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process_MASKS.R
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executable file
·212 lines (192 loc) · 8.61 KB
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###################################################
## Generate masks ##
###################################################
##################### Setup #######################
## Specify the low-resolution geogrid file
geoFile <- '/glade/p/ral/RHAP/adugger/FRNG_MASTER_15Min_LONG_16Cores/DOMAIN/AD_KS_151117/geo_em.d02_151117.nc'
## Select which masks/points to create:
# Basin masks:
createBasMask <- TRUE
# Specify the mask file
maskFile <- '/glade/p/ral/RHAP/adugger/FRNG_MASTER_15Min_LONG_16Cores/DOMAIN/AD_KS_151117/Fulldom_hires_netcdf_file_151117.nc'
# If relevant, specify variable name
maskVar <- "basn_msk"
# Specify the aggregation factor between the input mask grid and geogrid
aggfact <- 10
# Reverse the y direction from N->S to S->N?
ns2sn <- TRUE
# Point masks:
# Ameriflux points
createAmfMask <- TRUE
# SNOTEL points
createSnoMask <- TRUE
# MET station points
createMetMask <- FALSE
# MET station sites (must include columns: id, lat, lon)
metSites <- read.table("/glade/p/ral/RHAP/adugger/Upper_RioGrande/OBS/MET/met.URG.sites4msk.txt", header=TRUE, sep="\t")
# Streamflow gages:
# Specify the FRXST points lookup table
# (must include columns: id, lat, lon, gageid, source, basnids)
# Example: id lon lat gageid source basnids
# 9 -106.33292 37.37602 ALATERCO CODWR 9,10,12
# 49 -106.56661 38.86029 09107000 USGS 49
frxstPts <- "/glade/p/ral/RHAP/adugger/FRNG_MASTER_15Min_LONG_16Cores/DOMAIN/AD_KS_151117/frxstptsMeta.Rdata"
# Link to gage:
createRouteLink <- TRUE
# If running reach-based routing, specify routelink file:
rtLinkFile <- "/glade/p/ral/RHAP/adugger/FRNG_MASTER_15Min_LONG_16Cores/DOMAIN/Route_Link_2.nc"
# Specify the .Rdata file to create
maskFileOut <- '/glade/p/ral/RHAP/adugger/FRNG_MASTER_15Min_LONG_16Cores/DOMAIN/AD_KS_151117/frn_4basns_MASKS.Rdata'
###################################################################################################
## Run
library(rwrfhydro)
saveList <- c()
if (is.null(maskVar)) maskVar <- "basn_msk"
if (is.null(aggfact)) aggfact <- 1
gage2basinList <- NULL
if (file.exists(frxstPts)) load(frxstPts)
## Create gage lookup tables
if (!is.null(frxstPts)) {
frxstPts <- subset(frxstPts, frxstPts$gageid!="")
stid2gageList <- as.list(frxstPts$gageid)
names(stid2gageList) <- frxstPts$id
stid2sourceList <- as.list(frxstPts$source)
names(stid2sourceList) <- frxstPts$id
frxstPts$basnids <- strsplit(frxstPts$basnids, split=",")
gage2basinList <- as.list(frxstPts$basnids)
names(gage2basinList) <- frxstPts$gageid
saveList <- c(saveList, "frxstPts", "stid2gageList", "gage2basinList")
}
## Create masks for point obs
if (createAmfMask) {
ptgeo.amf <- GetGeogridIndex(amfMeta, geoFile, id="id_txt")
ptgeo.amf <- subset(ptgeo.amf, !is.na(ptgeo.amf$sn))
saveList <- c(saveList, "ptgeo.amf")
}
if (createSnoMask) {
ptgeo.sno <- GetGeogridIndex(snotelMeta, geoFile, id="site_id")
ptgeo.sno <- subset(ptgeo.sno, !is.na(ptgeo.sno$sn))
saveList <- c(saveList, "ptgeo.sno")
}
if (createMetMask) {
ptgeo.met <- GetGeogridIndex(metSites, geoFile, id="id")
ptgeo.met <- subset(ptgeo.met, !is.na(ptgeo.met$sn))
saveList <- c(saveList, "ptgeo.met")
}
## Create HYDROGRID basin mask objects
if (createBasMask) {
# Initialize - GEO
mskgeo.List <- list()
mskgeo.nameList <- list()
mskgeo.areaList <- list()
mskgeo.minInds <- data.frame(x=integer(0), y=integer(0))
mskgeo.maxInds <- data.frame(x=integer(0), y=integer(0))
mskgeo.countInds <- data.frame(x=integer(0), y=integer(0))
if (aggfact > 1) {
# Initialize - HYDRO
mskhyd.List <- list()
mskhyd.nameList <- list()
mskhyd.areaList <- list()
mskhyd.minInds <- data.frame(x=integer(0), y=integer(0))
mskhyd.maxInds <- data.frame(x=integer(0), y=integer(0))
mskhyd.countInds <- data.frame(x=integer(0), y=integer(0))
}
# Open basn_msk variable
ncid <- tryCatch(suppressWarnings(ncdf4::nc_open(maskFile)),
error=function(cond) {message(cond); return(c())})
if (length(ncid)>0) {
mskvarAll <- ncdf4::ncvar_get(ncid, maskVar)
ncdf4::nc_close(ncid)
} else {
stop("Input mask must be NetCDF format.")
