the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Sensitivity of Neoproterozoic snowball-Earth inceptions to continental configuration, orbital geometry, and volcanism
Julius Eberhard
Oliver E. Bevan
Stefan Petri
Jeroen van Hunen
James U. L. Baldini
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- Final revised paper (published on 06 Nov 2023)
- Preprint (discussion started on 20 Jun 2023)
Interactive discussion
Status: closed
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RC1: 'Comment on cp-2023-38', Yonggang Liu, 15 Jul 2023
Eberhard et al did a comprehensive study on the influence of three factors, i.e., continental configuration, orbital geometry, and volcanism, on the inception of Neoproterozoic snowball Earth. A simple model was employed which might give some artifacts in their results, but it is more practical to use such a model if one wants to carry out the number of simulations done in this manuscript.
They found that the continental configuration had a surprisingly large impact on the CO2-threshold below which the Earth climate would enter a snowball state, ~200 ppmv for an idealized dispersed configuration while ~20 ppmv for a polar-supercontinent configuration. The useful new information they provide is that the more realistic continental configuration has an intermediate CO2-threshold. The orbital geometry also had a large impact on the CO2-threshold, with the high-obliquity low-eccentricity cases generally more susceptible to formation of a snowball Earth than other configurations. The global mean surface temperature can vary by as much as ~3 °C when the orbital geometry changes. This is similar to what was obtained recently for a mature snowball Earth (https://doi.org/10.1175/JCLI-D-23-0041.1), except there the relationship between temperature and orbital geometry was more complex due to the contrast in surface albedo between ice and snow.
They also obtained some interesting results on the influence volcanic eruptions on climate. A sequence of volcanic events will cool the global climate due to frequent small eruptions and an exceptionally large event may trigger a snowball Earth. This is unsurprising, but the authors showed the large events might kick the global climate into certain intermediate attractors temporarily which would otherwise not accessible if the external forcing is varied in a quasi-equilibrium way.
Overall, the results contribute to field of snowball Earth study and the manuscript is well written, I suggest a minor revision.
Comments:
- A description of land surface albedo should be provided since it is important for understanding the why continental configuration can have such a large impact on the CO2-threshold.
- L307-308. The meaning of this sentence is unclear.
- ‘can attest to these observations’ is ambiguous, it’d better be rewritten.
- L382-383. It is strange to me why the high-latitude continent has little snow on it in their model. Is it sublimated quickly? Similar puzzle appears at L424-426.
- The darkening effect of volcanic ash on snow and ice should be mentioned near the end manuscript. The ash, like dust, decreases the surface albedo of snow and ice when deposited and causes warming. The warming effect is significant when ice and snow are extensive on the globe, and has been demonstrated for both the snowball Earth (https://doi.org/10.1175/JCLI-D-20-0803.1) and the Last Glacial Maximum (https://doi.org/10.1029/2021GL096672). It is thus unclear to me whether a large volcanic eruption would be able to trigger a snowball Earth when such effect is considered in the model.
Citation: https://doi.org/10.5194/cp-2023-38-RC1 -
AC1: 'Reply on RC1', Julius Eberhard, 08 Aug 2023
We would like to thank the referee Yonggang Liu for his careful reading and valuable review of our manuscript. His comments and suggestions will clearly improve the paper. In the following, we respond to the referee according to his five comments, typeset in italic font.
1. A description of land surface albedo should be provided since it is important for understanding the why continental configuration can have such a large impact on the CO2-threshold.
Thank you for this helpful suggestion. We agree that the albedo of the land surface is, similarly to the cryosphere albedos, an important factor in the global energy balance. The albedo of land surface (bare soil) is 0.3 (infrared) and 0.15 (visible/ultraviolet radiation). We will add a sentence on the albedo of bare soil and, for completeness, ocean (having an albedo between 0.05 and 0.2) in the second paragraph of Section 2.1.
2. L307-308. The meaning of this sentence is unclear.
Thank you for pointing out this unclarity. In Section 5.2, we show that the response to single volcanic perturbations can differ—in some cases drastically—depending on the initial conditions, i.e. which attractor we let the perturbations act upon. With the sentence L306–308 we aim to clarify that this particular dependency on initial conditions is, in many cases, no longer given for sequential eruptions. The reason is that, starting from the warmest attractor, repeated perturbations often push the climate towards the coldest (non-Snowball) attractor in a matter of a few hundred or thousand years. Then, the response to the volcanic sequence is very similar to the case of initialising the model on the coldest (non-Snowball) attractor. We agree that understandability would benefit from a few improvements to the sentence, and we will modify the sentence to make it clearer.
3. 'can attest to these observations' is ambiguous, it'd better be rewritten.
Thank you for this comment. With this sentence we aim to point at the similarity between the results of the Sturtian and the Marinoan simulations. We will amend the sentence to remove the ambiguity.
4. L382-383. It is strange to me why the high-latitude continent has little snow on it in their model. Is it sublimated quickly? Similar puzzle appears at L424-426.
