R/readLPJml_rev21.R
In pik-piam/moinput: Model Operations Input Data Library
Defines functions
readLPJml_rev21
#' @title readLPJml_rev21
#' @description Read LPJmL contant
#' @param subtype Switch between diffrent input
#' @return List of magpie objects with results on cellular level, weight, unit and description.
#' @author Benjamin Leon Bodirsky
#' @seealso
#' \code{\link{readLPJml_rev21}},
#' \code{\link{readLPJ}}
#' @examples
#'
#' \dontrun{
#' readSource("LPJml_rev21", subtype="maize_mrh")
#' }
#'
#' @importFrom magclass read.magpie
#' @importFrom lpjclass readLPJ
#' @importFrom lpjclass read.LPJ_input
#' @importFrom lpjclass as.lpj
#' @importFrom utils tail data
readLPJml_rev21<-function(subtype="soilc"){
files <- c(soilc="soilc_natveg.bin",
soilc_layer="soilc_layer_natveg.bin",
litc="litc_natveg.bin",
vegc="vegc_natveg.bin",
cshare="cshare_released_0.5.mz",
calibrated_area="calibrated_area_0.5.mz",
koeppen="koeppen_geiger_0.5.mz",
harvest_lai4="pft_harvest.pft_lai4.bin",
transpiration="mtransp.bin",
evaporation="mevap.bin",
precipitation="cru_ts3.21.1901.2012.pre.clm",
temperature="cru_ts3.21.1901.2012.tmp.clm",
soilc_maiz_rf="soilc.mai.wresidues.rf.bin",
soilc_maiz_ir="soilc.mai.wresidues.ir.bin",
soilc_soy_rf="soilc.soy.wresidues.rf.bin",
soilc_soy_ir="soilc.soy.wresidues.ir.bin",
soilc_grass_rf="soilc.grass.bin",
litc_maiz_rf="litc.mai.wresidues.rf.bin",
litc_maiz_ir="litc.mai.wresidues.ir.bin",
litc_soy_rf="litc.soy.wresidues.rf.bin",
litc_soy_ir="litc.soy.wresidues.ir.bin",
litc_grass_rf="litc.grass.bin",
mrh_maiz_rf="mrh.mai.wresidues.rf.bin",
mrh_maiz_ir="mrh.mai.wresidues.ir.bin",
mrh_soy_rf="mrh.soy.wresidues.rf.bin",
mrh_soy_ir="mrh.soy.wresidues.ir.bin",
mrh_grass_rf="mrh.grass.bin",
cftshare="cftfrac.bin",
cftshareInput="lpjLUout.bin",
cellarea = "grid.bin",
oceanshare = "oceanfrac.bin",
lakeshare = "glwd_lakes_and_rivers.bin",
soilc_pnv = "soilc_pnv.bin",
soilc_lu = "soilc_lu.bin",
soilc_hist = "soilc_hist.bin"
)
file <- toolSubtypeSelect(subtype,files)
if (subtype%in%c("soilc","litc","vegc")){
start_year <- 1901 #Start year of data set
years <- 1901:2095 #Vector of years that should be exported
nbands <- 1 # Number of bands in the .bin file
avg_range <- 1 #Number of years used for averaging
# Transformation factor gC/m^2 --> t/ha
unit_transform <-0.01
x<-readLPJ(
file_name=file,
wyears=years,
syear=start_year,
averaging_range=avg_range,
bands=nbands,
soilcells=TRUE)
x<-collapseNames(as.magpie(x))
getNames(x)<-subtype
x<-x*unit_transform
} else if (subtype%in%c("harvest_lai4")){
start_year <- 1950 #Start year of data set
years <- 1961:2010 #Vector of years that should be exported
nbands <-32 # Number of bands in the .bin file
avg_range <- 8 #Number of years used for averaging
# Transformation factor gC/m^2 --> t/ha
unit_transform <-0.01/0.45
x<-readLPJ(
file_name=file,
wyears=years,
syear=start_year,
averaging_range=avg_range,
bands=nbands,
soilcells=TRUE)
x<-collapseNames(as.magpie(x))
x<-x*unit_transform
} else if (subtype%in%c("soilc_layer")){
start_year <- 1951 #Start year of data set
years <- 1951:2095 #Vector of years that should be exported
nbands <-5 # Number of bands in the .bin file
avg_range <- 1 #Number of years used for averaging
# Transformation factor gC/m^2 --> t/ha
unit_transform <-0.01
x<-readLPJ(
file_name=file,
wyears=years,
syear=start_year,
averaging_range=avg_range,
bands=nbands,
soilcells=TRUE)
# Anders als soilc.bin hat das 5 layer, also die ersten 67420 Werte sind für layer 1 (0-200mm) und Jahr 1 (1951), die nächsten 67420 für layer 2 (201-500mm) und Jahr eins, dann layer 3 (501-1000mm), dann layer 4 (1001-2000mm), dann layer 5 (2001-3000mm), danach dann layer 1 für das 2. Jahr etc.
