the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Temperature effect on seawater ƒCO2 revisited: theoretical basis, uncertainty analysis, and implications for parameterising carbonic acid equilibrium constants
Abstract. The sensitivity of the fugacity of carbon dioxide in seawater (ƒCO2) to temperature (denoted υ, reported in % °C–1) is critical for the accurate ƒCO2 measurements needed to build global carbon budgets and for understanding the drivers of air-sea CO2 flux variability across the global ocean. Yet understanding and computing this property have until now been restricted to either using purely empirical functions fitted to experimental data or determining it as an emergent property of a fully resolved marine carbonate system, and these two approaches are not consistent with each other. The lack of a theoretical basis and an uncertainty estimate for υ has hindered resolving this discrepancy. Here, we develop a new approach to calculating the temperature sensitivity of ƒCO2 based on the equations governing the marine carbonate system and the van ‘t Hoff equation. This shows that ln(ƒCO2) should be proportional to 1/tK (where tK is temperature in K) to first order, rather than to temperature as has previously been assumed. Our new approach is consistent with experimental data, although more measurements are needed to confirm this, particularly at temperatures above 25 °C. It is consistent with field data, performing better than any other approach for adjusting ƒCO2 data by up to 10 °C. It is also consistent with calculations from a fully resolved marine carbonate system, which we have incorporated into the PyCO2SYS software. The uncertainty in υ arising from only measurement uncertainty in the scarce experimental data with which υ has been directly measured is on the order of 0.04 % °C–1, which corresponds to a 0.04 % uncertainty in ƒCO2 adjusted by +1 °C. However, spatiotemporal variability in υ is several times greater than this, so the true uncertainty due to the temperature adjustment in ƒCO2 adjusted by +1 °C using the most widely used constant υ value is around 0.24 %. This can be reduced to around 0.06 % by using the new approach proposed here, and this could be further reduced with more measurements. The spatiotemporal variability in υ arises from the equilibrium constants for CO2 solubility and carbonic acid dissociation (K1* and K2*) and its magnitude varies significantly depending on which parameterisation is used for K1* and K2*. Seawater ƒCO2 can be measured accurately enough that additional experiments should be able to detect spatiotemporal variability in υ and distinguish between the different parameterisations for K1* and K2*. Because the most widely used constant υ was coincidentally measured from seawater with roughly global average υ, our results are unlikely to significantly affect global air-sea CO2 flux budgets, but may have more important implications for regional budgets and studies that adjust by larger temperature differences.
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Notice on discussion status
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
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Preprint
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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(2777 KB) - Metadata XML
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Supplement
(1164 KB) - BibTeX
- EndNote
- Final revised paper
Journal article(s) based on this preprint
Interactive discussion
Status: closed
-
RC1: 'Comment on egusphere-2024-626', Fiz F. Perez, 19 Mar 2024
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-626/egusphere-2024-626-RC1-supplement.pdf
- AC1: 'Reply to RC1', Matthew Humphreys, 02 Aug 2024
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RC2: 'Comment on egusphere-2024-626', Rik Wanninkhof, 19 Mar 2024
EGUsphere
Review of: Temperature effect on seawater ƒCO2 revisited: theoretical basis, uncertainty analysis, and implications for parameterising carbonic acid equilibrium constants
Matthew P. Humphreys
Reviewer Rik Wanninkhof, AOML
Matthew Humphreys provides a physical chemical basis to the frequently used empirical relationship of fCO2 with temperature along with an thorough uncertainty analysis. He has incorporated the results into the PyCO2SYS software. The temperature relationship is frequently used to correct surface water fCO2 measurements to in situ temperatures. Based on the uncertainty analysis presented, the uncertainty for this correction can be reduced from 0.24 % to 0.06 %.
The manuscript is exhaustive and laid out in a coherent fashion. It is well-referenced and thoroughly researched. Non-the-less it is a challenging read and final results and conclusions are not always clearly laid out. For instance, the equations to determine the temperature dependence are not that clearly laid out. That is, it would be useful if an additional equation was added after Eqns. 19-21 where the numerical values constants for bh and R were included.
A central premise of the work is that the proper functionality for the temperature dependence is 1/T, following the van t’Hoff relationship, rather than t which is well-founded but the fit of a 1/T relationship to the experimental data of Takahashi et al. 1993 is worse than a linear fit with t. At the end of the manuscript the author correctly states that over a narrow range the functionality of 1/T versus t is very similar.
As pointed out by others, the temperature dependence will depend on the bicarbonate and carbonate concentrations of the seawater. This is also described in this manuscript (eqn12-18) but never emphasized. The important point is that no single simple equation can predict fCO2 solely based on temperature but that information on TA and DIC needs to be implicitly included. It might be worth emphasizing that knowledge or estimate of TA and DIC will decrease the uncertainty in the ln(fCO2-T) relationship.
