easyclimate (version 0.2.2)

get_daily_climate: 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 = 4,
  check_connection = TRUE
)

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).

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). 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 numbers (representing years between 1950 and 2022), 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

Numeric. Version of the climate data. It uses the latest version (4) by default. The former version (3) 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?

Author

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

if (FALSE) { # interactive()

# 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")
}