aemet_alerts: AEMET meteorological alerts

In climaemet: Tools for AEMET Climate Data

AEMET meteorological alerts

Description

Get current meteorological alerts.

Usage

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

Arguments

ccaa	Character vector with names for autonomous communities or NULL to get all autonomous communities.
lang	Language of the results. It can be "es" (Spanish) or "en" (English).
verbose	Logical. If TRUE, provides information about the flow of information between the client and server.
return_sf	Logical. If TRUE, the function returns an sf spatial object. If FALSE (the default value), it returns a tibble. The sf package must be installed.
extract_metadata	Logical. If TRUE, the output is a tibble with the description of the fields. See also get_metadata_aemet().
progress	Logical. Displays a cli::cli_progress_bar() object. If verbose = TRUE, it will not be displayed.

Value

A tibble or a sf object.

Source

https://www.aemet.es/en/eltiempo/prediccion/avisos and https://www.aemet.es/es/eltiempo/prediccion/avisos/ayuda for API status and alerts reference, including Annex 2 and Annex 3 documentation.

See Also

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

AEMET data functions: 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 CCAA names.
library(dplyr)
aemet_alert_zones() |>
  select(NOM_CCAA) |>
  distinct()

# 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
)

# Plot if there are alerts.
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"
    ))
}

climaemet documentation built on June 3, 2026, 5:07 p.m.