# Goal of this script is to compare observations with data extracted
# by snaptools functions
# prep daily observed data
prep_daily <- function(fn) {
# only need these vars
vars <- c("DATE","TMIN", "TMIN_ATTRIBUTES")
# better names
bnames <- c("date", "tmin", "tmin_attr")
nome <- fread(fn, select = vars, col.names = bnames)
# convert to correct type and units (m and C) and
# subset to matching time frame
begin <- ymd("1979-01-01")
end <- ymd("1979-12-31")
nome[, ':=' (date = ymd(date), tmin = as.numeric(tmin)/10)]
nome <- nome[date >= begin & date <= end, ]
}
# calculate euclidean distance between two vectors
eudist <- function(x, y) {
sqrt(sum((x - y)^2))
}
library(data.table)
library(lubridate)
devtools::load_all()
fn1 <- "data-raw/Nome_daily.csv"
fn2 <- "data-raw/ _daily.csv"
nome <- prep_daily(fn1)
nc_fn <- "data-raw/t2min_daily_wrf_GFDL-CM3_historical_1979.nc"
nome_coords <- ak_coords[1, ]
# list of nome and surrounding cells
wrf_lst <- list(
nome = wrf_get(nc_fn, nome_coords),
nome_1N = wrf_get(nc_fn, nome_coords, c(0, 1)),
nome_1E = wrf_get(nc_fn, nome_coords, c(1, 0)),
nome_1S = wrf_get(nc_fn, nome_coords, c(0, -1)),
nome_1W = wrf_get(nc_fn, nome_coords, c(-1, 0))
)
out <- lapply(wrf_lst, eudist, nome$tmin)
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