Get last observation values for a station.
Usage
aemet_last_obs(
station = "all",
verbose = FALSE,
return_sf = FALSE,
extract_metadata = FALSE,
progress = TRUE
)Arguments
- station
Character string with station identifier code(s) (see
aemet_stations()) or "all" for all the stations.- verbose
Logical
TRUE/FALSE. Provides information about the flow of information between the client and server.- return_sf
Logical
TRUEorFALSE. Should the function return ansfspatial object? IfFALSE(the default value) it returns a tibble. Note that you need to have the sf package installed.- extract_metadata
Logical
TRUE/FALSE. OnTRUEthe output is a tibble with the description of the fields. See alsoget_metadata_aemet().- progress
Logical, display a
cli::cli_progress_bar()object. Ifverbose = TRUEwon't be displayed.
API Key
You need to set your API Key globally using aemet_api_key().
Examples
library(tibble)
obs <- aemet_last_obs(c("9434", "3195"))
glimpse(obs)
#> Rows: 26
#> Columns: 26
#> $ 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> 2026-03-04 00:00:00, 2026-03-04 01:00:00, 2026-03-04 02:00:…
#> $ 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> 1.5, 1.7, 2.5, 1.8, 1.7, 1.9, 1.6, 2.3, 2.5, 2.9, 3.2, 2.7, …
#> $ vv <dbl> 1.0, 1.2, 1.1, 1.3, 0.1, 1.2, 0.9, 0.8, 1.9, 1.5, 1.7, 1.1, …
#> $ dv <dbl> 198, 271, 247, 221, 233, 271, 293, 7, 282, 313, 303, 344, 29…
#> $ lat <dbl> 41.66056, 41.66056, 41.66056, 41.66056, 41.66056, 41.66056, …
#> $ dmax <dbl> 220, 305, 240, 220, 223, 250, 245, 303, 280, 285, 300, 350, …
#> $ ubi <chr> "ZARAGOZA AEROPUERTO", "ZARAGOZA AEROPUERTO", "ZARAGOZA A…
#> $ pres <dbl> 991.4, 991.1, 991.0, 990.5, 990.4, 990.3, 990.8, 990.9, 991.…
#> $ hr <dbl> 90, 90, 93, 95, 93, 94, 98, 99, 97, 95, 93, 92, 85, 74, 75, …
#> $ stdvv <dbl> 0.1, 0.2, 0.5, 0.2, 0.2, 0.2, 0.1, 0.2, 0.3, 0.2, 0.2, 0.3, …
#> $ ts <dbl> 8.1, 7.3, 6.9, 7.0, 6.0, 5.9, 6.4, 6.7, 7.3, 8.4, 9.5, 10.9,…
#> $ pres_nmar <dbl> 1022.0, 1021.8, 1021.8, 1021.3, 1021.2, 1021.1, 1021.6, 1021…
#> $ tamin <dbl> 9.3, 8.4, 7.6, 7.5, 7.1, 6.7, 6.6, 6.5, 6.3, 6.7, 7.8, 8.8, …
#> $ ta <dbl> 9.3, 8.4, 7.7, 7.5, 7.1, 6.7, 6.8, 6.8, 6.8, 7.8, 8.8, 9.4, …
#> $ tamax <dbl> 10.3, 9.3, 8.4, 7.7, 7.6, 7.1, 6.8, 6.8, 6.8, 7.8, 8.8, 9.4,…
#> $ tpr <dbl> 7.7, 6.8, 6.7, 6.7, 6.1, 5.8, 6.5, 6.7, 6.4, 7.0, 7.7, 8.1, …
#> $ stddv <dbl> 12, 10, 12, 11, 48, 13, 13, 49, 9, 15, 17, 15, 21, NA, NA, N…
#> $ inso <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, NA, NA, NA, NA, NA, N…
#> $ tss5cm <dbl> 11.5, 11.2, 10.8, 10.5, 10.3, 10.0, 9.8, 9.7, 9.7, 9.9, 10.1…
#> $ pacutp <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, NA, NA, NA, NA, NA, N…
#> $ tss20cm <dbl> 12.8, 12.7, 12.5, 12.4, 12.2, 12.1, 11.9, 11.7, 11.6, 11.5, …
#> $ rviento <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 103, 103…
