Usage

ERA5ifyPoint(...)

era5ify_point(
  request_id,
  variables,
  start_date,
  end_date,
  lat,
  lon,
  dataset_type = "single",
  pressure_levels = NULL,
  frequency = "hourly",
  save_raw = FALSE,
  output_dir = tempdir(),
  use_cache = TRUE,
  convert_units = TRUE,
  verbose = FALSE
)

Arguments

...: Arguments passed to the main function (used by aliases).
request_id: Unique identifier for the data request.
variables: List of ERA5 variables to download.
start_date: Start date in "YYYY-MM-DD" format.
end_date: End date in "YYYY-MM-DD" format.
lat: Latitude of the point location.
lon: Longitude of the point location.
dataset_type: Type of dataset ("single" or "pressure").
pressure_levels: Pressure levels for pressure dataset.
frequency: Temporal frequency ("hourly", "daily", "monthly").
save_raw: Whether to save raw downloaded files.
output_dir: Directory to save files (default: tempdir()).
use_cache: Whether to use cached data if available (default: TRUE).
convert_units: Whether to convert units to user-friendly formats (default: TRUE). When TRUE, temperature variables are returned in Celsius (converted from Kelvin) and precipitation variables are returned in mm (converted from meters).
verbose: Whether to print detailed progress messages.

Value

data.frame with processed climate data. When convert_units = TRUE:

Temperature variables (e.g., 2m_temperature): Celsius
Precipitation variables (e.g., total_precipitation): mm
Other variables: original ERA5 units

Examples

if (FALSE) { # \dontrun{
setup_cds_credentials(key = "your-cds-api-key")

data <- era5ify_point(
  request_id = "my_request",
  variables = c("2m_temperature", "total_precipitation"),
  start_date = "2023-01-01",
  end_date = "2023-01-31",
  lat = 40.7128,
  lon = -74.0060
)
# Temperature is in Celsius, precipitation is in mm
} # }

ERA5 data download and processing for point locations

Usage

Arguments

Value

Examples