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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"))
#> HTTP 429: Límite de peticiones o caudal por minuto excedido para este usuario. Espere al siguiente minuto. Retrying...
#> Waiting 4s for retry backoff ■■■■■■■■■■                      
#> Waiting 4s for retry backoff ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■  
#> Waiting 7s for retry backoff ■■■■■                           
#> Waiting 7s for retry backoff ■■■■■■■■■■■■■                   
#> Waiting 7s for retry backoff ■■■■■■■■■■■■■■■■■■■■■■■■■■■     
#> Waiting 7s for retry backoff ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■ 
#> Waiting 8s for retry backoff ■■■■■■■                         
#> Waiting 8s for retry backoff ■■■■■■■■■■■■■■■■■■■■            
#> Waiting 8s for retry backoff ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■ 
glimpse(obs)
#> Rows: 8
#> Columns: 25
#> $ fecha       <date> 2025-11-26, 2025-11-27, 2025-11-28, 2025-11-29, 2025-11-2…
#> $ 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> 8.0, 10.8, 10.3, 7.4, NA, NA, NA, NA
#> $ prec        <dbl> 0.0, 0.0, 0.0, 0.8, 0.0, 0.0, 0.0, 3.3
#> $ tmin        <dbl> 5.0, 6.0, 5.5, 1.9, NA, NA, NA, NA
#> $ horatmin    <time> 07:20:00, 03:40:00, 23:59:00, 06:50:00,       NA,       NA…
#> $ tmax        <dbl> 11.1, 15.5, 15.1, 12.9, NA, NA, NA, NA
#> $ horatmax    <time> 14:20:00, 14:10:00, 14:50:00, 14:30:00,       NA,       NA…
#> $ dir         <chr> "31", "32", "24", "24", "11", "06", "03", "03"
#> $ velmedia    <dbl> 8.9, 7.8, 4.2, 1.7, 1.1, 0.3, 0.8, 1.1
#> $ racha       <dbl> 15.8, 16.9, 10.0, 5.0, 7.2, 3.6, 5.0, 6.7
#> $ horaracha   <time> 12:10:00, 10:30:00, 03:10:00, 17:50:00, 15:40:00, 13:10:00…
#> $ sol         <dbl> 9.0, 9.1, 8.6, 7.5, NA, NA, NA, NA
#> $ presMax     <dbl> 993.1, 992.4, 991.8, 989.5, 946.4, 945.8, 944.8, 941.9
#> $ horaPresMax <chr> "10", "00", "00", "00", "10", "02", "10", "00"
#> $ presMin     <dbl> 989.6, 990.0, 989.0, 982.7, 943.1, 943.1, 941.5, 936.2
#> $ horaPresMin <chr> "Varias", "14", "15", "22", "00", "15", "16", "24"
#> $ hrMedia     <dbl> 68, 65, 71, 78, NA, NA, NA, NA
#> $ hrMax       <dbl> 89, 81, 88, 95, NA, NA, NA, NA
#> $ horaHrMax   <chr> "02:30", "23:10", "Varias", "07:30", NA, NA, NA, NA
#> $ hrMin       <dbl> 49, 50, 53, 59, NA, NA, NA, NA
#> $ horaHrMin   <chr> "14:00", "13:30", "Varias", "14:30", NA, NA, 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…