# Wir benötigen nur die obersten 2 layer
x<-x[,,1:2,1]
x<-collapseNames(as.magpie(x))
getNames(x)<-c("mm0_200","mm201_500")
x<-x*unit_transform
} else if (subtype%in%c("transpiration","evaporation")){
past<-findset("past")
start_year <- 1901 #Start year of data set
years <- as.numeric(substring(past,2)) #Vector of years that should be exported
nbands <-12 # Number of bands in the .bin file
avg_range <- 1 #Number of years used for averaging
ncells=67420
# unit: liter/square meter
x<-readLPJ(
file_name=file,
wyears=years,
syear=start_year,
averaging_range=avg_range,
bands=nbands,
ncells=ncells,
soilcells=TRUE)
x<-collapseNames(as.magpie(x))
} else if (subtype%in%c("precipitation","temperature")){
x<-read.LPJ_input(
file_name=file,
out_years=paste0("y",1951:2012))
dimnames(x)[[3]]<-c("jan","feb","mar","apr","mai","jun","jul","aug","sep","oct","nov","dez")
x<-collapseNames(as.magpie(x))
} else if (subtype%in%c("cshare","koeppen","calibrated_area")){
x<-read.magpie(file)
} else if (grepl("soilc_[ms]|litc_[ms]", subtype)){
start_year <- 1951 #Start year of data set
years <- 1951:2009 #Vector of years that should be exported
nbands <- 1 #Number of bands in the .bin file
avg_range <- 1 #Number of years used for averaging
unit_transform <-0.01 #Transformation factor gC/m^2 --> t/ha
x <- readLPJ(
file_name=file,
wyears=years,
syear=start_year,
averaging_range=avg_range,
bands=nbands,
soilcells=TRUE)
x <- collapseNames(as.magpie(x))
x <- x*unit_transform
getNames(x) <- subtype
} else if (grepl("soilc_grass|litc_grass", subtype)){
start_year <- 1901 #Start year of data set
years <- 1951:2009 #Vector of years that should be exported
nbands <- 1 #Number of bands in the .bin file
avg_range <- 1 #Number of years used for averaging
unit_transform <-0.01 #Transformation factor gC/m^2 --> t/ha
x <- readLPJ(
file_name=file,
wyears=years,
syear=start_year,
averaging_range=avg_range,
bands=nbands,
soilcells=TRUE)
x <- collapseNames(as.magpie(x))
x <- x*unit_transform
getNames(x) <- subtype
} else if (grepl("mrh_[ms]", subtype)){
start_year <- 1951 #Start year of data set
years <- 1951:2009 #Vector of years that should be exported
nbands <- 12 #Number of bands in the .bin file
avg_range <- 1 #Number of years used for averaging
unit_transform <-0.01 #Transformation factor gC/m^2 --> t/ha
x <- readLPJ(
file_name=file,
wyears=years,
syear=start_year,
averaging_range = avg_range,
monthly=TRUE,
soilcells=TRUE)
x <- collapseNames(as.magpie(x))
x <- x*unit_transform
#getNames(x) <- subtype
} else if (grepl("mrh_grass", subtype)){
start_year <- 1901 #Start year of data set
years <- 1951:2009 #Vector of years that should be exported
nbands <- 12 #Number of bands in the .bin file
avg_range <- 1 #Number of years used for averaging