One aspect that is not emphasized is why this empirical single fCO2-temperature dependence developed by Takahashi based on a single seawater composition “works” for the surface ocean as described in Wanninkhof et al. 2022:” The theoretical temperature dependence expressed as ∂ln(fCO2w)/∂T = B0 + B1 T shows a stronger dependency at lower temperatures, and weaker dependency at low TA/DIC values (Fig. 4). These conditions often go hand-in-hand in the surface ocean. That is, surface waters of the world's oceans have lower temperatures and lower TA/DIC at higher latitudes such that the two factors will oppose each other.”
For experimental data and verification the paper relies heavily on the pCO2-temperature relationship of Takahashi that was derived from 1 seawater sample and 8 measurements at 7 temperatures from 2-25 C. The paper also assumes that deviations from a linear trend are likely at higher temperatures and suggests, correctly, that more systematic studies have to be undertaken. While several groups have undertaken such studies, they have failed to publish it in the open literature. A notable exception is that of Lee and Millero (1995) that provides measurements from 5-30 C and obtains a linear dependence very similar to the of Takahashi et (1993) (see attached figure) particularly if the sample at 5 ˚C is omitted that is questionable (Lee personal comm, 1996). Of note are that the 30 C value falls in line with other points, but that the temperature dependence using a polynomial fit is twice that of Takahashi.
Comments by line number
Line 11: omit “purely”
Line 25 and beyond : Besides the constants the concentrations of the species will impact the relationship as well
Line 47: global mean ∆fCO2 ≈ -5 µatm (Fay et al., 2024)
Line 50 and beyond: “minimum accuracy of 0.5 %. “ since ∆fCO2 is often the quantity of interest it is commonly expressed as < 2 µatm for “climate quality” rather than a %
Line 55: state that the surface seawater is equilibrated with an enclosed headspace and the headspace is measured. That is fCO2 is fundamentally a gas phase property
Line 59: This criterium is for SOCAT dataset flags of A and B; SOCAT accepts all fCO2 measurements
Line 65: Of note is that fCO2 is also measured on discrete samples at fixed temperature usually 20 ˚C by select groups. In these case conversion to fCO2 at in situ temperatures is much greater.
Line 73: replace: “measured” by “reported”
Line 93: insert “υ, “ after “calculating”
Line 109: Note that Takahashi et al. 2009 provide the equation as well including the integrated form
Sections 2.1 and 2.3: Very nice description of physical basis and uncertainties
Line 139: note that 8 measurements were taken at 7 temperatures.
Line 331: Note Lee and Millero (1996) have a measurement at 30 C that could be used to spot-check the difference between υl and υq above about 25 C
Line 335-340: the issue that the proposed fit does not do as well as the original is a significant point, even if both fall within the calculated uncertainty. Again the Lee and Millero (1996) measurements could shed some light on the fundamental issue if the proposed equations have shortcomings.
Line 427: Section 3.1.3 I found this section confusing in part because the previous sections discuss fitting with experimental data while this section discusses using the Lueker constants. I had expected that the author would use the experimental data presented in Table 3 of the paper of Lueker et al. which would be a good test of their parameterizations as the tests were done at several temperatures and varying fCO2, TA and DIC.
Line 455: This point could be empathized “Consequently, the approximation that [HCO3–]2/[CO32–] is constant across different temperatures (Eq. 16), which emerges from the definitions of Ax and Tx (Eqs. 12-15), becomes less accurate with increasing TC/AT.
Line 675 and before:” but this does not account for variability in υ through space
and time” [while this is explained in the introduction], strictly speaking υ varies with temperature and chemical composition, not space and time.
Lee, K., and F. J. Millero, 1995: Thermodynamic studies of the carbonate system in seawater. Deep-Sea Res., 42, 2035-2061.
Takahashi, T., and Coauthors, 2009: Climatological mean and decadal change in surface ocean pCO2, and net sea-air CO2 flux over the global oceans. Deep -Sea Res II, 2009, 554-577.
- AC2: 'Reply to RC2', Matthew Humphreys, 02 Aug 2024
Interactive discussion
Status: closed
-
RC1: 'Comment on egusphere-2024-626', Fiz F. Perez, 19 Mar 2024
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-626/egusphere-2024-626-RC1-supplement.pdf
- AC1: 'Reply to RC1', Matthew Humphreys, 02 Aug 2024
-
RC2: 'Comment on egusphere-2024-626', Rik Wanninkhof, 19 Mar 2024
EGUsphere
Review of: Temperature effect on seawater ƒCO2 revisited: theoretical basis, uncertainty analysis, and implications for parameterising carbonic acid equilibrium constants
Matthew P. Humphreys
Reviewer Rik Wanninkhof, AOML
Matthew Humphreys provides a physical chemical basis to the frequently used empirical relationship of fCO2 with temperature along with an thorough uncertainty analysis. He has incorporated the results into the PyCO2SYS software. The temperature relationship is frequently used to correct surface water fCO2 measurements to in situ temperatures. Based on the uncertainty analysis presented, the uncertainty for this correction can be reduced from 0.24 % to 0.06 %.
The manuscript is exhaustive and laid out in a coherent fashion. It is well-referenced and thoroughly researched. Non-the-less it is a challenging read and final results and conclusions are not always clearly laid out. For instance, the equations to determine the temperature dependence are not that clearly laid out. That is, it would be useful if an additional equation was added after Eqns. 19-21 where the numerical values constants for bh and R were included.
