PascalCase aliases for all exported functions for backward compatibility.
Downloads and processes ERA5 climate data for regions defined by GeoJSON files.
Usage
ERA5ifyGeojson(...)
era5ify_geojson(
request_id,
variables,
start_date,
end_date,
json_file,
dataset_type = "single",
pressure_levels = NULL,
frequency = "hourly",
resolution = 0.25,
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
- json_file
Path to GeoJSON file defining the region
- dataset_type
Type of dataset ("single" or "pressure")
- pressure_levels
Pressure levels for pressure dataset
- frequency
Temporal frequency ("hourly", "daily", "monthly")
- resolution
Spatial resolution in degrees (default: 0.25)
- 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_geojson(
request_id = "my_request",
variables = c("2m_temperature", "total_precipitation"),
start_date = "2023-01-01",
end_date = "2023-01-31",
json_file = "region.geojson"
)
# Temperature is in Celsius, precipitation is in mm
} # }