Learn R Programming

gsw (version 1.0-5)

gsw_alpha_on_beta: Thermal expansion coefficient over haline contraction coefficient

Description

Thermal expansion coefficient over haline contraction coefficient, using the 75-term equation for specific volume.

Usage

gsw_alpha_on_beta(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

ratio of thermal expansion coefficient to haline contraction coefficient [ (g/kg)/K ]

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_alpha_on_beta.html

See Also

Other things related to density: gsw_CT_from_rho, gsw_CT_maxdensity, gsw_SA_from_rho, 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_anom_standard, gsw_specvol_ice, gsw_specvol_t_exact, gsw_specvol

Examples

Run this code
# NOT RUN {
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)
alpha_on_beta <- gsw_alpha_on_beta(SA,CT,p)
expect_equal(alpha_on_beta, c(0.452468543022009, 0.449601695030057, 0.387140203094424,
                              0.230778871228268, 0.193747796234162, 0.170946048860385))
# }

Run the code above in your browser using DataLab