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Extreme values for a station

Source: R/aemet_extremes.R
aemet_extremes_clim.Rd

Get recorded extreme values for a station.

Usage

aemet_extremes_clim(
  station = NULL,
  parameter = "T",
  verbose = FALSE,
  return_sf = FALSE,
  extract_metadata = FALSE,
  progress = TRUE
)

Arguments

station

Character string with station identifier code(s) (see aemet_stations()).

parameter

Character string as temperature ("T"), precipitation ("P") or wind ("V") parameter.

verbose

Logical TRUE/FALSE. Provides information about the flow of information between the client and server.

return_sf

Logical TRUE or FALSE. Should the function return an sf spatial object? If FALSE (the default value) it returns a tibble. Note that you need to have the sf package installed.

extract_metadata

Logical TRUE/FALSE. On TRUE the output is a tibble with the description of the fields. See also get_metadata_aemet().

progress

Logical, display a cli::cli_progress_bar() object. If verbose = TRUE won't be displayed.

Value

A tibble or a sf object. If the function finds an error when parsing it would return the result as a list() object.

API Key

You need to set your API Key globally using aemet_api_key().

See also

aemet_api_key()

Other aemet_api_data: aemet_alert_zones(), aemet_alerts(), aemet_beaches(), aemet_daily_clim(), aemet_forecast_beaches(), aemet_forecast_daily(), aemet_forecast_fires(), aemet_last_obs(), aemet_monthly, aemet_normal, aemet_stations()

Examples

library(tibble)
obs <- aemet_extremes_clim(c("9434", "3195"))
glimpse(obs)
#> Rows: 26
#> Columns: 24
#> $ indicativo  <chr> "9434", "9434", "9434", "9434", "9434", "9434", "9434", "9…
#> $ nombre      <chr> "ZARAGOZA, AEROPUERTO", "ZARAGOZA, AEROPUERTO", "ZARAGOZA,…
#> $ ubicacion   <chr> "ZARAGOZA", "ZARAGOZA", "ZARAGOZA", "ZARAGOZA", "ZARAGOZA"…
#> $ codigo      <chr> "023000", "023000", "023000", "023000", "023000", "023000"…
#> $ temMin      <dbl> -104, -114, -63, -24, 5, 52, 80, 84, 48, 6, -56, -95, -114…
#> $ diaMin      <dbl> 4, 5, 9, 3, 4, 11, 18, 17, 30, 25, 22, 25, 5, 16, 12, 1, 1…
#> $ anioMin     <dbl> 1971, 1963, 1964, 1967, 1967, 1971, 1965, 1968, 1974, 1974…
#> $ mesMin      <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1…
#> $ temMax      <dbl> 206, 255, 287, 324, 365, 432, 445, 428, 392, 339, 284, 220…
#> $ diaMax      <dbl> 8, 27, 13, 9, 29, 29, 7, 26, 16, 1, 9, 8, 7, 27, 28, 30, 2…
#> $ anioMax     <dbl> 2016, 2019, 2023, 2011, 2001, 2019, 2015, 2010, 1964, 2023…
#> $ mesMax      <dbl> 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 8, 8…
#> $ temMedBaja  <dbl> 29, 15, 71, 104, 132, 182, 213, 216, 169, 117, 73, 32, 15,…
#> $ anioMedBaja <dbl> 1953, 1956, 1971, 1986, 1984, 1953, 1977, 1977, 1972, 1974…
#> $ mesMedBaja  <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2…
#> $ temMedAlta  <dbl> 97, 121, 147, 174, 216, 267, 282, 282, 241, 203, 138, 101,…
#> $ anioMedAlta <dbl> 2016, 1990, 2023, 2014, 2022, 2022, 2015, 2022, 1987, 2022…
#> $ mesMedAlta  <dbl> 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 7, 7, 7, 7, 7, 7, 7…
#> $ temMedMin   <dbl> -12, -30, 19, 54, 85, 126, 150, 151, 110, 72, 27, -21, -30…
#> $ anioMedMin  <dbl> 1957, 1956, 1973, 1970, 1984, 1969, 1954, 1954, 1965, 1974…
#> $ mesMedMin   <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2…
#> $ temMedMax   <dbl> 135, 180, 211, 240, 282, 339, 358, 355, 307, 256, 187, 137…
#> $ anioMedMax  <dbl> 2016, 1990, 2023, 2023, 2022, 2022, 2015, 2003, 1987, 2023…
#> $ mesMedMax   <dbl> 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7…