In-situ density, thermal expansion coefficient and haline contraction coefficient (75-term equation)
Source:R/gsw.R
gsw_rho_alpha_beta.Rd
Calculate the in-situ density, the expansion coefficient (with respect to Conservative Temperature) and the haline contraction coefficient (with respect to Absolute Salinity), using the 75-term equation.
Value
A list containing in-situ density rho
[ kg/m^3 ], thermal expansion
coefficient alpha
[ 1/degC ], and haline contraction coefficient
beta
[ kg/g ].
Implementation Note
This R function uses a wrapper to a C function contained within the GSW-C system as updated 2022-10-11 at https://github.com/TEOS-10/GSW-C with git commit `657216dd4f5ea079b5f0e021a4163e2d26893371`.
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.
See also
Other things related to density:
gsw_CT_from_rho()
,
gsw_CT_maxdensity()
,
gsw_SA_from_rho()
,
gsw_alpha()
,
gsw_alpha_on_beta()
,
gsw_alpha_wrt_t_exact()
,
gsw_alpha_wrt_t_ice()
,
gsw_beta()
,
gsw_beta_const_t_exact()
,
gsw_infunnel()
,
gsw_pot_rho_t_exact()
,
gsw_rho()
,
gsw_rho_first_derivatives()
,
gsw_rho_first_derivatives_wrt_enthalpy()
,
gsw_rho_ice()
,
gsw_rho_t_exact()
,
gsw_sigma0()
,
gsw_sigma1()
,
gsw_sigma2()
,
gsw_sigma3()
,
gsw_sigma4()
,
gsw_specvol()
,
gsw_specvol_alpha_beta()
,
gsw_specvol_anom_standard()
,
gsw_specvol_ice()
,
gsw_specvol_t_exact()
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)
r <- gsw_rho_alpha_beta(SA, CT, p)
stopifnot(all.equal(r$rho/1000, c(1.021839935738108, 1.022262457966867, 1.024427195413316,
1.027790152759127, 1.029837779000189, 1.032002453224572)))
stopifnot(all.equal(r$alpha*1000, c(0.324638934509245, 0.322655537959731, 0.281145723210171,
0.173199716344780, 0.146289673594824, 0.129414845334599)))
stopifnot(all.equal(r$beta*1000, c(0.717483987596135, 0.717647512290095, 0.726211643644768,
0.750500751749777, 0.755052064788492, 0.757050813384370)))