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 atibble. Note that you need to have the sf package installed.- extract_metadata
Logical
TRUE/FALSE. OnTRUEthe output is atibblewith 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> 2025-11-19 00:00:00, 2025-11-19 01:00:00, 2025-11-19 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> 6.6, 6.9, 6.4, 8.4, 2.1, 2.0, 1.1, 2.2, 2.2, 1.9, 7.9, 7.6, …
#> $ vv <dbl> 5.1, 4.8, 4.6, 1.5, 1.2, 1.0, 0.9, 0.6, 1.5, 0.4, 5.5, 4.5, …
#> $ dv <dbl> 276, 273, 273, 345, 6, 253, 299, 246, 313, 52, 273, 307, 316…
#> $ lat <dbl> 41.66056, 41.66056, 41.66056, 41.66056, 41.66056, 41.66056, …
#> $ dmax <dbl> 280, 280, 275, 235, 3, 350, 295, 348, 313, 355, 270, 288, 31…
#> $ ubi <chr> "ZARAGOZA AEROPUERTO", "ZARAGOZA AEROPUERTO", "ZARAGOZA A…
#> $ pres <dbl> 988.8, 988.5, 988.3, 987.9, 987.4, 987.3, 987.1, 987.1, 986.…
#> $ hr <dbl> 67, 68, 68, 74, 82, 83, 84, 83, 79, 74, 56, 50, 50, NA, NA, …
#> $ stdvv <dbl> 0.5, 0.4, 0.4, 0.3, 0.3, 0.1, 0.1, 0.2, 0.3, 0.2, 0.6, 0.7, …
#> $ ts <dbl> 5.2, 4.9, 4.7, 3.0, 1.2, 1.2, 0.6, 0.9, 2.7, 9.1, 10.8, 12.9…
#> $ pres_nmar <dbl> 1019.7, 1019.4, 1019.2, 1019.0, 1018.6, 1018.6, 1018.4, 1018…
#> $ tamin <dbl> 5.5, 5.2, 5.1, 3.7, 2.4, 1.9, 1.6, 1.4, 1.6, 3.0, 5.8, 9.1, …
#> $ ta <dbl> 5.6, 5.2, 5.2, 3.7, 2.4, 1.9, 1.6, 1.8, 3.0, 5.8, 9.1, 10.0,…
#> $ tamax <dbl> 5.7, 5.6, 5.2, 5.5, 3.7, 2.4, 1.9, 1.9, 3.0, 5.8, 9.1, 10.0,…
#> $ tpr <dbl> 0.0, -0.3, -0.3, -0.5, -0.3, -0.7, -0.7, -0.7, -0.3, 1.5, 0.…
#> $ stddv <dbl> 5, 5, 5, 124, 18, 11, 13, 36, 14, 62, 9, 13, 10, NA, NA, NA,…
#> $ inso <dbl> 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 52.0, 60.0, 60.0, 60…
#> $ tss5cm <dbl> 9.1, 8.8, 8.5, 8.3, 7.9, 7.5, 7.1, 6.8, 6.6, 6.8, 7.7, 8.7, …
#> $ pacutp <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, NA, NA, NA, NA, NA, N…
#> $ tss20cm <dbl> 12.1, 11.9, 11.7, 11.6, 11.4, 11.2, 11.0, 10.8, 10.6, 10.3, …
#> $ rviento <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 38, 32, …
