gsw_specvol_anom_standard {gsw} | R Documentation |
Specific volume anomaly [standard] (75-term equation)
Description
Note that the TEOS function named specific_volume_anomaly
is not
provided in the C library, so it is not provided in R, either.
Usage
gsw_specvol_anom_standard(SA, CT, p)
Arguments
SA |
Absolute Salinity [ g/kg ] |
CT |
Conservative Temperature [ degC ] |
p |
sea pressure [dbar], i.e. absolute pressure [dbar] minus 10.1325 dbar |
Value
Specific volume anomaly [ m^3/kg ]
Implementation Note
This R function uses a wrapper to a C function contained within the GSW-C system as updated 2021-12-28 at https://github.com/TEOS-10/GSW-C with git commit '98f0fd40dd9ceb0ba82c9d47ac750e935a7d0459'.
The C function uses data from the library/gsw_data_v3_0.mat
file provided in the GSW-Matlab source code, version 3.06-11.
Unfortunately, this version of the mat file is no longer displayed on the
TEOS-10.org website. Therefore, in the interests of making GSW-R be
self-contained, a copy was downloaded from
http://www.teos-10.org/software/gsw_matlab_v3_06_11.zip on 2022-05-25,
the .mat file was stored in the developer/create_data directory of
https://github.com/TEOS-10/GSW-R, and then the dataset used in GSW-R
was created based on that .mat file.
Please consult http://www.teos-10.org to learn more about the various TEOS-10 software systems.
References
http://www.teos-10.org/pubs/gsw/html/gsw_specvol_anom_standard.html
See Also
Other things related to density:
gsw_CT_from_rho()
,
gsw_CT_maxdensity()
,
gsw_SA_from_rho()
,
gsw_alpha_on_beta()
,
gsw_alpha_wrt_t_exact()
,
gsw_alpha_wrt_t_ice()
,
gsw_alpha()
,
gsw_beta_const_t_exact()
,
gsw_beta()
,
gsw_pot_rho_t_exact()
,
gsw_rho_alpha_beta()
,
gsw_rho_first_derivatives_wrt_enthalpy()
,
gsw_rho_first_derivatives()
,
gsw_rho_ice()
,
gsw_rho_t_exact()
,
gsw_rho()
,
gsw_sigma0()
,
gsw_sigma1()
,
gsw_sigma2()
,
gsw_sigma3()
,
gsw_sigma4()
,
gsw_specvol_alpha_beta()
,
gsw_specvol_ice()
,
gsw_specvol_t_exact()
,
gsw_specvol()
Examples
SA <- c(34.7118, 34.8915, 35.0256, 34.8472, 34.7366, 34.7324)
CT <- c(28.8099, 28.4392, 22.7862, 10.2262, 6.8272, 4.3236)
p <- c( 10, 50, 125, 250, 600, 1000)
a <- gsw_specvol_anom_standard(SA, CT, p)
stopifnot(all.equal(a*1e5, c(0.601051894897400, 0.578609769250563, 0.405600538950092,
0.142190453761838, 0.104335535578967, 0.076383389577725)))