INQC (version 2.0.5)

clocov: QC for Cloud Cover (CC)

Description

This function will centralize temperature-like QC routines. It will create a file in the folder QC with an additional 0/1 column, where "1" means test failed.

Usage

clocov(
  element = "CC",
  maxseq = 8,
  blocksizeround = 20,
  blockmanymonth = 20,
  blockmanyyear = 200,
  inisia = FALSE
)

Arguments

element

two-letters ECA&D code for the element (CC for cloud cover)

maxseq

maximum number of consecutive repeated values, FUNCTION: flat (8,8,8 would be 3 consecutive values).

blocksizeround

maximum number of values in a month with the same decimal, FUNCTION: rounding

blockmanymonth

maximum number of equal values in a month, FUNCTION: toomany

blockmanyyear

maximum number of equal values in a year, FUNCTION: toomany

inisia

a logical flag. If it is TRUE inithome() will be called

Value

QC results for CC

Examples

# NOT RUN {
#Set a temporal working directory:
wd <- tempdir()
wd0 <- setwd(wd)
#Create subdirectory where raw data files have to be located
dir.create(file.path(wd, 'raw'))
options("homefolder"='./'); options("blend"=FALSE)
#Extract the ECA&D data and station files from the example data folder
path2cclist<-system.file("extdata", "ECA_blend_source_cc.txt", package = "INQC")
cclist<-readr::read_lines_raw(path2cclist)
readr::write_lines(cclist,'ECA_blend_source_cc.txt')
path2ccdata<-system.file("extdata", "CC_SOUID132727.txt", package = "INQC")
ccdata<-readr::read_lines_raw(path2ccdata)
readr::write_lines(ccdata, file=paste(wd,'/raw/CC_SOUID132727.txt',sep=''))
#Perform QC of Cloud Cover data
clocov(inisia=TRUE)
#Remove some temporary files
list = list.files(pattern = "Rfwf")
file.remove(list)
#Return to user's working directory:
setwd(wd0)
#The QC results can be found in the directory:
print(wd)
# }