Download point-level climate projections using open-meteo API — get_climate

Returns daily climate projections from high-resolution CMIP6 models covering 1950–2050. Use daily_to_hourly() to downscale to hourly resolution.

Usage

get_climate_projections(
  latitude,
  longitude,
  site_id = NULL,
  start_date,
  end_date,
  model = "EC_Earth3P_HR",
  variables = c("temperature_2m_mean")
)

Arguments

latitude: latitude in decimal degrees north
longitude: longitude in decimal degrees east
site_id: optional site label added to output; defaults to "latitude_longitude"
start_date: start of the date range (ISO format "YYYY-MM-DD"). Data available from 1950-01-01.
end_date: end of the date range (ISO format "YYYY-MM-DD"). Projections available through 2050-12-31.
model: climate model id. Default "EC_Earth3P_HR". All seven models: "CMCC_CM2_VHR4", "FGOALS_f3_H", "HiRAM_SIT_HR", "MRI_AGCM3_2_S", "EC_Earth3P_HR", "MPI_ESM1_2_XR", "NICAM16_8S". See https://open-meteo.com/en/docs/climate-api for details.
variables: character vector of daily variable names (use _mean, _max, _min, or _sum suffixes as appropriate, e.g. "temperature_2m_mean"). See https://open-meteo.com/en/docs/climate-api for the full list.

Value

data frame in long format with columns: datetime, site_id, model_id, variable, prediction, unit. Output is at daily resolution.

Examples

if (FALSE) { # interactive()

get_climate_projections(
latitude = 37.30,
longitude = -79.83,
start_date = Sys.Date(),
end_date = Sys.Date() + lubridate::years(1),
model = "EC_Earth3P_HR",
variables = c("temperature_2m_mean"))
}