#'Read the wind data from TNW
#'@description Function to read the wind speed and direction from the TNW lidar. Data can be
#'downloaded from \url{https://offshorewind.rvo.nl/TNW_WindAndWater}.
#'@param dir directory of the files (allowed to be stored in subfolders).
#'@param h height of the measurement (4m, 30m ,40m ,60m ,80m ,100m ,120m ,140m ,160m ,180m ,200m ,250m).
#'@param what choose between Speed and Direction. Wind speed as sqrt(u^2+v^2).
#'@param stn choose between TNWA and TNWB lidar locations.
#'@author Marieke Dirksen
#' @importFrom rlang .data
#'@export
read_TNW<-function(dir="D:/data/Lidar/TNW",h=60,what="Speed",stn="TNWA"){
# I<-df[,grep("*_Altitude$*", colnames(df))]
# heights<-subset(df,select=I)
# heights<-gather(heights,"h","val")
h_opt<-c(4,30,40,60,80,100,120,140,160,180,200,250)
# names(df_height)<-c("nr","height")
h_exists<-h %in% h_opt
if(h_exists==FALSE){
message("Height level not included returning FALSE, try 4,30,40,60,80,100,120,140,160,180,200 or 250")
return(FALSE)
}
lidar_opt<-c("TNWA","TNWB")
lid_exists<-stn %in% lidar_opt
if(lid_exists==FALSE){
message("Lidar station name unknown returning FALSE, try TNWA or TNWB")
return(FALSE)
}
tnw<-list.files(dir,pattern="*WindResourceSpeedDirectionStat_F\\.csv$",
recursive = TRUE,full.names = TRUE)
tnw.I<-tnw[grep(stn,tnw)]
#One of the csv files contains an extra column "spLatitude deg"
#Used drop to exclude column so all files have the same structure
df<-do.call("rbind",lapply(tnw.I,function(x){data.table::fread(x,drop="spLatitude deg")}))
t.vec<-df$`TIMESTAMP (ISO-8601) UTC`
t.vec<-gsub("[A-Z]"," ",t.vec)
t.vec<-as.POSIXct(t.vec,format="%Y-%m-%d %H:%M:%S") #
if(what=="Speed"){
I<-df[,grep("^WindSpeed*", colnames(df))]
u<-subset(df,select=I) #.data$
heights<-as.numeric(gsub("[^0-9.-]", "", names(u)))
I.h<-which(heights==h)
if(length(I.h)==1){
hg<-subset(u,select=I.h)
df_h<-cbind(t.vec,hg)
df_h$h<-h
names(df_h)<-c("time","u","h")
df_h$u<-as.numeric(df_h$u)
}
if(length(I.h)==2){
message("Two columns with this height level, omitting the non-configurable reference height")
I.ref<-grep(".*refh.*",colnames(u)[I.h])
hg<-subset(u,select=I.h)
hg<-subset(hg,select=-I.ref)
df_h<-cbind(t.vec,hg)
df_h$h<-h
names(df_h)<-c("time","u","h")
}
df_h<-df_h[stats::complete.cases(df_h),]
return(df_h)
}
if(what=="Direction"){
I<-df[,grep("*WindDir*", colnames(df))]
u<-subset(df,select=I) #.data$
heights<-as.numeric(gsub("[^0-9.-]", "", names(u)))
I.h<-which(heights==h)
if(length(I.h)==1){
hg<-subset(u,select=I.h)
df_h<-cbind(t.vec,hg)
df_h$h<-h
names(df_h)<-c("time","dir","h")
df_h$dir<-as.numeric(df_h$dir)
}
if(length(I.h)==2){
message("Two columns with this height level, omitting the non-configurable reference height")
I.ref<-grep(".*refh.*",colnames(u)[I.h])
hg<-subset(u,select=I.h)
hg<-subset(hg,select=-I.ref)
df_h<-cbind(t.vec,hg)
df_h$h<-h
names(df_h)<-c("time","u","h")
}
df_h<-df_h[stats::complete.cases(df_h),]
return(df_h)
}
}
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