Retrieves the latest observations for one or more weather stations.
Usage
aemet_last_obs(
station = "all",
verbose = FALSE,
return_sf = FALSE,
extract_metadata = FALSE,
progress = TRUE
)Arguments
- station
A character vector of station identifiers (see
aemet_stations()) or"all"for all stations.- verbose
A logical value. If
TRUE, displays information about the exchange between the client and server.- return_sf
A logical value. If
TRUE, the function returns ansfspatial object. IfFALSE(the default), it returns a tibble. sf must be installed.- extract_metadata
A logical value. If
TRUE, returns a tibble describing the response fields. Seeget_metadata_aemet().- progress
A logical value. If
TRUE, displays acli::cli_progress_bar()unlessverbose = TRUE.
API key
Queries to the AEMET OpenData API require an API key. Use aemet_api_key()
to set it globally. Query timeout can be controlled with
options(climaemet_timeout = 60) (default value). See
httr2::req_timeout() for details.
See also
aemet_stations() for station identifiers.
Weather observations:
aemet_alerts()
Examples
obs <- aemet_last_obs(c("9434", "3195"))
dplyr::glimpse(obs)
#> Rows: 24
#> Columns: 25
#> $ idema <chr> "9434", "9434", "9434", "9434", "9434", "9434", "9434", "943…
#> $ lon <dbl> -1.004167, -1.004167, -1.004167, -1.004167, -1.004167, -1.00…
#> $ fint <dttm> 2026-10-28 23:00:00, 2026-10-29 00:00:00, 2026-10-29 01:00:…
#> $ prec <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
#> $ alt <dbl> 249, 249, 249, 249, 249, 249, 249, 249, 249, 249, 249, 249, …
#> $ vmax <dbl> 4.3, 2.5, 5.2, 2.9, 1.5, 2.1, 1.4, 1.5, 2.9, 2.2, 3.4, 5.3, …
#> $ vv <dbl> 1.2, 1.8, 1.2, 1.0, 0.8, 0.5, 0.7, 0.4, 0.4, 1.5, 1.1, 2.5, …
#> $ dv <dbl> 289, 296, 257, 345, 3, 31, 83, 75, 8, 316, 329, 299, 45, 44,…
#> $ lat <dbl> 41.66056, 41.66056, 41.66056, 41.66056, 41.66056, 41.66056, …
#> $ dmax <dbl> 313, 298, 215, 260, 345, 3, 358, 35, 250, 325, 315, 295, 36,…
#> $ ubi <chr> "ZARAGOZA AEROPUERTO", "ZARAGOZA AEROPUERTO", "ZARAGOZA A…
#> $ pres <dbl> 993.1, 992.9, 992.8, 992.8, 992.7, 992.7, 993.0, 993.2, 993.…
#> $ hr <dbl> 70, 75, 77, 78, 84, 87, 90, 91, 91, 82, 77, 65, 62, 56, 63, …
#> $ stdvv <dbl> 0.2, 0.2, 0.5, 0.2, 0.3, 0.2, 0.3, 0.3, 0.1, 0.3, 0.4, 0.4, …
#> $ ts <dbl> 11.8, 11.0, 10.6, 9.7, 8.2, 8.1, 7.7, 7.4, 7.9, 12.6, 16.8, …
#> $ pres_nmar <dbl> 1023.3, 1023.3, 1023.2, 1023.2, 1023.3, 1023.3, 1023.7, 1023…
#> $ tamin <dbl> 13.0, 11.8, 11.4, 11.1, 9.9, 9.3, 8.7, 8.5, 8.4, 8.8, 10.4, …
#> $ ta <dbl> 13.0, 11.8, 11.4, 11.1, 9.9, 9.3, 8.7, 8.5, 8.8, 10.4, 12.8,…
#> $ tamax <dbl> 14.1, 13.0, 11.9, 11.8, 11.1, 9.9, 9.3, 8.7, 8.8, 10.4, 12.8…
#> $ tpr <dbl> 7.7, 7.6, 7.6, 7.4, 7.3, 7.3, 7.1, 7.1, 7.4, 7.4, 8.9, 8.8, …
#> $ stddv <dbl> 8, 9, 16, 16, 22, 27, 20, 53, 23, 13, 44, 12, 17, 22, 24, 12…
#> $ inso <dbl> 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 17.2, 56.7, 60.0, 60…
#> $ tss5cm <dbl> 17.3, 16.8, 16.5, 16.1, 15.7, 15.3, 15.0, 14.7, 14.4, 14.3, …
#> $ pacutp <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, NA, NA, NA, NA, NA, NA, …
#> $ tss20cm <dbl> 18.9, 18.8, 18.6, 18.4, 18.3, 18.1, 17.9, 17.7, 17.5, 17.3, …
