library(tidync)
library(sf)
# ERA filepath
era_file <- get_filename()
# get us state boundaries
us_map <- maps::map("state", plot = F, fill = T)
# Save era data as tibble and add date information
precip_tibble <- tidync(era_file) %>%
hyper_tibble() %>%
dplyr::mutate(lon = ifelse(lon>180,lon-360,lon))%>%
mutate(calendar_year = as.Date(time, origin = "1979-1-1"))
# convert us map to sf object
us_polygon <- sf::st_as_sf(us_map)
# converts points to a geometry column
era_points_as_sf <- sf::st_as_sf(precip_tibble,
coords = c("lon", "lat"),
crs = sf::st_crs(us_polygon))
# Takes around 30 min to run
# joins with state information
joined_us_states <- sf::st_join(era_points_as_sf, us_polygon) %>%
filter(!is.na(ID))
# save as .rds
rds_filename <- "~/CliMates/Output/era_states/full_era.rds"
readr::write_rds(joined_us_states, rds_filename)
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