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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 arguments 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> 2026-05-06, 2026-05-07, 2026-05-08, 2026-05-09, 2026-05-0…
#> $ 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> 14.4, 15.0, 16.1, 16.6, 14.2, 14.6, 13.6, 13.2
#> $ prec        <dbl> 0.0, 3.8, 0.0, 0.4, 0.0, 10.8, 3.6, 12.5
#> $ tmin        <dbl> 8.1, 9.1, 10.1, 13.1, 8.6, 10.8, 10.0, 10.7
#> $ horatmin    <chr> "05:00", "05:00", "04:20", "03:40", "06:10", "23:59", "04:…
#> $ tmax        <dbl> 20.7, 20.9, 22.1, 20.1, 19.7, 18.3, 17.2, 15.7
#> $ horatmax    <time> 14:50:00, 12:20:00, 15:20:00, 17:00:00, 15:00:00, 11:40:00…
#> $ dir         <chr> "30", "24", "12", "12", "99", "34", "15", "09"
#> $ velmedia    <dbl> 3.1, 2.5, 4.2, 5.3, 1.9, 3.3, 1.4, 2.8
#> $ racha       <dbl> 10.6, 11.7, 11.7, 11.4, 5.6, 10.0, 7.5, 15.3
#> $ horaracha   <chr> "11:30", "14:40", "16:10", "13:40", "Varias", "13:20", "15…
#> $ sol         <dbl> 13.8, 5.9, 5.2, 2.2, NA, NA, NA, NA
#> $ presMax     <dbl> 984.1, 983.7, 983.4, 983.0, 935.6, 935.2, 934.7, 935.3
#> $ horaPresMax <chr> "07", "07", "08", "00", "Varias", "22", "00", "23"
#> $ presMin     <dbl> 981.0, 980.4, 979.8, 979.4, 932.0, 932.1, 932.0, 931.3
#> $ horaPresMin <chr> "Varias", "16", "16", "17", "18", "16", "18", "Varias"
#> $ hrMedia     <dbl> 51, 70, 70, 76, 43, 76, 75, 91
#> $ hrMax       <dbl> 89, 94, 97, 91, 78, 95, 96, 97
#> $ horaHrMax   <chr> "05:00", "23:59", "03:30", "Varias", "06:00", "15:30", "10…
#> $ hrMin       <dbl> 34, 45, 43, 55, 25, 45, 54, 73
#> $ horaHrMin   <chr> "14:20", "12:30", "15:20", "16:50", "Varias", "00:00", "17…

# 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…