readsst: Read OISST sea surface temperature data

In AustralianAntarcticDivision/raadtools: Tools for Synoptic Environmental Spatial Data

Read OISST sea surface temperature data

Description

SST data read from files managed by sstfiles. Dates are matched to file names by finding the nearest match in time within a short duration. If date is greater than length 1 then the sorted set of unique matches is returned. see Details in raadtools

Usage

readsst(
  date,
  time.resolution = c("daily", "monthly"),
  xylim = NULL,
  lon180 = TRUE,
  varname = c("sst", "anom", "err", "ice"),
  setNA = TRUE,
  latest = TRUE,
  returnfiles = FALSE,
  ...,
  inputfiles = NULL
)

Arguments

date	date or dates of data to read,
time.resolution	time resoution data to read, daily or monthly
xylim	spatial extents to crop from source data, can be anything accepted by extent, see Details
lon180	defaults to TRUE, to "rotate" Pacific view 0, 360 data to Atlantic view -180, 180
varname	variable to return from the data files, default is "sst" or "anom", "err", "ice"
setNA	mask out land values (only applies to monthly time.resolution)
latest	if TRUE (and date not supplied) return the latest time available
returnfiles	ignore options and just return the file names and dates
...	Arguments passed on to raadtools
inputfiles	input the files data base to speed up initialization
readall	FALSE by default

Value

raster object

See Also

icefiles for details on the repository of data files, raster for the return value

Examples

## Not run: 
## read one time slice and plot it up in preparation for reading a time series
d <- readsst()
plot(d)
## this step is interactive, draw a boundary on the plot
ext <- drawExtent()
## these can be created manually with xmin,xmax,ymin,ymax
## ext <- extent(-100, 150, -75, -30)
## now read a big chunk of data for this small region
dts <- seq(as.Date("2001-01-03"), by = "1 week", length = 100)
sst <- readsst(dts, xylim = ext)

## End(Not run)

AustralianAntarcticDivision/raadtools documentation built on Nov. 14, 2024, 4:27 p.m.