-03"))  # 1st AND 3rd Jan 2001
ex <- get_daily_climate(coords, period = "2001-01-01:2001-01-03")  # 1st TO 3rd Jan 2001
ex <- get_daily_climate(coords, period = 2008)  # entire year
ex <- get_daily_climate(coords, period = c(2008, 2010))  # 2008 AND 2010
ex <- get_daily_climate(coords, period = 2008:2010)  # 2008 TO 2010

ex <- get_daily_climate(coords, period = "2001-01-01", climatic_var = "Tmin")

# Coords as data.frame or tbl_df
coords <- as.data.frame(coords) #coords <- tibble::as_tibble(coords)
names(coords) <- c("lon", "lat")  # must have these columns
ex <- get_daily_climate(coords, period = "2001-01-01")  # single day

# Coords as sf
coords <- sf::st_as_sf(coords, coords = c("lon", "lat"))
ex <- get_daily_climate(coords, period = "2001-01-01")  # single day

# Several points
coords <- matrix(c(-5.36, 37.40, -4.05, 38.10), ncol = 2, byrow = TRUE)
ex <- get_daily_climate(coords, period = "2001-01-01", output = "raster")  # raster output

# Multiple climatic variables
coords <- matrix(c(-5.36, 37.40), ncol = 2)
ex <- get_daily_climate(coords, climatic_var = c("Tmin", "Tmax"), period = "2001-01-01")

## Polygons
coords <- terra::vect("POLYGON ((-5 38, -5 37.5, -4.5 37.5, -4.5 38, -5 38))")

# Return raster
ex <- get_daily_climate(coords, period = "2001-01-01", output = "raster")

# Return dataframe for polygon
ex <- get_daily_climate(coords, period = "2001-01-01")

Get monthly data for multiple climatic variables

Description

Extract monthly climate data (temperature and precipitation) for a given set of points or polygons within Europe.

Usage

get_monthly_climate(
  coords = NULL,
  climatic_var = "Prcp",
  period = NULL,
  output = "df",
  check_connection = FALSE
)

Arguments

coords

climatic_var

Character. One or more climatic variables to download ("Tmax", "Tmin", "Tavg", or "Prcp"). Various elements can be concatenated in the vector.

period

Either numbers (representing years between 1950 and the latest year available), or dates in "YYYY-MM" format (to obtain data for specific months). To specify a sequence of years or months use the format 'start:end' (e.g. YYYY:YYYY or "YYYY-MM:YYYY-MM", see examples). Various elements can be concatenated in the vector (e.g. c(2000:2005, 2010:2015, 2020), c("2000-01:2000-06", "2001-01")). Use get_periods() to obtain the available data versions and years available.

output

check_connection

Logical. Default is FALSE. If TRUE, checks the connection to the server before attempting to download the data.

Value

Either:

A data.frame (if output = "df")
A list of terra::SpatRaster() object (if output = "raster")

For precipitation, the function returns total (accumulated) precipitation per month. For temperature variables ("Tmin", "Tmax", "Tavg") the function returns the average (i.e. the monthly average of minimum and maximum daily temperatures, or the average monthly temperature).

Author(s)

Veronica Cruz-Alonso, Francisco Rodriguez-Sanchez

References

For details on version 4, see: Pucher C. 2023. Description and Evaluation of Downscaled Daily Climate Data Version 4. https://doi.org/10.6084/m9.figshare.22962671.v1

Adam Moreno, Hubert Hasenauer. 2016. Spatial downscaling of European climate data. International Journal of Climatology 36: 1444–1458.

Examples



# Coords as matrix
coords <- matrix(c(-5.36, 37.40), ncol = 2)
ex <- get_monthly_climate(coords, period = "2001-01")  # single month
ex <- get_monthly_climate(coords, period = c("2001-01", "2001-03"))  # January AND March 2001
ex <- get_monthly_climate(coords, period = "2001-01:2001-03")  # January TO March 2001
ex <- get_monthly_climate(coords, period = 2008)  # entire year
ex <- get_monthly_climate(coords, period = c(2008, 2010))  # 2008 AND 2010
ex <- get_monthly_climate(coords, period = 2008:2010)  # 2008 TO 2010

ex <- get_monthly_climate(coords, period = "2001-01", climatic_var = "Tmin")

# Coords as data.frame or tbl_df
coords <- as.data.frame(coords) #coords <- tibble::as_tibble(coords)
names(coords) <- c("lon", "lat")  # must have these columns
ex <- get_monthly_climate(coords, period = "2001-01")  # single month

# Coords as sf
coords <- sf::st_as_sf(coords, coords = c("lon", "lat"))
ex <- get_monthly_climate(coords, period = "2001-01")  # single month

# Several points
coords <- matrix(c(-5.36, 37.40, -4.05, 38.10), ncol = 2, byrow = TRUE)
ex <- get_monthly_climate(coords, period = "2001-01", output = "raster")  # raster output

# Multiple climatic variables
coords <- matrix(c(-5.36, 37.40), ncol = 2)
ex <- get_monthly_climate(coords, climatic_var = c("Tmin", "Tmax"), period = "2001-01")

## Polygons
coords <- terra::vect("POLYGON ((-5 38, -5 37.5, -4.5 37.5, -4.5 38, -5 38))")

# Return raster
ex <- get_monthly_climate(coords, period = "2001-01", output = "raster")
ex <- get_monthly_climate(coords, climatic_var = c("Tmin", "Tmax"), period = "2001-01",
output = "raster") # Multiple climatic variables

# Return dataframe for polygon
ex <- get_monthly_climate(coords, period = "2001-01")

Get available climatic data versions and years available.

Description

Returns a data.frame describing the available climatic data versions and their temporal coverage (initial and latest available years).

Usage

get_periods()

Value

A data.frame containing the available climate data versions and their corresponding initial and latest available years.

Author(s)

Sofia Miguel

References

For details on version 4, see: Pucher C. 2023. Description and Evaluation of Downscaled Daily Climate Data Version 4. https://doi.org/10.6084/m9.figshare.22962671.v1

Adam Moreno, Hubert Hasenauer. 2016. Spatial downscaling of European climate data. International Journal of Climatology 36: 1444–1458.

VPSPulse Mirrors

Package {easyclimate}

easyclimate: Easy Access to High-Resolution Daily Climate Data for Europe

Description

Author(s)

See Also

Build the URL for a given request

Description

Usage

Arguments

Value

Author(s)

Check climatic data server

Description

Usage

Arguments

Value

Examples

Get annual data for multiple climatic variables

Description

Usage

Arguments

Value

Author(s)

References

Examples

Get daily data for multiple climatic variables

Description

Usage

Arguments

Value

Author(s)

References

Examples

Get monthly data for multiple climatic variables

Description

Usage

Arguments

Value

Author(s)

References

Examples

Get available climatic data versions and years available.

Description

Usage

Value

Author(s)

References