View source: R/weather_forecast.R
weather_forecast | R Documentation |
weather_forecast()
calls the Open-Meteo Weather Forecast API to obtain
meteorological forecasts for a given location.
Refer to the API documentation at: https://open-meteo.com/en/docs
weather_forecast(
location,
start = NULL,
end = NULL,
hourly = NULL,
daily = NULL,
response_units = NULL,
model = NULL,
timezone = "auto"
)
location |
Required. The location for which data will be retrieved.
Supplied as either a |
start, end |
Start and end dates in ISO 8601 (e.g. "2020-12-31"). If no dates are supplied, data for the next 7 days will be provided by default. |
hourly, daily |
At least one required. A weather variable accepted by the API, or list thereof. See details below. |
response_units |
Supply to convert temperature, windspeed, or
precipitation units. This defaults to: |
model |
Supply to specify a model for forecasted values (defaults to autoselection of best model). |
timezone |
specify timezone for time data as a string, i.e.
"australia/sydney" (defaults to "auto", the timezone local to the specified
|
You will need to specify at least one weather variable, such as temperature, that you want forecasted data for. These variables are sampled or aggregated at hourly or daily intervals, and can be supplied as a list to request multiple variables over the same time period.
Example Hourly forecast variables include:
Variable | Description |
temperature_2m | Air temperature at 2 meters above ground |
precipitation | Sum of rain, showers, and snow over the preceding hour |
windspeed_10m | Wind speed at 10 meters above ground |
cloudcover | Total cloud cover as an area fraction |
pressure_msl | Atmospheric air pressure at mean sea level |
Example Daily forecast variables include:
Variable | Description |
temperature_2m_max | Maximum daily air temperature at 2 meters above ground |
precipitation_sum | Sum of rain, showers, and snow over the preceding day |
windspeed_10m_max | Maximum daily wind speed at 10 meters above ground |
Full documentation for the forecast API is available at: https://open-meteo.com/en/docs
You can also call weather_variables()
to retrieve an (incomplete) shortlist
of valid hourly and daily weather variables.
Requested weather forecast data for the given location and time, as a tidy tibble.
# obtain temperature forecasts for the South Pole's next 7 days
weather_forecast(c(-90, 0), hourly = "temperature_2m")
# obtain temperature and precipitation forecasts for NYC in Imperial units
weather_forecast("nyc",
hourly = c("temperature_2m", "precipitation"),
response_units = list(
temperature_unit = "fahrenheit",
precipitation_unit = "inch"
)
)
# will it rain tomorrow in Jakarta?
tomorrow <- Sys.Date() + 1
weather_forecast("jakarta", tomorrow, tomorrow, daily = "precipitation_sum")
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