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Daily/annual climatology values

Source: R/aemet-daily.R
aemet_daily.Rd

Get climatology values for a station or for all the available stations. Note that aemet_daily_period() and aemet_daily_period_all() are shortcuts of aemet_daily_clim().

Usage

aemet_daily_clim(
  station = "all",
  start = Sys.Date() - 7,
  end = Sys.Date(),
  verbose = FALSE,
  return_sf = FALSE,
  extract_metadata = FALSE,
  progress = TRUE
)

aemet_daily_period(
  station,
  start = as.integer(format(Sys.Date(), "%Y")),
  end = start,
  verbose = FALSE,
  return_sf = FALSE,
  extract_metadata = FALSE,
  progress = TRUE
)

aemet_daily_period_all(
  start = as.integer(format(Sys.Date(), "%Y")),
  end = start,
  verbose = FALSE,
  return_sf = FALSE,
  extract_metadata = FALSE,
  progress = TRUE
)

Arguments

station

Character string with station identifier code(s) (see aemet_stations()) or "all" for all the stations.

start, end

Character string with start and end date. See Details.

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.

Details

start and end parameters should be:

  • For aemet_daily_clim(): A Date object or a string with format: YYYY-MM-DD ("2020-12-31") coercible with as.Date().

  • For aemet_daily_period() and aemet_daily_period_all(): A string representing the year(s) to be extracted: "2020", "2018".

API Key

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

See also

aemet_api_key(), as.Date()

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

Examples


library(tibble)
obs <- aemet_daily_clim(c("9434", "3195"))
glimpse(obs)
#> Rows: 8
#> Columns: 25
#> $ fecha       <date> 2026-01-28, 2026-01-29, 2026-01-30, 2026-01-31, 2026-01-2…
#> $ indicativo  <chr> "9434", "9434", "9434", "9434", "3195", "3195", "3195", "3…
#> $ nombre      <chr> "ZARAGOZA, AEROPUERTO", "ZARAGOZA, AEROPUERTO", "ZARAGOZA,…
#> $ provincia   <chr> "ZARAGOZA", "ZARAGOZA", "ZARAGOZA", "ZARAGOZA", "MADRID", …
#> $ altitud     <dbl> 249, 249, 249, 249, 667, 667, 667, 667
#> $ tmed        <dbl> 6.0, 9.4, 9.2, 8.2, 5.0, 9.6, 7.8, 7.9
#> $ prec        <dbl> 3.0, 0.8, 1.4, 0.2, 15.3, 6.8, 2.2, 0.0
#> $ tmin        <dbl> 4.3, 5.9, 4.7, 4.0, 0.8, 6.1, 5.3, 4.9
#> $ horatmin    <chr> "07:20", "Varias", "07:20", "07:40", "09:50", "03:00", "23…
#> $ tmax        <dbl> 7.6, 12.9, 13.8, 12.3, 9.3, 13.2, 10.4, 10.9
#> $ horatmax    <time> 00:00:00, 21:50:00, 12:50:00, 16:10:00, 14:30:00, 16:20:00…
#> $ dir         <chr> "30", "28", "28", "33", "30", "06", "07", "28"
#> $ velmedia    <dbl> 1.4, 2.5, 3.9, 3.9, 3.6, 2.2, 2.2, 3.6
#> $ racha       <dbl> 11.4, 15.0, 17.8, 16.1, 15.6, 13.6, 15.6, 12.8
#> $ horaracha   <time> 00:50:00, 21:30:00, 23:00:00, 01:10:00, 13:50:00, 16:10:00…
#> $ sol         <dbl> 0.2, 1.4, 1.8, 6.3, NA, NA, NA, NA
#> $ presMax     <dbl> 973.0, 974.0, 978.4, 985.3, 927.5, 932.4, 934.1, 939.6
#> $ horaPresMax <chr> "23", "24", "09", "21", "23", "23", "Varias", "21"
#> $ presMin     <dbl> 965.0, 970.2, 968.9, 969.2, 913.0, 924.4, 925.1, 929.4
#> $ horaPresMin <chr> "10", "14", "23", "00", "10", "05", "19", "00"
#> $ hrMedia     <dbl> 83, 93, 72, 70, 81, 92, 86, 58
#> $ hrMax       <dbl> 93, 97, 89, 86, 99, 99, 96, 88
#> $ horaHrMax   <chr> "19:30", "07:40", "07:40", "02:30", "Varias", "Varias", "V…
#> $ hrMin       <dbl> 59, 63, 53, 56, 57, 64, 62, 43
#> $ horaHrMin   <chr> "00:30", "Varias", "12:30", "15:00", "16:00", "16:20", "23…

# Metadata
meta <- aemet_daily_clim(c("9434", "3195"), extract_metadata = TRUE)

glimpse(meta$campos)
#> Rows: 25
#> Columns: 5
#> $ id          <chr> "fecha", "indicativo", "nombre", "provincia", "altitud", "…
#> $ descripcion <chr> "fecha del dia (AAAA-MM-DD)", "indicativo climatológico", …
#> $ tipo_datos  <chr> "string", "string", "string", "string", "float", "float", …
#> $ requerido   <lgl> TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE, …
#> $ unidad      <chr> NA, NA, NA, NA, "m", "°C", "mm (Ip = inferior a 0,1 mm) (A…