get_chirts: Get CHIRTS temperature data data

Description

Get daily maximum and minimum temperature data from the "Climate Hazards Group". CHIRTS-daily is a global 2-m temperature product that combines the monthly CHIRTSmax data set with the ERA5 reanalysis to produce routinely updated data to support the monitoring of temperature extreme. Data is currently available from 1983 to 2016. Soon available to near-present.

Usage

get_chirts(object, dates, var, ...)
# S3 method for default
get_chirts(object, dates, var, as.matrix = FALSE, ...)
# S3 method for SpatVector
get_chirts(object, dates, var, as.raster = TRUE, ...)
# S3 method for SpatRaster
get_chirts(object, dates, var, as.raster = TRUE, ...)

Value

A SpatRaster object if as.raster=TRUE, else matrix, list, or data.frame

Additional arguments

interval: supported intervals are “daily”, “pentad”, “dekad”, “monthly”, “2-monthly”, “3-monthly”, and “annual”. Currently hard coded to “daily”.

Details

Variable description from https://data.chc.ucsb.edu/products/CHIRTSdaily/aaa.Readme.txt

Tmax: Daily average maximum air temperature at 2 m above ground
Tmin: Daily average minimum air temperature at 2 m above ground
RHum: Daily average relative humidity
HeatIndex: Daily average heat index

Examples

Run this code

# NOT RUN {
library("chirps")
library("terra")

# Case 1: input a data frame return a data frame in the long format
dates <- c("2010-12-15","2010-12-31")
lonlat <- data.frame(lon = c(-55.0281,-54.9857),
                     lat = c(-2.8094, -2.8756))

temp1 <- get_chirts(lonlat, dates, var = "Tmax")

# Case 2: input a data frame return a matrix
temp2 <- get_chirts(lonlat, dates, "Tmax", as.matrix = TRUE)

# Case 3: input a raster and return raster
f <- system.file("ex/lux.shp", package="terra")
v <- vect(f)
temp3 <- get_chirts(v, dates, var = "Tmax", as.raster = TRUE)

# Case 4: input a raster and return raster
temp4 <- get_chirts(v, dates, var = "Tmax", as.matrix = TRUE)
# }