read.ghrsst {satin} | R Documentation |
Read sea surface temperature data from JPL Multi-scale Ultra-high Resolution (MUR) SST Project
Description
Read, for a user defined area, SST data from netCDF files downloaded from JPL's Physical Oceanography Distributed Active Archive Center (podaac) web page.
Usage
read.ghrsst(nc, lons, lats)
Arguments
nc |
name of the netCDF file(s) to be read. |
lons |
a vector with western- and eastern-most longitudes. |
lats |
a vector with southern- and northern-most latitudes. |
Details
This function can read SST data from one or multiple netCDF files downloaded from Caltech Jet Propulsion Laboratory web page (https://podaac-opendap.jpl.nasa.gov/opendap/allData/ghrsst/data/GDS2/L4/GLOB/JPL/MUR/v4.1/). The user must specify the minimum and maximum latitude and longitude limits within the interval (-90, 90) and (-180, 180) respectively.
Value
An object of class "satin"
. See satin-class
for details.
Author(s)
Héctor Villalobos and Eduardo González-Rodríguez
References
See Also
read.nasaoc
for reading NASA's oceancolor web page data, read.osunpp
for reading ocean productivity data, and read.cmems
for data from Copernicus Marine Service.
Examples
if(interactive()){
# read a single file, look at its structure and plot
sst1km <- read.nasaoc("20130101090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.nc",
lats=c(20, 30), lons=c(-130, -105))
sst1km
str(sst1km)
plot(sst1km)
# read several files residing in the working directory
files <- list.files(pattern = glob2rx("*.nc"))
lats <- c(20, 30)
lons <- c(-130, -105)
mSST <- read.ghrsst(files, lats, lons)
# plotting the first processed file
plot(mSST)
# plotting the second processed file
plot(mSST, period = 2)
}