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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> 2025-10-29, 2025-10-30, 2025-10-31, 2025-11-01, 2025-10-2…
#> $ 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> 13.5, 17.7, 17.1, 17.1, NA, NA, NA, NA
#> $ prec        <dbl> 0.6, 0.0, 0.0, 0.0, 3.7, 0.1, 0.0, 0.0
#> $ tmin        <dbl> 10.9, 11.6, 11.8, 12.1, NA, NA, NA, NA
#> $ horatmin    <time> 00:40:00, 06:40:00, 04:30:00, 06:10:00,       NA,       NA…
#> $ tmax        <dbl> 16.1, 23.8, 22.4, 22.1, NA, NA, NA, NA
#> $ horatmax    <time> 14:40:00, 15:10:00, 14:00:00, 14:40:00,       NA,       NA…
#> $ dir         <chr> "12", "27", "21", "22", "99", "06", "05", "07"
#> $ velmedia    <dbl> 2.2, 3.6, 2.5, 4.4, 0.0, 1.4, 1.4, 1.7
#> $ racha       <dbl> 6.1, 8.1, 9.4, 11.9, 5.6, 5.6, 4.2, 8.6
#> $ horaracha   <time> 08:40:00, 13:00:00, 12:50:00, 20:00:00, 00:50:00, 15:40:00…
#> $ sol         <dbl> 0.1, 9.7, 3.2, 1.1, NA, NA, NA, NA
#> $ presMax     <dbl> 982.6, 983.9, 986.3, 987.9, 935.2, 938.8, 940.0, 943.1
#> $ horaPresMax <chr> "00", "22", "10", "11", "00", "23", "Varias", "23"
#> $ presMin     <dbl> 977.5, 980.8, 983.6, 985.1, 930.8, 934.9, 938.0, 939.2
#> $ horaPresMin <chr> "17", "15", "01", "02", "16", "00", "06", "Varias"
#> $ hrMedia     <dbl> 94, 65, 64, 66, NA, NA, NA, NA
#> $ hrMax       <dbl> 99, 97, 89, 90, NA, NA, NA, NA
#> $ horaHrMax   <chr> "Varias", "00:00", "03:40", "05:30", NA, NA, NA, NA
#> $ hrMin       <dbl> 74, 39, 43, 49, NA, NA, NA, NA
#> $ horaHrMin   <time> 00:00:00, 15:10:00, 13:40:00, 13:40:00,       NA,       NA…

# 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…