Transcript S - clivar

TEOS-10, the new Thermodynamic definition of
Seawater: what it is and how to use it
Trevor J McDougall
CSIRO, Hobart, Australia
CLIVAR WGOMD Workshop on Ocean Mesoscale
Eddies, Exeter, April 2009
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Background
• The existing 1980 International Equation of State (EOS-80) has
served the community very well for almost 30 years.
• EOS-80 provides algorithms for density, sound speed, heat
capacity and freezing temperature.
• However, it does not provide expressions for entropy, internal
energy and enthalpy.
• All these things are best derived from a single Gibbs function
from which all these thermodynamic quantities, as well as
potential temperature, can be found in a consistent manner.
• Also, there is a little more data that has now been incorporated,
making the algorithms more accurate.
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Main Terms of Reference for WG127
• To examine the results of recent research in ocean
thermodynamics with a view to recommending a change to
the existing internationally accepted algorithms for
evaluating density and related quantities including enthalpy,
entropy and potential temperature.
• To examine the feasibility of using simple functions of threedimensional space to take account of the influence of
composition anomalies on the determination of density in the
ocean.
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SCOR/IAPSO Working Group 127
SCOR/IAPSO WG127 on
The Thermodynamics and Equation of State of Seawater
Trevor J. McDougall, Chair (Australia)
Rainer Feistel (Germany)
Chen-Tung Arthur Chen (Taiwan)
David R. Jackett (Australia)
Brian A. King (UK)
Giles M. Marion (USA)
Frank J. Millero (USA)
Petra Spitzer (Germany)
Dan Wright (Canada)
Associate member, Peter Tremaine (Canada)
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Features of the new TEOS-10
Thermodynamic Equation Of Seawater - 2010
• SCOR/IAPSO Working Group 127 has settled on a definition of
The Reference Composition of seawater. This was a necessary
first step in order to define the Gibbs function at very low
salinities. This Reference Composition, consisting of the major
components of Standard Seawater, has been determined from
earlier analytical measurements.
• The definition of the Reference Composition enabled the
calculation of the Absolute Salinity of seawater that has this
Reference Composition (making use of modern atomic weights).
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Solute
Reference Composition
Chemical Composition of Standard Seawater – the
Reference Composition
Using the available information and 2005
atomic weight estimates, mole fractions of
standard seawater can be determined.
The Na+ contribution is determined by the
requirement achieve exact charge balance.
The resulting “Reference Composition”
is shown to the right.
Millero, F. J., R. Feistel, D. G. Wright and T. J.
McDougall, 2008: The composition of Standard
Seawater and the definition of the ReferenceComposition Salinity Scale. Deep-Sea Research I,
55, 50-72.
Mole fraction
Mass fraction
Na+
.4188071
.3065958
Mg2+
.0471678
.0365055
Ca2+
.0091823
.0117186
K+
.0091159
.0113495
Sr2+
.0000810
.0002260
Cl–
.4874839
.5503396
SO42–
.0252152
.0771319
HCO3–
.0015340
.0029805
Br–
.0007520
.0019130
CO32–
.0002134
.0004078
B(OH)4–
.0000900
.0002259
F–
.0000610
.0000369
OH–
.0000071
B(OH)3
CO2
.0000038
.0002807
.0005527
.0000086
.0000121
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1.0000000
Sum
1.0000000
Reference Salinity as a stepping stone to
Absolute Salinity
• Reference Salinity SR is defined to provide the best available
estimate of the Absolute Salinity SA of both
(i) seawater of Reference Composition,
(ii) of Standard Seawater (North Atlantic surface seawater).
• SR can be related to Practical Salinity SP (which is based on
conductivity ratio) by
SR = (35.165 04/35) g kg–1 x SP.
• The difference between the new and old salinities of
~0.165 04 g kg–1 (~0.47%) is about 80 times as large as the
accuracy with which we can measure SP at sea.
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Absolute Salinity Anomaly
• Practical Salinity SP reflects the conductivity of seawater
whereas the thermodynamic properties are more accurately
expressed in terms of the concentrations of all the components
of sea salt. For example, non-ionic species contribute to density
but not to conductivity.
• The Gibbs function is expressed in terms of the Absolute Salinity
SA (mass fraction of dissolved material) rather than the Practical
Salinity SP of seawater.
•
SA = (35.165 04/35) g kg–1 x SP + dSA(x,y,p)
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Determining Absolute Salinity
