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. The sf package 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.
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> 2026-06-24 02:00:00, 2026-06-24 03:00:00, 2026-06-24 04:00:…
#> $ 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> 3.2, 2.5, 2.7, 1.7, 1.9, 3.2, 2.9, 3.6, 4.8, 4.8, 5.8, 6.9, …
#> $ vv <dbl> 2.0, 1.9, 1.5, 1.1, 1.0, 1.9, 1.7, 1.0, 2.2, 3.0, 4.0, 4.9, …
#> $ dv <dbl> 105, 109, 116, 88, 102, 92, 76, 43, 76, 88, 119, 129, 76, 83…
#> $ lat <dbl> 41.66056, 41.66056, 41.66056, 41.66056, 41.66056, 41.66056, …
#> $ dmax <dbl> 100, 105, 113, 98, 68, 100, 93, 80, 60, 95, 98, 140, 100, 76…
#> $ ubi <chr> "ZARAGOZA AEROPUERTO", "ZARAGOZA AEROPUERTO", "ZARAGOZA A…
#> $ pres <dbl> 986.3, 986.3, 986.5, 986.9, 987.2, 987.3, 987.2, 986.8, 986.…
#> $ hr <dbl> 45, 45, 45, 45, 46, 40, 36, 30, 26, 19, 19, 18, 29, 29, 30, …
#> $ stdvv <dbl> 0.2, 0.2, 0.3, 0.2, 0.3, 0.4, 0.4, 0.5, 0.7, 0.7, 0.8, 0.8, …
#> $ ts <dbl> 23.5, 22.5, 22.2, 21.9, 25.3, 33.1, 38.3, 41.4, 46.3, 46.8, …
#> $ pres_nmar <dbl> 1014.9, 1015.0, 1015.3, 1015.7, 1015.9, 1015.8, 1015.5, 1014…
#> $ tamin <dbl> 25.9, 24.9, 24.6, 24.6, 24.9, 25.2, 27.9, 30.0, 32.4, 34.6, …
#> $ ta <dbl> 25.9, 24.9, 24.7, 24.9, 25.2, 27.9, 30.0, 32.4, 34.6, 36.4, …
#> $ tamax <dbl> 27.4, 25.9, 24.9, 24.9, 25.2, 27.9, 30.0, 32.4, 34.6, 36.4, …
#> $ tpr <dbl> 13.1, 12.1, 12.0, 12.1, 12.7, 13.1, 13.3, 12.6, 12.3, 9.0, N…
#> $ stddv <dbl> 7, 8, 8, 10, 15, 14, 18, 64, 28, 14, 21, 10, 10, 14, 12, 20,…
#> $ inso <dbl> 0.0, 0.0, 0.0, 0.0, 18.9, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0…
#> $ tss5cm <dbl> 33.4, 32.7, 32.1, 31.5, 31.0, 31.0, 31.7, 32.9, 34.6, 36.7, …
#> $ pacutp <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, NA, NA, NA, NA, NA, NA, …
#> $ tss20cm <dbl> 34.3, 34.0, 33.8, 33.5, 33.2, 32.9, 32.7, 32.4, 32.3, 32.3, …
