Package 'easyclimate'

Title: 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.
Authors: Verónica Cruz-Alonso [aut, cph] (ORCID: <https://orcid.org/0000-0002-0642-036X>), Francisco Rodríguez-Sánchez [aut, cph] (ORCID: <https://orcid.org/0000-0002-7981-1599>), Christoph Pucher [aut] (ORCID: <https://orcid.org/0000-0002-9269-1907>), Paloma Ruiz-Benito [aut] (ORCID: <https://orcid.org/0000-0002-2781-5870>), Julen Astigarraga [aut] (ORCID: <https://orcid.org/0000-0001-9520-3713>), Mathias Neumann [aut] (ORCID: <https://orcid.org/0000-0003-2472-943X>), Sofía Miguel [aut, cre] (ORCID: <https://orcid.org/0000-0002-1341-8022>), Sophia Ratcliffe [aut] (ORCID: <https://orcid.org/0000-0001-9284-7900>)
Maintainer: Sofía Miguel <[email protected]>
License: GPL (>= 3)
Version: 1.0.1
Built: 2026-05-18 15:49:36 UTC
Source: https://github.com/VeruGHub/easyclimate

Help Index

Check climate data server

Description

Check that the online climate data server is available and working correctly. Only works for version 4 of the climate dataset.

Usage

check_server(climatic_var = NULL, year = NULL, verbose = TRUE)

Arguments

climatic_var

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

Optional. Year between 1950 and 2022.
verbose

Logical. Print diagnostic messages, or just return TRUE/FALSE?

Details

This function checks access to the latest version of the climatic dataset (version 4).

Value

TRUE if the server seems available, FALSE otherwise.

Examples

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"
)

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 only two columns: the first with longitude and the second with latitude data. 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. Climatic variables to be downloaded ('Tmax', 'Tmin', 'Tavg' or 'Prcp'). Various elements can be concatenated in the vector.
period

Numbers representing years between 1950 and 2024. 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 dataframe with daily climatic values for each point/polygon, or "raster", which returns terra::SpatRaster() objects (within a list when more than one climatic variable is downloaded).

Value

Either:

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

Werner Rammer, Christoph Pucher, Mathias Neumann. 2018. Description, Evaluation and Validation of Downscaled Daily Climate Data Version 2. ftp://palantir.boku.ac.at/Public/ClimateData/

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

Extract daily climate 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

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 only two columns: the first with longitude and the second with latitude data. 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. Climatic variables to be downloaded ('Tmax', 'Tmin' or 'Prcp'). Various elements can be concatenated in the vector.
period

Either integer numbers (representing years between 1950 and 2024), or 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). Various elements can be concatenated in the vector (e.g. c(2000:2005, 2010:2015, 2020), c("2000-01-01:2000-01-15", "2000-02-01"))
output

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

Character. Version of the climate data. It uses the latest version ('last') by default. The former version (4) is also available, for the sake of reproducibility. See 'references' for details on the climatic data sets.
check_connection

Logical. Check the connection to the server before attempting data download? Only used if version = 4.

Value

Either:

Author(s)

Veronica Cruz-Alonso, Francisco Rodriguez-Sanchez

References

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

Werner Rammer, Christoph Pucher, Mathias Neumann. 2018. Description, Evaluation and Validation of Downscaled Daily Climate Data Version 2. ftp://palantir.boku.ac.at/Public/ClimateData/

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"
)

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 only two columns: the first with longitude and the second with latitude data. 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. Climatic variables to be downloaded ('Tmax', 'Tmin', 'Tavg' or 'Prcp'). Various elements can be concatenated in the vector.
period

Either numbers (representing years between 1950 and 2024), 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"))
output

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

Value

Either:

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

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

Werner Rammer, Christoph Pucher, Mathias Neumann. 2018. Description, Evaluation and Validation of Downscaled Daily Climate Data Version 2. ftp://palantir.boku.ac.at/Public/ClimateData/

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")