unit_transform <-0.01 #Transformation factor gC/m^2 --> t/ha
x <- readLPJ(
file_name=file,
wyears=years,
syear=start_year,
averaging_range = avg_range,
monthly=TRUE,
soilcells=TRUE)
x <- collapseNames(as.magpie(x))
x <- x*unit_transform
#getNames(x) <- subtype
} else if (subtype=="cellarea"){
unit_transform <- 10^-10
ncells <- 67420
### Read input
#zz <- file(paste(file,sep=""),"rb")
#seek(zz, where = 43, origin="start")
x <- readBin(con=file, what=integer(), n=2*ncells, size=2)/100
### Calculate area
lon <- x[c(1:ncells)*2-1]
lat <- x[c(1:ncells)*2]
x <- array((111194.9*0.5)*(111194.9*0.5)*cos(lat/180*pi), dim=c(67420,1,1,1))
### Name spatial dimension
lpjclassdata <- NULL
data("lpjclassdata", envir = environment(), package="lpjclass")
land <- lpjclassdata$cellbelongings[,c("LPJ.Index","country.code")]
x <- x[which(lpjclassdata$grid_67420_59199==1),,,,drop=FALSE]
dimnames(x)[[1]] <- paste(land$countryname,1:59199,sep=".")
### Transform to magpie-pbject
x <- as.magpie(as.lpj(x))
getNames(x) <- subtype
x <- x*unit_transform
} else if (subtype%in%c("oceanshare","lakeshare")){
unit_transform <- 10^-2
ncells <- 67420
if(subtype=="oceanshare") {
header_bytes <- 43
} else if(subtype=="lakeshare"){
header_bytes <- 48
}
### Read input
zz <- file(paste(file,sep=""),"rb")
seek(zz, where = header_bytes, origin="start")
x <- array(readBin(con=zz, what=integer(), n=ncells, size=1), dim=c(67420,1,1,1))
### Name spatial dimension
lpjclassdata <- NULL
data("lpjclassdata", envir = environment(), package="lpjclass")
land <- lpjclassdata$cellbelongings[,c("LPJ.Index","country.code")]
x <- x[which(lpjclassdata$grid_67420_59199==1),,,,drop=FALSE]
dimnames(x)[[1]] <- paste(land$countryname,1:59199,sep=".")
### Transform to magpie-pbject
x <- as.magpie(as.lpj(x))
getNames(x) <- subtype
x <- x*unit_transform
} else if (subtype%in%c("cftshare")){
start_year <- 2015 #Start year of data set
years <- 2015:2100 #Vector of years that should be exported
nbands <- 32 # Number of bands in the .bin file
avg_range <- 1 #Number of years used for averaging
ncells <- 67420
x<-readLPJ(
file_name=file,
wyears=years,
syear=start_year,
averaging_range=avg_range,
bands=nbands,
ncells=ncells,
soilcells=TRUE)
x<-collapseNames(as.magpie(x))
} else if (subtype%in%c("cftshareInput")){
out_years <- "y2015" #Start year of data set
x<-read.LPJ_input(
file_name=file,
out_years=out_years)
x<-collapseNames(as.magpie(x))
band_names_cfts <- c("tece","rice","maize","trce","pulses","tero","trro","sunflower",
"soybean","groundnut","rapeseed","sugarcane","others","mgrass","begr","betr")
irrigation_type <- c("rainfed","irrigated_surface","irrigated_sprinkler","irrigated_drip")
out <- NULL
for(i in c(1:4)){
toAdd <- x[,,c(((i-1)*16+1):(i*16))]
getNames(toAdd) <- band_names_cfts