}
mskvarAll[which(is.na(mskvarAll))] <- -9999
if (ns2sn) {
# Reverse y-direction for N->S hydro grids to S->N
mskvarAll <- mskvarAll[,order(ncol(mskvarAll):1)]
}
# Get unique ID list
if (is.null(gage2basinList)) {
mskidList <- na.exclude(unique(c(mskvarAll)))
mskidList <- subset(mskidList, mskidList>=0)
mskidList <- mskidList[order(mskidList)]
gage2basinList <- as.list(mskidList)
names(gage2basinList) <- mskidList
}
# Reverse the list
basin2gageList <- list()
for (i in unique(unlist(gage2basinList))) {
idlist <- c()
for (j in names(gage2basinList)) {
if (i %in% gage2basinList[[j]]) idlist <- c(idlist, j)
}
basin2gageList[[paste0(i)]] <- idlist
saveList <- c(saveList, "basin2gageList")
}
# Loop through basin masks
if (length(gage2basinList) > 0) {
for (i in 1:length(gage2basinList)) {
print(paste0("Basin: ", names(gage2basinList)[i]))
# Subset to basinID
mskvar <- mskvarAll
mskvar[which(!(mskvar %in% gage2basinList[[i]]))] <- 0.0
mskvar[which(mskvar %in% gage2basinList[[i]])] <- 1.0
##Reverse y-direction for N->S hydro grids to S->N
##mskvar <- mskvar[,order(ncol(mskvar):1)]
# Resample the high-res grid to the low-res LSM
if (aggfact > 1) {
# Calculate cell indices
mskhyd.minInds[i,1:2] <- apply(which(mskvar==1, arr.ind=TRUE), MARGIN=2, FUN=min)
mskhyd.maxInds[i,1:2] <- apply(which(mskvar==1, arr.ind=TRUE), MARGIN=2, FUN=max)
mskhyd.countInds[i,1:2] <- mskhyd.maxInds[i,1:2] - mskhyd.minInds[i,1:2] + 1
# Calculate basin area as a cell count
basarea <- sum(mskvar)
mskhyd.List[[i]] <- mskvar[mskhyd.minInds[i,1]:mskhyd.maxInds[i,1], mskhyd.minInds[i,2]:mskhyd.maxInds[i,2]]
mskhyd.nameList[[i]] <- names(gage2basinList)[i]
mskhyd.areaList[[i]] <- basarea
# Resample the high-res grid to the low-res LSM
mskvar <- raster::as.matrix(raster::aggregate(raster::raster(mskvar), fact=aggfact, fun=mean))
}
# Calculate cell indices
mskgeo.minInds[i,1:2] <- apply(which(mskvar>0, arr.ind=TRUE), MARGIN=2, FUN=min)
mskgeo.maxInds[i,1:2] <- apply(which(mskvar>0, arr.ind=TRUE), MARGIN=2, FUN=max)
mskgeo.countInds[i,1:2] <- mskgeo.maxInds[i,1:2] - mskgeo.minInds[i,1:2] + 1
# Calculate basin area as a cell count
basarea <- sum(mskvar)
mskgeo.List[[i]] <- mskvar[mskgeo.minInds[i,1]:mskgeo.maxInds[i,1], mskgeo.minInds[i,2]:mskgeo.maxInds[i,2]]
mskgeo.nameList[[i]] <- names(gage2basinList)[i]
mskgeo.areaList[[i]] <- basarea
}
# Add names/IDs
# HYDRO
if (aggfact > 1) {
names(mskhyd.List) <- unlist(mskhyd.nameList)
names(mskhyd.areaList) <- unlist(mskhyd.nameList)
mskhyd.minInds$id <- unlist(mskhyd.nameList)
mskhyd.maxInds$id <- unlist(mskhyd.nameList)
mskhyd.countInds$id <- unlist(mskhyd.nameList)
saveList <- c(saveList, "mskhyd.nameList", "mskhyd.areaList", "mskhyd.List",
"mskhyd.minInds", "mskhyd.maxInds", "mskhyd.countInds")
}
# GEO
names(mskgeo.List) <- unlist(mskgeo.nameList)
names(mskgeo.areaList) <- unlist(mskgeo.nameList)
mskgeo.minInds$id <- unlist(mskgeo.nameList)
mskgeo.maxInds$id <- unlist(mskgeo.nameList)
mskgeo.countInds$id <- unlist(mskgeo.nameList)
# Add to save object list
saveList <- c(saveList, "mskgeo.nameList", "mskgeo.areaList", "mskgeo.List",
"mskgeo.minInds", "mskgeo.maxInds", "mskgeo.countInds")
} else {
warning("No basins specified in the high-res domain file.")
}
}
if (createRouteLink) {
rtLinks <- GetNcdfFile(rtLinkFile, variables=c("time"), exclude=TRUE, quiet=TRUE)
#rtLinks <- subset(rtLinks, !(stringr::str_trim(rtLinks$gages)==""))
rtLinks$gages <- stringr::str_trim(rtLinks$gages)
saveList <- c(saveList, "rtLinks")
}
# Save all relevant objects
save(list=saveList, file=maskFileOut)
quit(save="no")