A central premise of the work is that the proper functionality for the temperature dependence is 1/T, following the van t’Hoff relationship, rather than t which is well-founded but the fit of a 1/T relationship to the experimental data of Takahashi et al. 1993 is worse than a linear fit with t. At the end of the manuscript the author correctly states that over a narrow range the functionality of 1/T versus t is very similar.
As pointed out by others, the temperature dependence will depend on the bicarbonate and carbonate concentrations of the seawater. This is also described in this manuscript (eqn12-18) but never emphasized. The important point is that no single simple equation can predict fCO2 solely based on temperature but that information on TA and DIC needs to be implicitly included. It might be worth emphasizing that knowledge or estimate of TA and DIC will decrease the uncertainty in the ln(fCO2-T) relationship.
One aspect that is not emphasized is why this empirical single fCO2-temperature dependence developed by Takahashi based on a single seawater composition “works” for the surface ocean as described in Wanninkhof et al. 2022:” The theoretical temperature dependence expressed as ∂ln(fCO2w)/∂T = B0 + B1 T shows a stronger dependency at lower temperatures, and weaker dependency at low TA/DIC values (Fig. 4). These conditions often go hand-in-hand in the surface ocean. That is, surface waters of the world's oceans have lower temperatures and lower TA/DIC at higher latitudes such that the two factors will oppose each other.”
For experimental data and verification the paper relies heavily on the pCO2-temperature relationship of Takahashi that was derived from 1 seawater sample and 8 measurements at 7 temperatures from 2-25 C. The paper also assumes that deviations from a linear trend are likely at higher temperatures and suggests, correctly, that more systematic studies have to be undertaken. While several groups have undertaken such studies, they have failed to publish it in the open literature. A notable exception is that of Lee and Millero (1995) that provides measurements from 5-30 C and obtains a linear dependence very similar to the of Takahashi et (1993) (see attached figure) particularly if the sample at 5 ˚C is omitted that is questionable (Lee personal comm, 1996). Of note are that the 30 C value falls in line with other points, but that the temperature dependence using a polynomial fit is twice that of Takahashi.
Comments by line number
Line 11: omit “purely”
Line 25 and beyond : Besides the constants the concentrations of the species will impact the relationship as well
Line 47: global mean ∆fCO2 ≈ -5 µatm (Fay et al., 2024)
Line 50 and beyond: “minimum accuracy of 0.5 %. “ since ∆fCO2 is often the quantity of interest it is commonly expressed as < 2 µatm for “climate quality” rather than a %
Line 55: state that the surface seawater is equilibrated with an enclosed headspace and the headspace is measured. That is fCO2 is fundamentally a gas phase property
Line 59: This criterium is for SOCAT dataset flags of A and B; SOCAT accepts all fCO2 measurements
Line 65: Of note is that fCO2 is also measured on discrete samples at fixed temperature usually 20 ˚C by select groups. In these case conversion to fCO2 at in situ temperatures is much greater.
Line 73: replace: “measured” by “reported”
Line 93: insert “υ, “ after “calculating”
Line 109: Note that Takahashi et al. 2009 provide the equation as well including the integrated form
Sections 2.1 and 2.3: Very nice description of physical basis and uncertainties
Line 139: note that 8 measurements were taken at 7 temperatures.
Line 331: Note Lee and Millero (1996) have a measurement at 30 C that could be used to spot-check the difference between υl and υq above about 25 C
Line 335-340: the issue that the proposed fit does not do as well as the original is a significant point, even if both fall within the calculated uncertainty. Again the Lee and Millero (1996) measurements could shed some light on the fundamental issue if the proposed equations have shortcomings.
Line 427: Section 3.1.3 I found this section confusing in part because the previous sections discuss fitting with experimental data while this section discusses using the Lueker constants. I had expected that the author would use the experimental data presented in Table 3 of the paper of Lueker et al. which would be a good test of their parameterizations as the tests were done at several temperatures and varying fCO2, TA and DIC.
Line 455: This point could be empathized “Consequently, the approximation that [HCO3–]2/[CO32–] is constant across different temperatures (Eq. 16), which emerges from the definitions of Ax and Tx (Eqs. 12-15), becomes less accurate with increasing TC/AT.
Line 675 and before:” but this does not account for variability in υ through space
and time” [while this is explained in the introduction], strictly speaking υ varies with temperature and chemical composition, not space and time.
Lee, K., and F. J. Millero, 1995: Thermodynamic studies of the carbonate system in seawater. Deep-Sea Res., 42, 2035-2061.
Takahashi, T., and Coauthors, 2009: Climatological mean and decadal change in surface ocean pCO2, and net sea-air CO2 flux over the global oceans. Deep -Sea Res II, 2009, 554-577.
- AC2: 'Reply to RC2', Matthew Humphreys, 02 Aug 2024
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Matthew P. Humphreys
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(2777 KB) - Metadata XML
-
Supplement
(1164 KB) - BibTeX
- EndNote
- Final revised paper