toAdd <- add_dimension(toAdd, add="irrigationtype", nm=irrigation_type[i], dim=3.2)
out <- mbind(out, toAdd)
}
x <- out
} else if (subtype%in%c("soilc_lu")){
start_year <- 2015 #Start year of data set
years <- 2015:2100 #Vector of years that should be exported
nbands <- 1 # Number of bands in the .bin file
avg_range <- 1 #Number of years used for averaging
ncells <- 67420
# Transformation factor gC/m^2 --> t/ha
unit_transform <-0.01
x<-readLPJ(
file_name=file,
wyears=years,
syear=start_year,
averaging_range=avg_range,
bands=nbands,
ncells=ncells,
soilcells=TRUE)
x<-collapseNames(as.magpie(x))
getNames(x)<-subtype
x<-x*unit_transform
} else if (subtype%in%c("soilc_pnv")){
start_year <- 1901 #Start year of data set
years <- 1901:2100 #Vector of years that should be exported
nbands <- 1 # Number of bands in the .bin file
avg_range <- 1 #Number of years used for averaging
ncells <- 67420
# Transformation factor gC/m^2 --> t/ha
unit_transform <-0.01
x<-readLPJ(
file_name=file,
wyears=years,
syear=start_year,
averaging_range=avg_range,
bands=nbands,
ncells=ncells,
soilcells=TRUE)
x<-collapseNames(as.magpie(x))
getNames(x)<-subtype
x<-x*unit_transform
} else if (subtype%in%c("soilc_hist")){
start_year <- 1901 #Start year of data set
years <- 1901:2015 #Vector of years that should be exported
nbands <- 1 # Number of bands in the .bin file
avg_range <- 1 #Number of years used for averaging
ncells <- 67420
# Transformation factor gC/m^2 --> t/ha
unit_transform <-0.01
x<-readLPJ(
file_name=file,
wyears=years,
syear=start_year,
averaging_range=avg_range,
bands=nbands,
ncells=ncells,
soilcells=TRUE)
x<-collapseNames(as.magpie(x))
getNames(x)<-subtype
x<-x*unit_transform
} else {stop(paste0("subtype ",subtype," is not existing"))}
dimnames(x)[[1]] <- paste0("GLO.",1:dim(x)[1])
x<-clean_magpie(x)
return(x)
}
pik-piam/moinput documentation built on June 9, 2020, 12:23 p.m.
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Defines functions readLPJml_rev21
#' @title readLPJml_rev21
#' @description Read LPJmL contant
#' @param subtype Switch between diffrent input
#' @return List of magpie objects with results on cellular level, weight, unit and description.
#' @author Benjamin Leon Bodirsky
#' @seealso
#' \code{\link{readLPJml_rev21}},
#' \code{\link{readLPJ}}
#' @examples
#'
#' \dontrun{
#' readSource("LPJml_rev21", subtype="maize_mrh")
#' }
#'
#' @importFrom magclass read.magpie
#' @importFrom lpjclass readLPJ
#' @importFrom lpjclass read.LPJ_input
#' @importFrom lpjclass as.lpj
#' @importFrom utils tail data
readLPJml_rev21<-function(subtype="soilc"){
files <- c(soilc="soilc_natveg.bin",
soilc_layer="soilc_layer_natveg.bin",
litc="litc_natveg.bin",
vegc="vegc_natveg.bin",
cshare="cshare_released_0.5.mz",
calibrated_area="calibrated_area_0.5.mz",