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Absolute Salinity Anomaly
• The Absolute Salinity Anomaly dSA is determined by accurately
measuring the density of a seawater sample in the laboratory
using a vibrating beam densimeter.
• This density is compared to the density calculated from the
sample’s Practical Salinity to give an estimate of dSA
• We have done this to date on 811 seawater samples from
around the global ocean.
• We exploit a correlation between dSA and the slicicate
concentration of seawater to arrive at a computer algorithm to
estimate dSA= dSA(x,y,p).
SA = (35.165 04/35) g kg–1 x SP + dSA(x,y,p)
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Absolute Salinity Anomaly
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Absolute Salinity Anomaly
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Absolute Salinity Anomaly
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Absolute Salinity Anomaly
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Why adopt Absolute Salinity SA?
• The freshwater content of seawater is (1 – 0.001SA) not
(1 – 0.001SP), and SA and SP are known to differ by about
0.47%. There seems no good reason for continuing to ignore
this known difference in ocean models.
• Practical Salinity expressed in the PSS-78 scale is outside the
system of SI units.
• PSS-78 is limited to the salinity range 2 to 42.
• Density of seawater is a function of SA not of SP. Hence we need
to use Absolute Salinity in order to accurately determine the
horizontal density gradients (for use in the “thermal wind”
equation).
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What is a Gibbs Function?
From a Gibbs function, all of the thermodynamic properties of seawater
can be determined by simple differentiation and algebraic manipulation.
Formulas for properties of seawater and ice expressed in terms of the
Gibbs functions g(SA, T, p) for seawater and g(T, p) for ice.
3
Property
Symbol
Expression in
g(S, T, p) of seawater
Expression in
g(T, p) of ice
specific Gibbs energy
g
g
g
specific enthalpy
h
g − T gT
g − T gT
specific Helmholtz energy
f
g − p gp
g − p gp
specific internal energy
u
g − T gT − p gp
g − T g T − p gp
Specific entropy
s
− gT
− gT
pressure
p
p
p
density
ρ
1 / gp
1 / gp
specific isobaric heat capacity
cp
−T gTT
−T gTT
thermal expansion
α
gTp / gp
gTp / gp
isothermal compressibility
κT
isentropic compressibility
κs
g
−gpp / gp
2
tp
 gtt g pp / g p gtt 
g
−gpp / gp
2
tp
 gtt g pp / g p gtt 
Sound speed
w
g p gtt / g  gtt g pp 
chemical potential of water
µW
g − SA gS
g
pressure coefficient for ice
β
−
−gTp / gpp
2
tp
−
J. Willard Gibbs
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New and old definitions of seawater
Seawater: EOS-80
EOS-80
Density
   S , t, p
Heat Capacity
cP  cP S , t, p
Sound Speed
U  U S , t , p 
Freezing Point
t f  t f S , p 
Seawater: TEOS-10
g  g Fresh  t , p   g S  SA , t , p 
Temperature: ITS-90
Salinity:
RCSS-08
Fluid Water: IAPWS-95
Temperature: IPTS-68
Salinity:
Ice Ih:
IAPWS-06
PSS-78
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Percentage error in the horizontal density gradient
• Measurement of the horizontal gradient of density is the main
way that oceanographers are able to estimate the ocean
circulation (the “thermal wind” equation).
• These are actually differences in density at constant pressure,
so what is dynamically important is
 1 p    p SA   p 
SA  S R
 p SR   p
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Percentage error in the horizontal density gradient
• This figure is for data from
the world ocean below 10
Mpa ~ 1000 m.
• 60% of the data is improved
by more than 2%.
• This improvement is mainly
due to including the effects of
seawater composition on the
horizontal density gradient.
• The effect of having a better
 in TEOS-10 vs EOS-80 is
a factor of six smaller (the red
data uses SR in place of SA).
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Improvements in Freezing Temperature at high pressure
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Present practice regarding “heat” in oceanography
• To date oceanographers treat potential temperature q as a
conservative variable.
• We also mix water masses on S - q diagrams as though both
salinity and potential temperature are conserved on mixing.
• Air-sea heat fluxes result in a change in an ocean model’s
potential temperature using a constant specific heat capacity.
• That is, we treat “heat” as being a constant times q.
• How good are these assumptions?
• Can we do better?
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The First Law of Thermodynamics in terms of q
The First Law of Thermodynamics is written in terms of enthalpy as
 dh 1 dp 

