The argo_mirror()
points to a directory containing millions of NetCDF
files in which Argo data is organized. These files are indexed by category
in the root directory of the mirror. The argo_global_*()
functions provide
access to these as data frames.
argo_global_meta(download = NULL, quiet = FALSE)
argo_global_prof(download = NULL, quiet = FALSE)
argo_global_tech(download = NULL, quiet = FALSE)
argo_global_traj(download = NULL, quiet = FALSE)
argo_global_bio_traj(download = NULL, quiet = FALSE)
argo_global_bio_prof(download = NULL, quiet = FALSE)
argo_global_synthetic_prof(download = NULL, quiet = FALSE)
A logical vector indicating whether or not
a file should be downloaded. Defaults to the value of
argo_should_download()
, which is TRUE
for files that
do not exist in the cache.
Use FALSE
to show which files are downloaded and for more
verbose error messages.
argo_global_meta()
: a tibble::tibble()
of the Argo meta file index
argo_global_tech()
: a tibble::tibble()
of the Argo tech file index
argo_global_traj()
: a tibble::tibble()
of the Argo trajectory file index
argo_global_bio_traj()
: a tibble::tibble()
of the Argo meta
biogeochemical trajectory index
argo_global_prof()
: a tibble::tibble()
of the Argo profile file index
argo_global_bio_prof()
: a tibble::tibble()
of the Argo biogeochemical profile
index
argo_global_synthetic_prof()
: a tibble::tibble()
of the Argo
biogeochemical synthetic profile index
with_argo_example_cache({
argo_global_meta()
})
#> Loading argo_global_meta()
#> # A tibble: 16,062 × 4
#> file profiler_type institution date_update
#> <chr> <dbl> <chr> <dttm>
#> 1 aoml/13857/13857_meta.nc 845 AO 2018-10-11 20:00:14
#> 2 aoml/13858/13858_meta.nc 845 AO 2018-10-11 20:00:15
#> 3 aoml/13859/13859_meta.nc 845 AO 2018-10-11 20:00:25
#> 4 aoml/15819/15819_meta.nc 845 AO 2018-10-11 20:00:16
#> 5 aoml/15820/15820_meta.nc 845 AO 2018-10-11 20:00:18
#> 6 aoml/15851/15851_meta.nc 845 AO 2018-10-11 20:00:26
#> 7 aoml/15852/15852_meta.nc 845 AO 2018-10-11 20:00:28
#> 8 aoml/15853/15853_meta.nc 845 AO 2018-10-11 20:00:29
#> 9 aoml/15854/15854_meta.nc 845 AO 2018-10-11 20:00:30
#> 10 aoml/15855/15855_meta.nc 845 AO 2018-10-11 20:00:34
#> # … with 16,052 more rows
with_argo_example_cache({
argo_global_tech()
})
#> Loading argo_global_tech()
#> # A tibble: 15,610 × 3
#> file institution date_update
#> <chr> <chr> <dttm>
#> 1 aoml/13857/13857_tech.nc AO 2018-10-11 20:00:14
#> 2 aoml/13858/13858_tech.nc AO 2018-10-11 20:00:15
#> 3 aoml/13859/13859_tech.nc AO 2018-10-11 20:00:25
#> 4 aoml/15819/15819_tech.nc AO 2018-10-11 20:00:16
#> 5 aoml/15820/15820_tech.nc AO 2018-10-11 20:00:18
#> 6 aoml/15851/15851_tech.nc AO 2018-10-11 20:00:26
#> 7 aoml/15852/15852_tech.nc AO 2018-10-11 20:00:28
#> 8 aoml/15853/15853_tech.nc AO 2018-10-11 20:00:29
#> 9 aoml/15854/15854_tech.nc AO 2018-10-11 20:00:30
#> 10 aoml/15855/15855_tech.nc AO 2018-10-11 20:00:34
#> # … with 15,600 more rows
with_argo_example_cache({
argo_global_traj()
})
#> # A tibble: 17,204 × 8
#> file latitude_max latitude_min longitude_max longitude_min profiler_type
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 aoml/138… 6.93 0.008 -15.0 -33.8 845
#> 2 aoml/138… 5.21 -0.363 -9.50 -17.8 845
#> 3 aoml/138… 5.93 -0.939 -18.6 -33.7 845
#> 4 aoml/158… -2.66 -9.19 -16.4 -40.0 845
#> 5 aoml/158… -1.98 -7.14 -9.90 -35.8 845
#> 6 aoml/158… -2.73 -6.22 3.33 -21.1 845
#> 7 aoml/158… -5.04 -8.44 -1.49 -18.9 845
#> 8 aoml/158… -4.70 -8.25 -4.40 -18.0 845
#> 9 aoml/158… -4.81 -7.20 -6.41 -12.7 845
#> 10 aoml/158… -1.79 -6.00 7 -5.45 845
#> # … with 17,194 more rows, and 2 more variables: institution <chr>,
#> # date_update <dttm>
with_argo_example_cache({
argo_global_bio_traj()
})
#> Loading argo_global_bio_traj()
#> # A tibble: 557 × 9
#> file latitude_max latitude_min longitude_max longitude_min profiler_type
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 bodc/390… NA NA NA NA 836
#> 2 bodc/390… NA NA NA NA 836
#> 3 bodc/390… NA NA NA NA 836
#> 4 bodc/390… NA NA NA NA 836
#> 5 bodc/390… NA NA NA NA 836
#> 6 bodc/690… NA NA NA NA 836
#> 7 bodc/690… NA NA NA NA 836
#> 8 bodc/690… NA NA NA NA 836
#> 9 bodc/690… NA NA NA NA 836
#> 10 bodc/690… NA NA NA NA 836
#> # … with 547 more rows, and 3 more variables: institution <chr>,
#> # parameters <chr>, date_update <dttm>
if (FALSE) {
# extended download time if no cached version is available
argo_global_prof()
argo_global_bio_prof()
argo_global_synthetic_prof()
}