koeppen="koeppen_geiger_0.5.mz",
harvest_lai4="pft_harvest.pft_lai4.bin",
transpiration="mtransp.bin",
evaporation="mevap.bin",
precipitation="cru_ts3.21.1901.2012.pre.clm",
temperature="cru_ts3.21.1901.2012.tmp.clm",
soilc_maiz_rf="soilc.mai.wresidues.rf.bin",
soilc_maiz_ir="soilc.mai.wresidues.ir.bin",
soilc_soy_rf="soilc.soy.wresidues.rf.bin",
soilc_soy_ir="soilc.soy.wresidues.ir.bin",
soilc_grass_rf="soilc.grass.bin",
litc_maiz_rf="litc.mai.wresidues.rf.bin",
litc_maiz_ir="litc.mai.wresidues.ir.bin",
litc_soy_rf="litc.soy.wresidues.rf.bin",
litc_soy_ir="litc.soy.wresidues.ir.bin",
litc_grass_rf="litc.grass.bin",
mrh_maiz_rf="mrh.mai.wresidues.rf.bin",
mrh_maiz_ir="mrh.mai.wresidues.ir.bin",
mrh_soy_rf="mrh.soy.wresidues.rf.bin",
mrh_soy_ir="mrh.soy.wresidues.ir.bin",
mrh_grass_rf="mrh.grass.bin",
cftshare="cftfrac.bin",
cftshareInput="lpjLUout.bin",
cellarea = "grid.bin",
oceanshare = "oceanfrac.bin",
lakeshare = "glwd_lakes_and_rivers.bin",
soilc_pnv = "soilc_pnv.bin",
soilc_lu = "soilc_lu.bin",
soilc_hist = "soilc_hist.bin"
)
file <- toolSubtypeSelect(subtype,files)
if (subtype%in%c("soilc","litc","vegc")){
start_year <- 1901 #Start year of data set
years <- 1901:2095 #Vector of years that should be exported
nbands <- 1 # Number of bands in the .bin file
avg_range <- 1 #Number of years used for averaging
# Transformation factor gC/m^2 --> t/ha
unit_transform <-0.01
x<-readLPJ(
file_name=file,
wyears=years,
syear=start_year,
averaging_range=avg_range,
bands=nbands,
soilcells=TRUE)
x<-collapseNames(as.magpie(x))
getNames(x)<-subtype
x<-x*unit_transform
} else if (subtype%in%c("harvest_lai4")){
start_year <- 1950 #Start year of data set
years <- 1961:2010 #Vector of years that should be exported
nbands <-32 # Number of bands in the .bin file
avg_range <- 8 #Number of years used for averaging
# Transformation factor gC/m^2 --> t/ha
unit_transform <-0.01/0.45
x<-readLPJ(
file_name=file,
wyears=years,
syear=start_year,
averaging_range=avg_range,
bands=nbands,
soilcells=TRUE)
x<-collapseNames(as.magpie(x))
x<-x*unit_transform
} else if (subtype%in%c("soilc_layer")){
start_year <- 1951 #Start year of data set
years <- 1951:2095 #Vector of years that should be exported
nbands <-5 # Number of bands in the .bin file
avg_range <- 1 #Number of years used for averaging
# Transformation factor gC/m^2 --> t/ha
unit_transform <-0.01
x<-readLPJ(
file_name=file,
wyears=years,
syear=start_year,
averaging_range=avg_range,
bands=nbands,
soilcells=TRUE)
# Anders als soilc.bin hat das 5 layer, also die ersten 67420 Werte sind für layer 1 (0-200mm) und Jahr 1 (1951), die nächsten 67420 für layer 2 (201-500mm) und Jahr eins, dann layer 3 (501-1000mm), dann layer 4 (1001-2000mm), dann layer 5 (2001-3000mm), danach dann layer 1 für das 2. Jahr etc.
