library(ecmwfr)
library(daymetr)
library(terra)
source("R/pr_fm_daymet_tiles.R")
source("R/pr_flatten.R")
source("R/pr_predict.R")
source("R/phenology_models.R")
source("R/helper_functions.R")
# download_daymet_tiles(
# tiles = 11935,
# start = 1980,
# end = 1981,
# param = c("tmin","tmax"),
# path = "~/Downloads/"
# )
# daymet_grid_tmean(
# path = "~/Downloads/",
# product = 11935,
# year = 1980,
# internal = FALSE
# )
#
# daymet_grid_tmean(
# path = "~/Downloads/",
# product = 11935,
# year = 1981,
# internal = FALSE
# )
# drivers <- pr_fm_daymet_tiles(
# path = "~/Downloads/",
# tile = 11935,
# year = 1981,
# offset = 264,
# internal = TRUE
# )
#
# set.seed(1234)
# optim.par <- pr_fit(
# data = phenocam_DB,
# cost = rmse,
# model = "TT",
# method = "GenSA"
# )
output <- pr_predict(
optim.par$par,
data = drivers,
model = "TT"
)
terra::plot(output)
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