extractcru: Function for extracting climate data from CRU datasets

In ahmad-alkadri/simpleRCRU: Simple R package for extracting climate information from CRU datasets

Description

A wrapper for raster() function, useful for extracting climate date from CRU datasets in a very straightforward way. All you need to do is put in the CRU dataset file, choose the variable that you want, enter the year and the month, and you will get a dataframe with the desired variable for the given time.

Usage

extractcru(file, lon, lat, var, year, month)

Arguments

file	The CRU dataset file, usually with "dat.nc" extension
lon	Longitude value of the coordinate of a given place
lat	Latitude value of the coordinate of a given place
var	The variable from the CRU dataset that we would like to obtain, could be "tmp" for temperature, "pre" for precipitation, and so on.
year	A given year, must be within the span measured in the CRU dataset
month	A given month, must be from the Gregorian calendar and can be written either in English ("January", "February", etc.) or number (1, 2, 3, etc.).

Value

A dataframe with the desired climate parameter (precipitation, temperature, etc.) of a particular place with the given latitude and longitude on the requested year and month.

Examples

library(simpleRCRU)
library(R.utils)

# Download the climate dataset
download.file("https://crudata.uea.ac.uk/cru/data/hrg/cru_ts_4.02/cruts.1811131722.v4.02/pre/cru_ts4.02.1991.2000.pre.dat.nc.gz",
              destfile = "cru_ts4.02.1991.2000.pre.dat.nc.gz")

# Unzipping the dataset
gunzip("cru_ts4.02.1991.2000.pre.dat.nc.gz",
remove = TRUE, overwrite = TRUE)

year <- 2000

month <- "December"

file <- ("cru_ts4.02.1991.2000.pre.dat.nc")

# Climate parameter (precipitation)
var <- "pre"

lon <- 2.4

lat <- 48.9

datres <- extractcru(file, lon, lat, var, year, month)

file.remove("cru_ts4.02.1991.2000.pre.dat.nc")

ahmad-alkadri/simpleRCRU documentation built on Aug. 15, 2019, 7:24 p.m.