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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> 2024-11-20, 2024-11-21, 2024-11-22, 2024-11-23, 2024-11-2…
#> $ 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> 14.2, 14.6, 9.5, 8.3, 12.6, 10.8, 12.4, 11.2
#> $ prec        <dbl> 0.0, 1.4, 0.0, 0.0, 0.0, 0.0, 0.4, 0.0
#> $ tmin        <dbl> 10.0, 10.3, 5.3, 3.8, 8.6, 8.5, 9.6, 8.0
#> $ horatmin    <time> 02:20:00, 01:10:00, 23:50:00, 03:50:00, 07:20:00, 06:10:00…
#> $ tmax        <dbl> 18.4, 18.9, 13.7, 12.8, 16.5, 13.2, 15.3, 14.3
#> $ horatmax    <time> 13:00:00, 12:50:00, 00:00:00, 14:50:00, 14:40:00, 15:00:00…
#> $ dir         <chr> "30", "28", "31", "12", "28", "26", "25", "05"
#> $ velmedia    <dbl> 4.4, 12.5, 6.1, 3.1, 2.2, 3.3, 1.7, 1.1
#> $ racha       <dbl> 11.1, 22.2, 15.6, 8.6, 10.3, 12.5, 11.1, 4.2
#> $ horaracha   <time> 13:10:00, 13:20:00, 13:30:00, 12:30:00, 10:20:00, 13:00:00…
#> $ sol         <dbl> 6.0, 2.6, 7.6, 4.9, NA, NA, NA, NA
#> $ presMax     <dbl> 986.8, 985.1, 993.6, 995.2, 942.9, 941.4, 944.1, 945.8
#> $ horaPresMax <chr> "09", "00", "22", "10", "11", "00", "23", "10"
#> $ presMin     <dbl> 984.9, 975.9, 977.2, 992.8, 940.7, 935.1, 934.9, 943.4
#> $ horaPresMin <chr> "14", "Varias", "00", "16", "04", "24", "01", "01"
#> $ hrMedia     <dbl> 62, 52, 62, 78, 65, 82, 72, 87
#> $ hrMax       <dbl> 87, 89, 96, 92, 95, 93, 91, 95
#> $ horaHrMax   <chr> "00:00", "23:59", "00:30", "23:59", "03:50", "Varias", "06…
#> $ hrMin       <dbl> 47, 44, 47, 64, 47, 65, 47, 61
#> $ horaHrMin   <time> 12:50:00, 13:00:00, 15:20:00, 11:40:00, 14:50:00, 00:10:0…

# 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…