View source: R/copernicus_altimetry.R
read_adt_daily | R Documentation |
Functions read_sla_daily
and so on for "ugosa, adt, ugos, sla, vgos, vgosa, err".
read_ugosa_daily(
date,
xylim = NULL,
latest = TRUE,
returnfiles = FALSE,
...,
inputfiles = NULL
)
read_ugos_daily(
date,
xylim = NULL,
latest = TRUE,
returnfiles = FALSE,
...,
inputfiles = NULL
)
read_sla_daily(
date,
xylim = NULL,
latest = TRUE,
returnfiles = FALSE,
...,
inputfiles = NULL
)
read_vgos_daily(
date,
xylim = NULL,
latest = TRUE,
returnfiles = FALSE,
...,
inputfiles = NULL
)
read_vgosa_daily(
date,
xylim = NULL,
latest = TRUE,
returnfiles = FALSE,
...,
inputfiles = NULL
)
read_err_daily(
date,
xylim = NULL,
latest = TRUE,
returnfiles = FALSE,
...,
inputfiles = NULL
)
date |
date or dates of data to read, |
xylim |
spatial extents to crop from source data, can be anything accepted by |
latest |
if TRUE (and date not supplied) return the latest time available |
returnfiles |
ignore options and just return the file names and dates |
... |
passed in to brick, primarily for |
inputfiles |
input the files data base to speed up initialization |
The labels 'u', 'v' are used by another function readcurr()
which reads the 'ugos' and 'vgos' components and corresponds to an older
but analogous dataset.
'ugos' is Absolute geostrophic velocity: zonal component, 'surface_geostrophic_eastward_sea_water_velocity' in m/s.
'vgos' is Absolute geostrophic velocity: meridian component, 'surface_geostrophic_northward_sea_water_velocity' in m/s.
'ugosa' is Geostrophic velocity anomalies: zonal component, 'surface_geostrophic_eastward_sea_water_velocity_assuming_sea_level_for_geoid' in m/s.
'vgosa' is Geostrophic velocity anomalies: meridian component, 'surface_geostrophic_northward_sea_water_velocity_assuming_sea_level_for_geoid' in m/s.
'adt' is Absolute dynamic topography, 'sea_surface_height_above_geoid' in metres
'sla' is Sea level anomaly, 'sea_surface_height_above_sea_level' in metres.
For the raw files see raadfiles::altimetry_daily_files
and for example do
'files <- read_sla_daily(returnfiles = TRUE); ncdf4::nc_open(files$fullname1)' which will give a full NetCDF metadata print out of the source files (all the variables are in each file).
a raster layer
a <- read_adt_daily(sort(Sys.Date() - 1:50),
xylim = extent(100, 150, -70, -40))
## Not run:
animate(a, pause = 0,
col = colorRampPalette(c("dodgerblue", "white", "firebrick"))(21),
breaks = c(seq(min(cellStats(a, min)), 0, length = 11),
seq(0.001, max(cellStats(a, max)), length = 10)))
## End(Not run)
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