Review of revised manuscript „Synthesis and evaluation of historical meridional heat transport from midlatitudes towards the Arctic“ by Yang Liu et al.
First, I would like to thank the authors for thoroughly checking their chain of computations and bringing some of their results into better agreement. This certainly enhances credibility of the presented results. However, the revised manuscript still contains a few shortcomings and several sloppy statements that I recommend to address.
Major comments:
In the conclusions, the authors recommend not using reanalyses for energy transports diagnostics. I think this statement is too general. While I agree that data assimilation systems used in reanalyses do not explicitly conserve energy, energy budget diagnostics still are a very useful method to assess the quality of the products. And indeed, some diagnostics show quite good agreement, e.g. the mean annual cycle of the atmospheric energy transports, as shown by the authors. Moreover, other studies found quite good agreement also for oceanic transports (Uotila et al. 2019; Mayer et al. 2019) or seasonal trends in the budgets (Mayer et al. 2016). For the decadal variability, it should be kept in mind that relative changes on these timescales are really small (a few percent of the total transport), which is very hard to get right given the permanently evolving observational system (in both atmosphere and ocean). So I suggest to soften the conclusions (and abstract) in that regard and say that care should be taken when doing this kind of evaluations and that robustness of results must be assessed through intercomparison (as the authors did).
P6L15: Attributing differences between these very different ocean products to resolution will be difficult as there are many other differences, such as in the forcing and data assimilation.
Section 2.3.1: The authors nicely discuss mass imbalances and how they can be corrected for. However, the authors do not describe which fields they use in practice. While earlier studies have detailed this for ERA-Interim (and JRA55 is very similar structure-wise), I am not aware of a detailed description of the mass adjustment for MERRA2. This would certainly be of interest, given that MERRA2 is very different from the ECMWF reanalyses in many regards. Also, suboptimal implementation of the correction for MERRA2 may also explain why ERA-Interim and JRA55 results are quite similar, while MERRA2 results look different.
P9L9: the varying sea surface height is not a strong argument against doing a barotropic mass adjustment in the ocean: most of the local sea level change is due to steric changes, rather than ocean mass changes. So ocean bottom pressure would be the appropriate quantity. Also, as I wrote in my first review, we tested these things in our own work and I can say that mass imbalances are not present in the NEMO model, i.e. the divergence of ocean currents is consistent with bottom pressure changes up to very high accuracy (see also the NEMO documentation). What you could say instead is that there is a mass imbalance (in the sense of non-vanishing lateral divergence) in the stemming from P-E and small hard-to-diagnose budget terms.
P9L21: It is unclear to me how you do the calculation. You are writing about “integrals along the zonal direction of the native grid”. Instead, one has to perform “zig-zag” line integrals (including zonal and meridional transports to close the line) on the native grid in order to get transports across a circle of latitude. Can you clarify how you do these computations?
P9L23: Use of monthly ocean data for computation of transports is particularly problematic in regions with eddy activity. The authors could use SODA3 data (from which they do have daily data) to estimate the error of neglecting sub-monthly variability as a function of latitude.
Section 3.3: Many results in this section obviously are not robust at all. While it is of value to point this out, I do not think it makes sense to discuss them too much in detail. There is too much discussion of things that may be spurious. Also, I am unsure whether it is meaningful to regress pan-arctic atmospheric fields onto OMET, where OMET leads by one month. How would OMET impact SLP one month later? It may make more sense to, e.g., regress OMET with SLP at zero lag, as surface winds drive ocean surface currents. The reverse impact of OMET on SLP is probably much weaker.
I also have to come back to the use of sea ice data. I would at least recommend to perform all computations agains an “independent” satellite products, to check how robust the results are. It is not necessary to show extra figures, but it should be checked.
Minor comments:
P1L6: 2010 is inconsistent with Fig 4b and P11L32, which indicates good agreement from ~2007 onward
P1L11: “among all the chosen” sounds a bit bold given that you only use 3 atmospheric reanalyses. Better to remove “all”.
