View source: R/climate_forecast.R
climate_forecast | R Documentation |
climate_forecast()
calls the Open-Meteo Climate Change Forecast API to
obtain long-range weather projections from a range of climate models.
Refer to the API documentation at: https://open-meteo.com/en/docs/climate-api
climate_forecast(
location,
start,
end,
daily = NULL,
response_units = NULL,
model = NULL,
downscaling = TRUE,
timezone = "auto"
)
location |
Required. The location for which data will be retrieved.
Supplied as either a |
start, end |
Required. Future start and end dates in ISO 8601 (e.g. "2020-12-31"). |
daily |
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 climate model for forecasted values (refer to the API documentation). |
downscaling |
Enable (default) or disable statistical downscaling with ERA5-Land (10 km). |
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 projected forecasts for. The models currently only provide weather data aggregated at daily intervals. Multiple variables can be supplied as a list.
Example daily climate 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 |
Different climate change models can be specified, which may differ in the weather variables predicted. Models include:
Model | Origin | Resolution |
EC_Earth3P_HR | Europe | 29 km |
FGOALS_f3_H | China | 28 km |
MRI_AGCM3_2_S | Japan | 20 km |
For all models and their available fields, refer to the full documentation for the climate API at: https://open-meteo.com/en/docs/climate-api
Requested climate forecast data for the given location and time period, as a tidy tibble.
# Obtain projected precipitation for the North Pole in 2050
climate_forecast(c(90, 0),
"2050-06-01", "2050-07-01",
daily = "precipitation_sum"
)
# Obtain projected temperatures for Madrid in 2050 in Fahrenheit, with ESMI1
climate_forecast("Madrid",
"2050-06-01", "2050-07-01",
daily = "temperature_2m_max",
model = "MPI_ESM1_2_XR",
response_units = list(temperature_unit = "fahrenheit")
)
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