convert_salinity | R Documentation |
Conversion from practical to absolute salinity and vice versa.
convert_PStoAS(S = 35, p = max(0, P - 1.013253), P = 1.013253,
lat = NULL, lon = NULL, DSi = NULL,
Ocean = c("Global", "Atlantic", "Pacific", "Indian", "Southern"))
convert_AStoPS(S = 35, p = max(0, P - 1.013253), P = 1.013253,
lat = NULL, lon = NULL, DSi = NULL,
Ocean = c("Global","Atlantic","Pacific","Indian","Southern"))
S |
Salinity, either practical salinity ( |
p |
gauge or applied pressure, pressure referenced against the local atmospheric pressure, bar |
P |
true pressure, bar |
lat |
latitude (-90 to +90) |
lon |
longitude (0 to 360) |
DSi |
the silicate concentration, in micromol/kg |
Ocean |
the ocean in which the measurement was taken; only
used if |
Absolute salinity (g kg-1) is estimated from Practical salinity as:
AS= 35.16504 /35 * PS + delt()
where delt is the absolute salinity anomaly. There are two ways in which to estimate the salinity anomaly
1. If DSi is not given a value, then the anomaly is estimated as a function of
longitude lon
, latitude lat
and pressure p
, using the
lookup table as in sw_sfac
.
2. If DSi
is given a value, then a regression on it is used, based on the
values of Ocean
and -except for the "global" ocean- the latitute
lat
:
a global estimate is used,
delt= 9.824e-5 *DSi,
the Southern Ocean (lat
< -30),
delt= 7.4884e-5 *DSi,
the Pacific Ocean ,
delt= 7.4884e-5 *(1 + 0.3622[lat
/30 + 1])*DSi,
the Indian Ocean ,
delt= 7.4884e-5 *(1 + 0.3861[lat
/30 + 1])*DSi,
the Atlantic Ocean ,
delt= 7.4884e-5 *(1 + 1.0028[lat
/30 + 1])*DSi,
Note that for the Pacific, Indian and Atlantic Ocean regression,
the latitude is needed. If lat
is NULL
then the Global
regression will be used.
The absolute salinity (convert_PStoAS
) or practical salinity
(convert_AStoPS
).
Karline Soetaert <karline.soetaert@nioz.nl>
Millero FJ, Feistel R, Wright DG and McDougall TJ, 2008. The composition of Standard Seawater and the definition of the Reference-Composition Salinity Scale, Deep-Sea Res. I, 55, 50-72.
McDougall TJ, Jackett DR and Millero FJ, 2009. An algorithm for estimating Absolute Salinity in the global ocean. Ocean Science Discussions 6, 215-242. http://www.ocean-sci-discuss.net/6/215/2009/
Uses the Fortran code written by David Jackett. http://www.teos-10.org/
convert_RtoS
, convert_StoR
,
convert_StoCl
,
convert_p
, convert_T
,
# check values: should be 35.7
convert_PStoAS(S = 35.52764437773386, p = 102.3, lon = 201, lat = -21)
# check values: should be 35.52764437773386
convert_AStoPS(S = 35.7, p = 102.3, lon = 201, lat = -21)
#
convert_PStoAS(S = 35)
convert_AStoPS(S = 35)
convert_PStoAS(S = 35, lat = 10, lon = 10, p = 0)
# Based on Si concentration
DSi <- seq(from = 0, to = 200, by = 10)
Global <- convert_PStoAS(30, DSi = DSi, Ocean = "Global")
Atlantic <- convert_PStoAS(30, DSi = DSi, Ocean = "Atlantic", lat = 0)
Pacific <- convert_PStoAS(30, DSi = DSi, Ocean = "Pacific", lat = 0)
Indian <- convert_PStoAS(30, DSi = DSi, Ocean = "Indian", lat = 0)
Southern <- convert_PStoAS(30, DSi = DSi, Ocean = "Southern")
matplot(x = DSi, y = cbind(Global, Atlantic, Pacific, Indian, Southern),
pch = 1, xlab = "DSi, micromol/kg", ylab = "Absolute salinity (PS=30)")
legend("topleft",c("Global", "Atlantic", "Pacific", "Indian", "Southern"),
col = 1:5, pch = 1)
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