P2L27: remove “of” before “OHC”
P2L30: insert “the” before “understanding”
P3L8: Why “ARRAY” in capital letters? It is not an acronym, so I would recommend “array”.
P4L3: “higher” (than what?) -> “high”
P4L3: I disagree with “due to the need”. Budget diagnostics are certainly not the main reason for having reanalyses with high resolution. In fact it is the other way round: they have high resolution and thus “enable” energy budget diagnostics
P4L4: “It is preferable…” This statement is obvious and can be removed.
P5L16: “generates data using 4D-Var assimilation” -> “generates atmospheric state estimates using 4D-Var data assimilation”
P5L20: Could add that this data comes on a 256x512 gaussian grid
P5L26: add “Incremental Analysis Update (IAU)” before “assimilation”
P5L27: preceding -> predecessor
P5L2: insert „the“ before „Japan“
P5L4: “assimilated observations” -> “assimilated upper air observations”
P5L5: “level” -> “grid”
P5L15: “at” -> “in the”
P5L16: The last sentence contradicts the statement above that high temporal resolution is needed for the presented diagnostics
P5L21: approximate -> approximately
P5L27: What does “mainly” mean here?
P6L9: remove “of” after “comprises”
P6L18: remove “climatological”
P7 equation 1: “internal energy” is c_v*T, NOT c_p*T
P7L9: Lv should be higher, something like 2.5e6
P8 equations 4 and 5: add a dot after the nabla operator
P9L1: I would prefer to have K instead of °C in the units
P9L6: maybe better “difference” instead of “residual”
P9L14: I presume this is because recirculation is cancelled out?
P9L26: insert “to” before “compare”
P10L1: delete “simply”
P10L7: Is this just a convoluted way of saying that autocorrelation is taken into account?
P10L8: I suggest adding “relatively” before short
P10L15: What is meant by “from 1 to 5”? Is it 1 or 5 or something in between?
P10L19: This is still inaccurate. There is a transport from regions with positive net TOA radiation to regions with negative net TOA radiation.
P11L4: ERA-Interim and JRA55 agree quite well, actually. How about the correlation coefficient?
P11L13: Shouldn’t the ocean currents be implicitly affected by this?
P11L20: This is just a suspicion. How can you be sure about this statement?
P12L6: I think you mean “correlation”
P12L7: please provide the value
P12L11: neglectable -> small
P12L11: over -> of
P12L11: rest of the paragraph is hard to understand, e.g. what is meant by “This is generally the case”?
P13L4: “make a priori judge” -> cannot judge a-priori
P13L16: NEMO -> OGCM
P13L34: can you provide these values also as a column-average temperature?
P14L37 vs P14L5: aren’t the statements about agreement among the products contradictory?
P23L35: I think you mean issue 2 of the ocean state report, which appeared in 2018.
Figs 9-12: Maybe better to stipple statistically significant values. Also, have fields like SIC been de-trended before performing regression?
General comments:
I would strongly recommend to let the manuscript check for language. There are several sentences that sound very sloppy and/or are hard to understand (e.g. P2L12, P10L10). I am not an English native speaker – so I will refrain from making suggestions.
There still seems to be some confusion about the spelling of reanalysis/reanalyses. In my opinion, “reanalyses” should only be used when standing alone and when plural is meant. In combination with “dataset”, it should always be “reanalysis”, i.e. “reanalysis data set” for singular and “reanalysis data sets” for plural. Please modify accordingly.
References:
Mayer, M., L. Haimberger, M. Pietschnig, and A. Storto, 2016: Facets of Arctic energy accumulation based on observations and reanalyses 2000–2015. Geophysical research letters, 43.
——, S. Tietsche, L. Haimberger, T. Tsubouchi, J. Mayer, and H. Zuo, 2019: An improved estimate of the coupled Arctic energy budget. in press, https://doi.org/10.1175/JCLI-D-19-0233.1
Uotila, P., and Coauthors, 2019: An assessment of ten ocean reanalyses in the polar regions. Climate Dynamics, 52, https://doi.org/10.1007/s00382-018-4242-z. |