read_eurocordex_data: search for EURO-CORDEX netCDF files, get the data from the...

Description Usage Arguments Value Examples

Description

search for EURO-CORDEX netCDF files, get the data from the netCDF files and put them into a data.frame

Usage

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read_eurocordex_data(dir, variable, domain, driver, experiment, ensemble,
  institute, model, downscaling_realisation, time_frequency, time, stations)

Arguments

dir

string: file direcotory

variable

string: model variable, see EURO-CORDEX Doc

domain

string: model domain, see EURO-CORDEX Doc

driver

string: driving global model, see EURO-CORDEX Doc

experiment

string: experiment type (historical, rcp2.6, rcp4.5, rcp8.5), see EURO-CORDEX Doc

ensemble

string: ensemble (e.g. r12i1p1), see EURO-CORDEX Doc

institute

string: institution who did the model run, see EURO-CORDEX Doc

model

string: used RCM (regional climate model), see EURO-CORDEX Doc

downscaling_realisation

string: version of the downscaling realisation (most often 'v1'), see EURO-CORDEX Doc

time_frequency

string: time frequency of model output (e.g. 'day'), see EURO-CORDEX Doc

stations

data.frame of three columns station_name, lon, and lat

time_lim

string, numeric or integer: array of length 2 containing start and end time to read in format 'YYYYMMDD' (as character, numeric or integer)

Value

data.frame with first column "time" and last column "time_posix". further columns in between are denoted according to idxStations$station_name; each row contains data of one time step

Examples

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# define directory that contains the model data
dir <- '/my/data/directory/for/EUROCORDEX/data'

# define EURO-CORDEX model run details
variable <- 'sfcWind'
domain <- 'EUR-11'
driver <- 'ICHEC-EC-EARTH'
experiment <- 'rcp85'
ensemble <- 'r12i1p1'
institute <- 'CLMcom'
model <- 'CCLM4-8-17'
downscaling_realisation <- 'v1'
time_frequency <- 'day'
time <- c('20110201', '20170301')

# define stations
stations <- data.frame(c('abc', 'def', 'ghi', 'jkl'), c(10.31, 11.12, 9.2, 9.31), c(55.19, 54.77, 55.02, 53.2), c(44, 1, 5, 107), stringsAsFactors = FALSE)
names(stations) <- c('station_name', 'lon', 'lat', 'elev')

# read in the data
my_data <- read_eurocordex_data(dir, variable, domain, driver, experiment, ensemble, institute, model, downscaling_realisation, time_frequency, time, stations)

neumannd/eurocordex2swatTools documentation built on May 14, 2019, 2:17 p.m.