AEMET Meteorological warnings

Get a database of current meteorological alerts.

Usage

aemet_alerts(
  ccaa = NULL,
  lang = c("es", "en"),
  verbose = FALSE,
  return_sf = FALSE,
  extract_metadata = FALSE,
  progress = TRUE
)

Source

https://www.aemet.es/en/eltiempo/prediccion/avisos.

https://www.aemet.es/es/eltiempo/prediccion/avisos/ayuda. See also Annex 2 and Annex 3 docs, linked in this page.

Arguments

ccaa

A vector of names for autonomous communities or NULL to get all the autonomous communities.

lang

Language of the results. It can be "es" (Spanish) or "en" (English).

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.

See also

aemet_alert_zones(). See also mapSpain::esp_codelist, mapSpain::esp_dict_region_code() to get the names of the autonomous communities.

Other aemet_api_data: aemet_alert_zones(), aemet_beaches(), aemet_daily_clim(), aemet_extremes_clim(), aemet_forecast_beaches(), aemet_forecast_daily(), aemet_forecast_fires(), aemet_last_obs(), aemet_monthly, aemet_normal, aemet_stations()

Examples

# Display names of CCAAs
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
aemet_alert_zones() %>%
  select(NOM_CCAA) %>%
  distinct()
#> # A tibble: 19 × 1
#>    NOM_CCAA                  
#>    <chr>                     
#>  1 Andalucía                 
#>  2 Aragón                    
#>  3 Principado de Asturias    
#>  4 Illes Balears             
#>  5 Canarias                  
#>  6 Cantabria                 
#>  7 Castilla y León           
#>  8 Castilla - La Mancha      
#>  9 Cataluña                  
#> 10 Extremadura               
#> 11 Galicia                   
#> 12 Comunidad de Madrid       
#> 13 Región de Murcia          
#> 14 Comunidad Foral de Navarra
#> 15 País Vasco                
#> 16 La Rioja                  
#> 17 Comunitat Valenciana      
#> 18 Ciudad de Ceuta           
#> 19 Ciudad de Melilla         

# Base map
cbasemap <- mapSpain::esp_get_ccaa(ccaa = c(
  "Galicia", "Asturias", "Cantabria",
  "Euskadi"
))

# Alerts
alerts_north <- aemet_alerts(
  ccaa = c("Galicia", "Asturias", "Cantabria", "Euskadi"),
  return_sf = TRUE
)
#> No upcoming alerts for ccaas selected

# If any alert
if (inherits(alerts_north, "sf")) {
  library(ggplot2)
  library(lubridate)


  alerts_north$day <- date(alerts_north$effective)

  ggplot(alerts_north) +
    geom_sf(data = cbasemap, fill = "grey60") +
    geom_sf(aes(fill = `AEMET-Meteoalerta nivel`)) +
    geom_sf(
      data = cbasemap, fill = "transparent", color = "black",
      linewidth = 0.5
    ) +
    facet_grid(vars(`AEMET-Meteoalerta fenomeno`), vars(day)) +
    scale_fill_manual(values = c(
      "amarillo" = "yellow", naranja = "orange",
      "rojo" = "red"
    ))
}