Process and Format Climate Data for Modeling

Reads and processes daily temperature and rainfall data, applies smoothing, standardizes rainfall, aligns dates, and optionally transforms the data to use 30-day months. Returns a clean climate dataset ready for use in modeling workflows.

Usage

process_climate_data(
  lon,
  lat,
  years,
  temp_path,
  rain_path,
  months_30_days = TRUE,
  save = FALSE,
  path_to_data = NULL
)

Arguments

lon

Numeric. Longitude coordinate for the location of interest.

lat

Numeric. Latitude coordinate for the location of interest.

years

Integer vector. Years to include in the climate dataset.

temp_path

Character. Path to the saved ERA5 temperature data file (NetCDF format).

rain_path

Character. Path to the saved CHIRPS rainfall data file (RDS format).

months_30_days

Logical. If TRUE (default), transforms calendar months into uniform 30-day months.

save

Logical. If TRUE, saves the processed data as an RDS file (default is FALSE).

path_to_data

Character. Directory where the processed climate data will be saved (required if save = TRUE).

Value

A data frame with daily or monthly climate data including standardized rainfall and smoothed temperature.

Examples

if (FALSE) { # \dontrun{
years <- 2014:2023
lon <- 17.9
lat <- 8.3
path_to_data <- "C:/Users/putnni/Documents/r-packages/data/"
save_climate_data(lon, lat, years, path_to_data)
temp_path <- paste0(path_to_data, "era5_11051417.nc")
rain_path <- paste0(path_to_data, "chirps_11051418.rds")
met <- process_climate_data(lon, lat, years, D1 = 30, D2 = 30, temp_path = temp_path,
rain_path = rain_path, path_to_data)
} # }