Learn R Programming

gsw (version 1.0-5)

gsw_seaice_fraction_to_freeze_seawater: Sea ice Fraction to Cool Seawater to Freezing

Description

Sea ice Fraction to Cool Seawater to Freezing

Usage

gsw_seaice_fraction_to_freeze_seawater(SA, CT, p, SA_seaice, t_seaice)

Arguments

SA

Absolute Salinity [ g/kg ]

CT

Conservative Temperature [ degC ]

p

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

SA_seaice

Absolute Salinity of sea ice [ g/kg ]

t_seaice

initial temperature of sea ice [ degC ]

Value

a list containing SA_freeze, CT_freeze and w_Ih.

Details

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_seaice_fraction_to_freeze_seawater.html

Examples

Run this code
# NOT RUN {
SA <- c(      34.7118, 34.8915, 35.0256, 34.8472, 34.7366,  34.7324)
CT <- c(      -1.7856, -1.4329, -1.8103, -1.2600, -0.6886,   0.4403)
p <- c(            10,      50,     125,     250,     600,     1000)
SA_seaice <- c(     5,     4.8,     3.5,     2.5,       1,      0.4)
t_seaice <- c(-5.7856, -4.4329, -3.8103, -4.2600, -3.8863,  -3.4036)
r <- gsw_seaice_fraction_to_freeze_seawater(SA, CT, p, SA_seaice, t_seaice)
expect_equal(r$SA_freeze, c(34.671271207148074, 34.703449677481224, 34.950192062047861,
                          34.525277379661880, 34.077349518029997, 33.501836583274191))
expect_equal(r$CT_freeze, c(-1.895419711000293, -1.927935638317893, -1.999943183939312,
                          -2.071677444370745, -2.318866154643864, -2.603185031462614))
expect_equal(r$w_seaice, c(0.001364063868629, 0.006249283768465, 0.002391958850970,
                         0.009952101583387, 0.019541106156815, 0.035842627277027))
# }

Run the code above in your browser using DataLab