Daily/annual climatology values

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().

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 3s for retry backoff ■■■■■■■■■■■■                    
#> Waiting 3s for retry backoff ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■  
#> Waiting 3s for retry backoff ■■■■■■■■■■■■■■■                 
#> Waiting 3s for retry backoff ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■ 
#> Waiting 16s for retry backoff ■■■                             
#> Waiting 16s for retry backoff ■■■■■■                          
#> Waiting 16s for retry backoff ■■■■■■■■■■■■                    
#> Waiting 16s for retry backoff ■■■■■■■■■■■■■■■■■               
#> Waiting 16s for retry backoff ■■■■■■■■■■■■■■■■■■■■■■■         
#> Waiting 16s for retry backoff ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■   
#> Waiting 16s for retry backoff ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■ 
glimpse(obs)
#> Rows: 8
#> Columns: 25
#> $ fecha       <date> 2025-06-10, 2025-06-11, 2025-06-12, 2025-06-13, 2025-06-1…
#> $ 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> 30.1, 27.8, 26.6, 28.1, 27.0, 24.0, 22.4, 24.5
#> $ prec        <dbl> 0.0, 0.0, 0.0, 3.6, 0.1, 17.8, NA, 0.0
#> $ tmin        <dbl> 20.9, 21.6, 17.9, 20.8, 20.4, 17.7, 15.4, 17.6
#> $ horatmin    <time> 04:50:00, 23:50:00, 04:50:00, 04:50:00, 05:50:00, 23:59:00…
#> $ tmax        <dbl> 39.3, 34.1, 35.3, 35.4, 33.7, 30.3, 29.4, 31.4
#> $ horatmax    <time> 15:50:00, 17:20:00, 17:00:00, 14:00:00, 13:20:00, 14:20:00…
#> $ dir         <chr> "28", "31", "14", "99", "11", "04", "06", "04"
#> $ velmedia    <dbl> 3.1, 3.6, 1.4, 5.3, 1.4, 1.7, 1.7, 1.7
#> $ racha       <dbl> 13.3, 13.3, 6.9, 11.7, 8.3, 12.5, 6.9, 6.9
#> $ horaracha   <chr> "19:00", "21:40", "21:00", "Varias", "13:20", "00:50", "14…
#> $ sol         <dbl> 11.3, 6.1, 13.8, 9.4, NA, NA, NA, NA
#> $ presMax     <dbl> 989.7, 987.4, 984.9, 987.9, 943.9, 942.6, 938.9, 940.9
#> $ horaPresMax <chr> "00", "00", "24", "20", "00", "01", "Varias", "23"
#> $ presMin     <dbl> 985.1, 980.0, 981.7, 982.8, 939.4, 934.4, 936.6, 938.3
#> $ horaPresMin <chr> "16", "18", "17", "16", "24", "19", "03", "Varias"
#> $ hrMedia     <dbl> 39, 36, 39, 56, 39, 66, 53, 34
#> $ hrMax       <dbl> 79, 68, 81, 79, 74, 99, 99, 63
#> $ horaHrMax   <time> 05:00:00, 05:20:00, 05:20:00, 20:00:00, 06:10:00, 19:30:00…
#> $ hrMin       <dbl> 18, 23, 22, 33, 25, 35, 27, 24
#> $ horaHrMin   <time> 15:50:00, 16:00:00, 17:30:00, 14:00:00, 15:40:00, 13:40:0…

# 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…