readamps_d1wind | R Documentation |
Read from The Antarctic Mesoscale Prediction System (AMPS) files.
readamps_d1wind
reads the "d1" level
wind (defaults to 1).
readamps_d1wind(
date,
time.resolution = "4hourly",
xylim = NULL,
magonly = FALSE,
dironly = FALSE,
uonly = FALSE,
vonly = FALSE,
latest = TRUE,
returnfiles = FALSE,
level = 1,
...,
inputfiles = NULL
)
readamps
reads the band
(defaults to 1).
See amps_metadata
for a description of the bands.
Data http://www2.mmm.ucar.edu/rt/amps/wrf_grib/, and contain gridded forecast data from the AMPS-WRF model. The 'd1' (domain 1) files are on a 30km grid, while the 'd2' (domain 2) files are on a 10km grid. The grid domains are shown at http://polarmet.osu.edu/AMPS/ - d2 extends out to southern Australia and the tip of South America, and d1 covers just Antarctica (including Davis) and parts of the Southern Ocean. There are two forecast cycles, starting at 00UT and 12UT daily. Forecasts are for +00, +03, +06, +09, +12 and +15 hours. These steps can be used to see how the wind field is forecast as changing, and to obtain two different data sets each 3 hour timestep (e.g. the +15h forecast for the 00UT run is at the same time as the +03h forecast from the 12UT run). The 00UT and 12UT runs contain fewer parameters that the +03h and later forecasts
An example file date is "2015-10-25 UTC" gdalinfo 2015102512_WRF_d1_f000.grb uonly is Band 5 Block=329x1 Type=Float64, ColorInterp=Undefined Description = 10[m] HTGL (Specified height level above ground) Metadata: GRIB_COMMENT=u-component of wind [m/s] GRIB_ELEMENT=UGRD GRIB_FORECAST_SECONDS=0 sec GRIB_REF_TIME= 1445774400 sec UTC GRIB_SHORT_NAME=10-HTGL GRIB_UNIT=[m/s] GRIB_VALID_TIME= 1445774400 sec UTC vonly is Band 27 Block=329x1 Type=Float64, ColorInterp=Undefined Description = 10[m] HTGL (Specified height level above ground) Metadata: GRIB_COMMENT=v-component of wind [m/s] GRIB_ELEMENT=VGRD GRIB_FORECAST_SECONDS=0 sec GRIB_REF_TIME= 1445774400 sec UTC GRIB_SHORT_NAME=10-HTGL GRIB_UNIT=[m/s] GRIB_VALID_TIME= 1445774400 sec UTC
Raster
af <- amps_d1files()
w <- readamps_d1wind(latest = TRUE, inputfiles = af)
#w <- readamps_d2wind(latest = TRUE)
vlen <- function(a, b) sqrt(a * a + b * b)
plot(vlen(w[[1]], w[[2]]))
## arrow jigger
arr <- function(x, sub = seq(ncell(x[[1]])), scale = 1) {
cr <- coordinates(x[[1]]); cr1 <- cr;
cr1[,1] <- cr[,1] + values(x[[1]])*scale;
cr1[,2] <- cr1[,2] + values(x[[2]]*scale);
segments(cr[sub,1], cr[sub,2], cr1[sub,1], cr1[sub,2])
}
arr(w, sample(ncell(w), 10000), scale = 15000)
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