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> 2026-08-28 01:00:00, 2026-08-28 02:00:00, 2026-08-28 03:00:…
#> $ 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> 10.2, 8.2, 4.8, 7.7, 4.6, 4.7, 4.7, 7.6, 6.2, 12.8, 12.0, 11…
#> $ vv <dbl> 5.9, 2.8, 2.6, 3.1, 2.3, 2.8, 3.0, 3.0, 1.7, 8.1, 7.0, 6.9, …
#> $ dv <dbl> 261, 263, 337, 311, 254, 266, 297, 306, 272, 269, 258, 260, …
#> $ lat <dbl> 41.66056, 41.66056, 41.66056, 41.66056, 41.66056, 41.66056, …
#> $ dmax <dbl> 273, 263, 235, 233, 280, 290, 280, 283, 255, 275, 260, 265, …
#> $ ubi <chr> "ZARAGOZA AEROPUERTO", "ZARAGOZA AEROPUERTO", "ZARAGOZA A…
#> $ pres <dbl> 987.4, 987.4, 988.6, 988.7, 989.0, 989.6, 990.3, 990.8, 990.…
#> $ hr <dbl> 42, 44, 45, 46, 49, 53, 47, 44, 39, 30, 29, 27, 67, 74, 77, …
#> $ stdvv <dbl> 0.8, 0.4, 0.7, 0.4, 0.6, 0.6, 0.6, 0.7, 1.2, 1.4, 1.7, 1.3, …
#> $ ts <dbl> 21.4, 19.9, 19.7, 19.5, 18.1, 17.5, 21.8, 24.4, 27.6, 28.2, …
#> $ pres_nmar <dbl> 1016.5, 1016.7, 1017.9, 1018.1, 1018.5, 1019.2, 1019.7, 1020…
#> $ tamin <dbl> 21.6, 20.3, 19.7, 19.8, 18.6, 17.0, 17.7, 19.7, 20.6, 22.2, …
#> $ ta <dbl> 21.6, 20.3, 20.1, 19.8, 18.6, 17.7, 19.7, 20.6, 22.2, 24.3, …
#> $ tamax <dbl> 23.1, 21.6, 20.3, 20.2, 19.8, 18.6, 19.7, 20.6, 22.2, 24.5, …
#> $ tpr <dbl> 8.1, 7.7, 7.8, 7.8, 7.7, 8.0, 8.1, 8.0, 7.6, 5.6, 5.9, 5.8, …
#> $ stddv <dbl> 8, 11, 31, 11, 12, 12, 12, 13, 50, 10, 15, 15, 20, 21, 37, 2…
#> $ inso <dbl> 0.0, 0.0, 0.0, 0.0, 0.0, 4.4, 53.9, 60.0, 60.0, 60.0, 60.0, …
#> $ tss5cm <dbl> 29.8, 29.3, 28.7, 28.2, 27.8, 27.3, 26.9, 27.1, 27.8, 29.1, …
#> $ pacutp <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, NA, NA, NA, NA, NA, NA, …
#> $ tss20cm <dbl> 31.9, 31.8, 31.6, 31.4, 31.2, 31.0, 30.7, 30.5, 30.3, 30.1, …
