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gsw (version 1.0-5)

gsw_SA_from_Sstar: Absolute Salinity from Preformed Salinity

Description

Calculate Absolute Salinity from Preformed Salinity, pressure, longitude, and latitude.

Usage

gsw_SA_from_Sstar(Sstar, p, longitude, latitude)

Arguments

Sstar

Preformed Salinity [ g/kg ]

p

sea pressure [dbar], i.e. absolute pressure [dbar] minus 10.1325 dbar

longitude

longitude in decimal degrees, positive to the east of Greenwich. (This is called long in the TEOS-10 Matlab code.)

latitude

latitude in decimal degrees, positive to the north of the equator. (This is called lat in the TEOS-10 Matlab code.)

Value

Absolute Salinity [ g/kg ]

Details

If Sstar is a matrix and if its dimensions correspond to the lengths of longitude and latitude, then the latter are converted to analogous matrices with expand.grid.

The present R function works with a wrapper to a C function contained within the GSW-C system (Version 3.05-4 dated 2017-08-07, available at https://github.com/TEOS-10/GSW-C, as git commit '5b4d959e54031f9e972f3e863f63e67fa4f5bfec'), which stems from the GSW-Fortran system (https://github.com/TEOS-10/GSW-Fortran) which in turn stems from the GSW-Matlab system (https://github.com/TEOS-10/GSW-Matlab). Consult http://www.teos-10.org to learn more about these software systems, their authorships, and the science behind it all.

References

http://www.teos-10.org/pubs/gsw/html/gsw_SA_from_Sstar.html

See Also

Other things related to salinity: gsw_C_from_SP, gsw_SA_from_SP_Baltic, gsw_SA_from_SP, gsw_SP_from_C, gsw_SP_from_SA, gsw_SP_from_SK, gsw_SP_from_SR, gsw_SP_from_Sstar, gsw_SR_from_SP, gsw_Sstar_from_SA, gsw_Sstar_from_SP, gsw_deltaSA_from_SP

Examples

Run this code
# NOT RUN {
SP <- c(34.7115, 34.8912, 35.0247, 34.8436, 34.7291, 34.7197)
p <- c(      10,      50,     125,     250,     600,    1000)
lat <- c(     4,       4,       4,       4,       4,       4)
long <- c(  188,     188,     188,     188,     188,     188)
SA <- gsw_SA_from_Sstar(SP, p, long, lat)
expect_equal(SA, c(34.711724663585905, 34.891561223296009, 35.025594598699882,
                   34.847235885385913, 34.736694493054166, 34.732387111902753))
# }

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