# Wir benötigen nur die obersten 2 layer
x<-x[,,1:2,1]
x<-collapseNames(as.magpie(x))
getNames(x)<-c("mm0_200","mm201_500")
x<-x*unit_transform
} else if (subtype%in%c("transpiration","evaporation")){
past<-findset("past")
start_year <- 1901 #Start year of data set
years <- as.numeric(substring(past,2)) #Vector of years that should be exported
nbands <-12 # Number of bands in the .bin file
avg_range <- 1 #Number of years used for averaging
ncells=67420
# unit: liter/square meter
x<-readLPJ(
file_name=file,
wyears=years,
syear=start_year,
averaging_range=avg_range,
bands=nbands,
ncells=ncells,
soilcells=TRUE)
x<-collapseNames(as.magpie(x))
} else if (subtype%in%c("precipitation","temperature")){
x<-read.LPJ_input(
file_name=file,
out_years=paste0("y",1951:2012))
dimnames(x)[[3]]<-c("jan","feb","mar","apr","mai","jun","jul","aug","sep","oct","nov","dez")
x<-collapseNames(as.magpie(x))
} else if (subtype%in%c("cshare","koeppen","calibrated_area")){
x<-read.magpie(file)
} else if (grepl("soilc_[ms]|litc_[ms]", subtype)){
start_year <- 1951 #Start year of data set
years <- 1951:2009 #Vector of years that should be exported
nbands <- 1 #Number of bands in the .bin file
avg_range <- 1 #Number of years used for averaging
unit_transform <-0.01 #Transformation factor gC/m^2 --> t/ha
x <- readLPJ(
file_name=file,
wyears=years,
syear=start_year,
averaging_range=avg_range,
bands=nbands,
soilcells=TRUE)
x <- collapseNames(as.magpie(x))
x <- x*unit_transform
getNames(x) <- subtype
} else if (grepl("soilc_grass|litc_grass", subtype)){
start_year <- 1901 #Start year of data set
years <- 1951:2009 #Vector of years that should be exported
nbands <- 1 #Number of bands in the .bin file
avg_range <- 1 #Number of years used for averaging
unit_transform <-0.01 #Transformation factor gC/m^2 --> t/ha
x <- readLPJ(
file_name=file,
wyears=years,
syear=start_year,
averaging_range=avg_range,
bands=nbands,
soilcells=TRUE)
x <- collapseNames(as.magpie(x))
x <- x*unit_transform
getNames(x) <- subtype
} else if (grepl("mrh_[ms]", subtype)){
start_year <- 1951 #Start year of data set
years <- 1951:2009 #Vector of years that should be exported
nbands <- 12 #Number of bands in the .bin file
avg_range <- 1 #Number of years used for averaging
unit_transform <-0.01 #Transformation factor gC/m^2 --> t/ha
x <- readLPJ(
file_name=file,
wyears=years,
syear=start_year,
averaging_range = avg_range,
monthly=TRUE,
soilcells=TRUE)
x <- collapseNames(as.magpie(x))
x <- x*unit_transform
#getNames(x) <- subtype
} else if (grepl("mrh_grass", subtype)){
start_year <- 1901 #Start year of data set
years <- 1951:2009 #Vector of years that should be exported
nbands <- 12 #Number of bands in the .bin file
avg_range <- 1 #Number of years used for averaging
unit_transform <-0.01 #Transformation factor gC/m^2 --> t/ha
x <- readLPJ(
file_name=file,
wyears=years,
syear=start_year,
averaging_range = avg_range,
monthly=TRUE,
soilcells=TRUE)
x <- collapseNames(as.magpie(x))
x <- x*unit_transform
#getNames(x) <- subtype
} else if (subtype=="cellarea"){
unit_transform <- 10^-10
ncells <- 67420
### Read input
#zz <- file(paste(file,sep=""),"rb")
#seek(zz, where = 43, origin="start")
x <- readBin(con=file, what=integer(), n=2*ncells, size=2)/100
### Calculate area
lon <- x[c(1:ncells)*2-1]
lat <- x[c(1:ncells)*2]
x <- array((111194.9*0.5)*(111194.9*0.5)*cos(lat/180*pi), dim=c(67420,1,1,1))
### Name spatial dimension
lpjclassdata <- NULL
data("lpjclassdata", envir = environment(), package="lpjclass")
land <- lpjclassdata$cellbelongings[,c("LPJ.Index","country.code")]
x <- x[which(lpjclassdata$grid_67420_59199==1),,,,drop=FALSE]
dimnames(x)[[1]] <- paste(land$countryname,1:59199,sep=".")
### Transform to magpie-pbject
x <- as.magpie(as.lpj(x))
getNames(x) <- subtype
x <- x*unit_transform
} else if (subtype%in%c("oceanshare","lakeshare")){
unit_transform <- 10^-2
ncells <- 67420
if(subtype=="oceanshare") {
header_bytes <- 43
} else if(subtype=="lakeshare"){
header_bytes <- 48
}
### Read input
zz <- file(paste(file,sep=""),"rb")
seek(zz, where = header_bytes, origin="start")
x <- array(readBin(con=zz, what=integer(), n=ncells, size=1), dim=c(67420,1,1,1))
### Name spatial dimension
lpjclassdata <- NULL
data("lpjclassdata", envir = environment(), package="lpjclass")
land <- lpjclassdata$cellbelongings[,c("LPJ.Index","country.code")]
x <- x[which(lpjclassdata$grid_67420_59199==1),,,,drop=FALSE]
dimnames(x)[[1]] <- paste(land$countryname,1:59199,sep=".")