    F R    FQ  

 dt 
 dt

We would like the bracket here to be a total derivative, for then we would have a
variable that would be advected and mixed in the ocean as a conservative
variable whose surface flux is the air-sea heat flux.
If we take h   SA ,q , p  , thermodynamic reasoning leads to
 T0  t 
dq
dS 
c p  pr 
    p   T0  t  T  pr  A      F R    FQ  
dt
d t 
 T0  q 
 
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The specific heat capacity of seawater at p = 0 dbar
Specific heat capacity J kg-1 K-1
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The concept of potential enthalpy h0
Just as q is the temperature calculated after an adiabatic change in pressure,
so potential enthalpy is the enthalpy of a fluid parcel after the same adiabatic
change in pressure.
h  SA ,q ,0   h  SA ,q , p  
0
0 1   SA ,q , p dp.
p
Taking the material derivative of this leads to
dh 1 d p
d h0 d q



 
 dt 
dt
dt
 dt
 SA ,q , p dp  d S p   SA ,q , p dp ,
0   SA ,q , p
d t 0   SA ,q , p 
p
and the last two terms are very small, being no more than 0.15% of the leading
term, even at a pressure of 40 MPa = 4,000 dbar. This means that the First
Law of Thermodynamics can be written as
d h0
d

  c 0p
    F R    F Q   .
dt
dt
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The difference between potential and
conservative temperatures, q 
S
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Error C in using entropy as a heat-like variable
S
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Improving Heat Conservation in Ocean Models
In order to implement Conservative Temperature in an ocean model
• we interpret the model’s temperature variable as , and
• provide a polynomial for density in the form (SA,,p), and
• provide the forward and inverse algorithms (SA,q) and q(SA,).
Then heat fluxes are simply fluxes of  times the constant
c 0p .
Similarly, models should be initialized with Absolute Salinity SA
and the output should be compared to observations of SA,
not of Practical Salinity SP.
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Improving Heat Conservation in Ocean Models
• Conservative temperature is 100
times closer to being “heat” than is
potential temperature.
• The algorithm for conservative
temperature has been imported into
the MOM4 code and it is available as
an option when running the MOM4
code.
• The figures show the expected
influence of sea-surface temperature
in the annual mean, and seasonally.
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Improving Heat Conservation in Ocean Models
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Improving Heat Conservation in Ocean Models
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Recommended changes to oceanographic practice
• Adopt the TEOS-10 definition of the Gibbs function for seawater,
requiring the use of its new algorithms for density, sound speed,
enthalpy, etc, (these algorithms are available on the TEOS-10 web site)
• Adopt Absolute Salinity SA; requiring the use of the new algorithm
to go from the present conductivity-based measure of salinity, SP,
to SA (McDougall, Jackett & Millero, Ocean Science, 2009).
• Continue to report Practical Salinity SP to national data bases
because
(i) SP is a measured parameter and
(ii) we need to maintain continuity in these data bases.
• Note that this treatment of salinity is similar to what we presently do
for temperature; we store in situ temperature, but we publish
potential temperature.
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