library("glmtools")
#year <- '2009'
calc.evap <- function(WBIC,year){
# min.duration is in TIME UNITS
# mix diff is °C
folder <- paste("~/Documents/WiLMA/supporting files/2014-03-13/WBIC_",WBIC,'/',sep='')
file <- paste('output',year,'.nc4',sep='')
evap <- NA # default is that it was not stratified
# does the file exist?
if (file %in% list.files(path = paste(folder))){
cat('WBIC ');cat(WBIC); cat(' processing.')
tryCatch({evap = get_evaporation(file = paste0(folder,file))},
error=function(e){})
cat('.')
if (any(!is.na(evap))){
evap <- sum(evap[,2], na.rm = T)/1000
}
}
return(evap)
}
#calc.strat.onset('9700',year=1985)
get.lakes <- function(year){
# if doing more than a few years, this should be stripped for just one column and kept in memory (future)
dat<-read.delim('~/Documents/WiLMA/supporting files/omg.huge.output.tsv',header = TRUE, sep = "\t")
# get rid of all rows that don't match the year
use.idx <- which(dat$year==year & !is.na(dat$dateOver8.9))
dat <- dat[use.idx,]
lake.ids <- as.character(dat$lakeid)
return(lake.ids)
}
call.lakes <- function(year){
file.out <- paste("~/Documents/WiLMA/supporting files/evap",year,'.tsv',sep='')
lake.ids <- get.lakes(year=year)[1:100]
lake.ids <- c(lake.ids, '1835300')
num.lakes <- length(lake.ids)
evap.matrix <- array(dim=c(num.lakes,1)) #
for (j in 1:num.lakes){
WBIC = lake.ids[j]
evap.matrix[j] <- calc.evap(WBIC,year)
cat('.\n')
}
write.out <- data.frame(lake.ids=lake.ids,evap.matrix)
# need to name the columns
col.names <- names(write.out)
col.names <- c("WBIC","evap.mm.day")
names(write.out) <- col.names
write.table(x=write.out,file=file.out,sep='\t',col.names=TRUE,quote=FALSE,row.names = FALSE)
}
years = seq(1979,2011,1)
print(years)
for (i in 1:length(years)){
call.lakes(years[i])
}
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