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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> 2025-04-09, 2025-04-10, 2025-04-11, 2025-04-12, 2025-04-0…
#> $ 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> 18.4, 17.6, 14.0, 15.2, 18.6, 18.2, 13.2, 13.8
#> $ prec        <dbl> 0.0, 0.0, 0.4, 3.8, 0.0, 0.0, 11.3, 4.5
#> $ tmin        <dbl> 11.0, 12.8, 10.7, 9.4, 12.6, 13.0, 10.7, 10.8
#> $ horatmin    <time> 05:40:00, 23:59:00, 04:20:00, 04:20:00, 06:50:00, 05:20:00…
#> $ tmax        <dbl> 25.8, 22.4, 17.4, 21.0, 24.6, 23.5, 15.7, 16.7
#> $ horatmax    <time> 16:20:00, 15:20:00, 15:40:00, 15:10:00, 15:10:00, 13:40:00…
#> $ dir         <chr> "24", "14", "14", "20", "10", "32", "05", "04"
#> $ velmedia    <dbl> 1.4, 4.4, 3.9, 4.2, 2.2, 3.6, 2.5, 1.7
#> $ racha       <dbl> 8.6, 10.3, 11.7, 10.3, 6.7, 10.6, 8.1, 6.4
#> $ horaracha   <time> 20:10:00, 18:00:00, 16:50:00, 17:50:00, 04:00:00, 17:00:00…
#> $ sol         <dbl> 12.1, 5.6, 0.1, 6.0, NA, NA, NA, NA
#> $ presMax     <dbl> 989.4, 990.3, 990.2, 983.6, 941.6, 941.0, 940.7, 935.0
#> $ horaPresMax <chr> "00", "10", "00", "00", "01", "24", "00", "00"
#> $ presMin     <dbl> 983.7, 987.1, 983.4, 977.6, 936.9, 937.2, 933.6, 931.5
#> $ horaPresMin <chr> "18", "Varias", "23", "16", "18", "16", "17", "16"
#> $ hrMedia     <dbl> 62, 68, 80, 77, 40, 49, 75, 85
#> $ hrMax       <dbl> 93, 91, 93, 98, 61, 68, 96, 98
#> $ horaHrMax   <chr> "Varias", "06:30", "05:50", "Varias", "04:00", "05:10", "2…
#> $ hrMin       <dbl> 31, 49, 59, 53, 25, 34, 62, 75
#> $ horaHrMin   <chr> "16:40", "15:20", "16:40", "Varias", "Varias", "11:40", "…

# 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…