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OCADSAccess DataNDP-067NDP-067 - Comparison of Surface fCO2 Data

Comparison of Surface fCO2 Data

As described in Sect. Checks and Calculation Routines, the following main steps in the calculation of final fCO2 values constitute the general procedure that was applied identically to all underway fCO2 data sets:

  • Calculation of xCO2 in dry sample air (final data product received from every group)
  • Synchronization of daily CTD and equilibrator profiles based on standard deviation of the temperature offset
  • Calculation of fCO2 in equilibrator (at T eq, 100% humidity)
  • Correction of fCO2 to in situ seawater temperature based on corrected temperature readings

In order to gain better interpretability of any differences in the final fCO2 data sets, we tried to exclude as many controllable sources of error as possible. This was accomplished by carefully addressing the following points:

  • Temperature readings can be a significant source of error as shown in Sect. Check of Equilibrator Temperature Sensors However, on the basis of the checks of the temperature probes against a reference probe we were able to remove this error and assure consistent temperature measurements.
  • The choice of the parameterizations for calculating the saturation water vapor pressure and for the temperature correction of fCO2 also introduces some kind of uncertainty, which, however, in our case seems to be rather small compared with the errors of the temperature measurements. Again, the common calculation procedure (Sect. Calculation of fCO2 Results) excludes inconsistencies based on the use of different equations.
  • Finally, the common infrastructure (i.e., the seawater and calibration gas supply) assured a physically identical background for all systems.

It should be emphasized that none of these consistent conditions are usually present in typical fCO2 measurements in the field (i.e., temperature probes are sometimes used uncalibrated or at least not calibrated to the same standard; calculation procedures vary; calibration gases are of different origin and likely quality, too; the seawater sources may be quite different or even inadequate for gas measurements etc.).

In the interpretation of the results, any differences of >2 µatm (up to >5 µatm in the highly variable regime) in the final fCO2 data can be attributed either to differences in the equilibration process itself and/or to differences in the subsequent measurement of CO2. A tool to separate these two possible sources of error is measurements of the atmospheric xCO2, which were discussed in some detail in Sect. Comparison of Atmospheric xCO2 Data. Unlike the calibration gases, atmospheric air is comparable to the seawater equilibrated air in that it has a wet sample matrix. Thus atmospheric air undergoes the same procedure of (physical or arithmetical) drying. If, for example, differences between seawater fCO2 data from two systems were also present in the atmospheric xCO2 data, this is indicative of problems associated with the infrared CO2 measurement and/or the drying procedure. If, in contrast, the atmospheric xCO2 data turned out to be identical while seawater fCO2 was different, the source of error must be attributed to the equilibration process and/or the way of handling of the seawater equilibrated air.

Whereas these reasons add to the interpretability of the results, it should be pointed out that any observed differences cannot per se be attributed to a particular data set or system. As a superior reference method was not available, the "true" fCO2 values are simply not known. Given the still remaining uncertainty about the valid set of dissociation constants of carbonic acid in seawater, even consistency checks based on the other three parameters of the CO2 system in seawater (i.e., CT, AT, pH)-although to be carried out later on-will not provide an unambiguous means of finding "true" fCO2 values.

However, we found three data sets (systems "C," "D," and "E") to be very close in seawater fCO2 and atmospheric xCO2 values throughout the cruise, whereas the other data sets show variable offsets to these three profiles and some of them are also associated with significantly larger scatter. Because the general design of the three systems "C," "D," and "E" is significantly different (showerhead equilibrator-thin film equilibrator, small equilibrator volume-large equilibrator volume, small flow rates-large flow rates, equilibrator vented-equilibrator not vented, wet CO2 measurement-dry CO2 measurement, etc.), this agreement cannot simply be attributed to an essentially identical design. This is by no means a sufficient argument to regard the three consistent fCO2 profiles as the "truth," although we feel that this marked agreement is at least a strong indication of this. However, with the lack of a superior method, this sort of discussion is to some extent futile and cannot be solved here.

When preparing the following figures, we wanted to discuss the fCO2 results not only as absolute numbers but also as deviations from a reference. Because a superior method was not available and the choice of a single "true" fCO2 profile was not feasible, we decided to calculate the deviation of every single fCO2 data point from an 11-min running mean calculated from the three most consistent profiles (labs "C," "D," and "E"). In the light of the arguments given in the foregoing discussion, this choice remains arbitrary, but it nevertheless seems to be the most reasonable choice. However, it should be kept in mind that these deviations are, of course, dependent on the choice of the reference and are therefore not independent results. We are fully aware that this is a somewhat critical step in the interpretation, which seems only justified by the better visualization of the differences and the enhanced interpretability of the data set.

A further problem associated with calculating deviations from an 11-min running mean stems from the fact that this reference represents a strongly smoothed profile, whereas the original fCO2 data represent significantly smaller averaging intervals (minimum 1 min). Thus, all temporal variability on the minute-scale as contained in the fCO2 data with higher temporal resolution (e.g., profiles "B" and "E") translates into a larger scatter than that of the deviations from the smoothed reference profile. This artifact has to be kept in mind, because it is of a different magnitude for the various fCO2 data sets. This effect is more strongly obvious in the strong gradient regime (e.g., June 10). The main message of these deviation figures therefore has to be the general offset rather than the scatter of a profile.

Table 3 provides an overview of the minima, maxima, and differences of measured in situ temperature, salinity, and fCO2 (11-min running mean from profiles "C," "D," and "E") on a daily basis. As intended with the choice of the cruise track and as already documented in the daily profiles of temperature and salinity, the encountered conditions of the surface waters along the cruise track varied between a smooth regime with low variability during the second half of the cruise and a strong gradient regime with much higher variability in the area close to the northern turning point off Newfoundland (June 9-June 12) during the first half.

Table 3. Overview of minimum, maximum, and difference of measured values of temperature T (°C), salinity S, and the fugacity of CO2 (fCO2, 11-min running mean from profiles "C," "D," and "E"). The strong gradient regime is shaded.

Value June 8 June 9 June 10 June 11 June 12 June 13 June 14 June 15 June 16
Tmin 20.3 6.0 6.4 10.1 12.9 15.3 16.8 18.4 19.6
Tmax 25.1 24.5 16.4 16.6 16.9 17.1 19.8 20.6 21.0
delta T 4.8 18.5 10.0 6.5 4.0 1.8 3.0 2.2 1.4
Smin 36.38 32.57 32.90 33.88 34.66 35.98 35.97 36.11 36.35
Smax 36.81 36.61 36.24 36.32 36.29 36.25 36.25 36.46 36.96
delta S 0.43 4.04 3.34 2.44 1.63 0.27 0.28 0.35 0.61
fCO2min 315.6 270.2 264.6 281.5 276.9 303.8 306.7 332.2 338.6
fCO2max 340.7 339.2 321.0 327.9 327.3 326.4 346.4 359.3 355.7
delta fCO2 25.1 69.0 56.4 46.4 50.4 22.6 39.7 27.1 17.1
Last modified: 2021-03-17T18:30:27Z