### Transform to magpie-pbject
x <- as.magpie(as.lpj(x))
getNames(x) <- subtype
x <- x*unit_transform
} else if (subtype%in%c("cftshare")){
start_year <- 2015 #Start year of data set
years <- 2015:2100 #Vector of years that should be exported
nbands <- 32 # Number of bands in the .bin file
avg_range <- 1 #Number of years used for averaging
ncells <- 67420
x<-readLPJ(
file_name=file,
wyears=years,
syear=start_year,
averaging_range=avg_range,
bands=nbands,
ncells=ncells,
soilcells=TRUE)
x<-collapseNames(as.magpie(x))
} else if (subtype%in%c("cftshareInput")){
out_years <- "y2015" #Start year of data set
x<-read.LPJ_input(
file_name=file,
out_years=out_years)
x<-collapseNames(as.magpie(x))
band_names_cfts <- c("tece","rice","maize","trce","pulses","tero","trro","sunflower",
"soybean","groundnut","rapeseed","sugarcane","others","mgrass","begr","betr")
irrigation_type <- c("rainfed","irrigated_surface","irrigated_sprinkler","irrigated_drip")
out <- NULL
for(i in c(1:4)){
toAdd <- x[,,c(((i-1)*16+1):(i*16))]
getNames(toAdd) <- band_names_cfts
toAdd <- add_dimension(toAdd, add="irrigationtype", nm=irrigation_type[i], dim=3.2)
out <- mbind(out, toAdd)
}
x <- out
} else if (subtype%in%c("soilc_lu")){
start_year <- 2015 #Start year of data set
years <- 2015:2100 #Vector of years that should be exported
nbands <- 1 # Number of bands in the .bin file
avg_range <- 1 #Number of years used for averaging
ncells <- 67420
# Transformation factor gC/m^2 --> t/ha
unit_transform <-0.01
x<-readLPJ(
file_name=file,
wyears=years,
syear=start_year,
averaging_range=avg_range,
bands=nbands,
ncells=ncells,
soilcells=TRUE)
x<-collapseNames(as.magpie(x))
getNames(x)<-subtype
x<-x*unit_transform
} else if (subtype%in%c("soilc_pnv")){
start_year <- 1901 #Start year of data set
years <- 1901:2100 #Vector of years that should be exported
nbands <- 1 # Number of bands in the .bin file
avg_range <- 1 #Number of years used for averaging
ncells <- 67420
# Transformation factor gC/m^2 --> t/ha
unit_transform <-0.01
x<-readLPJ(
file_name=file,
wyears=years,
syear=start_year,
averaging_range=avg_range,
bands=nbands,
ncells=ncells,
soilcells=TRUE)
x<-collapseNames(as.magpie(x))
getNames(x)<-subtype
x<-x*unit_transform
} else if (subtype%in%c("soilc_hist")){
start_year <- 1901 #Start year of data set
years <- 1901:2015 #Vector of years that should be exported
nbands <- 1 # Number of bands in the .bin file
avg_range <- 1 #Number of years used for averaging
ncells <- 67420
# Transformation factor gC/m^2 --> t/ha
unit_transform <-0.01
x<-readLPJ(
file_name=file,
wyears=years,
syear=start_year,
averaging_range=avg_range,
bands=nbands,
ncells=ncells,
soilcells=TRUE)
x<-collapseNames(as.magpie(x))
getNames(x)<-subtype
x<-x*unit_transform
} else {stop(paste0("subtype ",subtype," is not existing"))}
dimnames(x)[[1]] <- paste0("GLO.",1:dim(x)[1])
x<-clean_magpie(x)
return(x)
}
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