Lines 382–383 refer to the dispersed continental configuration, featuring both a continent centred at the North Pole and a continent covering the South Pole, but allowing ocean bays to come close to the pole. In the model diagnostics, we see a significant difference in the annual-mean snow cover. The zonal mean of this can be seen in Figure 4Ai (which the referee's comment refers to). In the globally-resolved picture (not shown in the paper), snow cover and snowfall rates are especially high within some distance to the coastlines. Probably due to the different shapes, the northern continent has a rather large interior with little snowfall rates, while these regions are sparse and much smaller on the southern counterpart. Regarding snow sinks, both continents have no melting during most of the year except for a pronounced melting peak around their respective summer solstice (June in the north, December in the south). This melting event is larger on the northern than the southern continent. Sublimation does not happen on both continents at any time. Our conclusion is that the low snow cover on the norther continent is a result of low snowfall rates over its interior and melting events during summer.
For large parts of the polar supercontinent, we observe a similar situation as for the northern continent in the dispersed configuration (low snowfall rates and large distance to the coast).
5. The darkening effect of volcanic ash on snow and ice should be mentioned near the end manuscript. The ash, like dust, decreases the surface albedo of snow and ice when deposited and causes warming. The warming effect is significant when ice and snow are extensive on the globe, and has been demonstrated for both the snowball Earth (https://doi.org/10.1175/JCLI-D-20-0803.1) and the Last Glacial Maximum (https://doi.org/10.1029/2021GL096672). It is thus unclear to me whether a large volcanic eruption would be able to trigger a snowball Earth when such effect is considered in the model.
Thank you very much for this comment. We think that you highlight an important point. Volcanic ash is not considered in our simulations and the model does not include any dust dynamics. We will add a sentence on this limitation in the model-description section (2.1) and discuss how this might affect our results in the conclusion.
Citation: https://doi.org/10.5194/cp-2023-38-AC1
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RC2: 'Comment on cp-2023-38', Dorian Abbot, 26 Jul 2023
Overview: The purpose of this paper is to investigate the relative importance of factors influencing the initiation of snowball episodes, including continental configuration, orbital geometry, and short-term volcanic cooling. The paper presents the results of a multitude of simulations using an intermediate complexity climate model, which is a good choice given the large number of simulations. The main conclusion is that continental geometry has the largest impact on the CO2 of snowball initiation, although the range is dominated by idealized configurations. When only reconstructed continental configurations are considered, all three factors investigated (continental configuration, orbital geometry, and short-term volcanic cooling) have a similar effect on the CO2 of snowball initiation, changing it by up to about 30–40%. The paper is interesting and is a useful contribution to the literature. It is basically ready for publication; my comments are minor.
Bigger Comments:
1. Shorten paper: I think the paper would be easier to digest if it were a little shorter. I would go through all the text and figures in the paper carefully and determine what is necessary to show and explain the main conclusions. I would move everything that is not necessary to supplemental material. This is just a suggestion though, and is not required for the paper to be published.
2. Changes in CO2 threshold: The radiative forcing of CO2 is approximately logarithmic. This means that reporting changes in the CO2 in ppm (linearly) does not make sense. A change of 30 ppm on a background concentration of 10 ppm is enormous, but a change of 30 ppm on a back- ground state of 300 ppm is small. All the references to changes in the CO2 threshold throughout the paper should therefore be changed to percentage change, rather than ppm change. So, for example, an increase from 100 ppm to 130 ppm should be reported as a 30% increase in the CO2 threshold, rather than a 30 ppm increase in the CO2 threshold.
Smaller Comments:
1. SW and meridional heat flux compensation: In most of the plots examining differences between climate states using the 1D analysis framework, the shortwave and meridional flux terms compensate and nearly cancel out. It seems like this is something worth understanding and remarking on. Also, is there some identifiable process that determines their sum?
2. Continent map insets: Figures 4, 6, A3, A4, and A5 have small insets of the continental configurations. It would help the reader to add some marks for latitude, maybe every 30 degrees, since the latitude is referred to sometimes in the text.
3. Obliquity effect: The authors attribute the cooling with increasing obliquity to “a shift of the sea-ice margin to lower latitudes caused by the more evenly distributed annual-mean solar flux.” I wonder if another important factor is the background albedo distribution. Since the albedo is low at low latitudes and high at high latitudes, the insolation-weighted global-mean albedo will increase as the obliquity increases (in the range considered), which could also explain the observed cooling as the obliquity increases. This would be easy to miss using the 1D analysis framework because a local warming due to more shortave at high latitudes would actually lead to global cooling as more of the shortwave would be concentrated in a high albedo region.
Citation: https://doi.org/10.5194/cp-2023-38-RC2 -
AC2: 'Reply on RC2', Julius Eberhard, 08 Aug 2023
We would like thank the referee Dorian Abbot for his positive, detailed, and very helpful review. The paper will see a considerable improvement due to the critique. In the following, we respond to the referee according to his two bigger and three smaller comments, typeset in italic font.
Bigger Comments:
1. Shorten paper: I think the paper would be easier to digest if it were a little shorter. I would go through all the text and figures in the paper carefully and determine what is necessary to show and explain the main conclusions. I would move everything that is not necessary to supplemental material. This is just a suggestion though, and is not required for the paper to be published.
Thank you for this suggestion. We see the difficulty of reading through a very long paper and were aware of this issue during preparation of the manuscript. During revision, we will try to shorten the manuscript wherever possible, especially in Sections 2.2, 2.3, and 5.2.
2. Changes in CO2 threshold: The radiative forcing of CO2 is approximately logarithmic. This means that reporting changes in the CO2 in ppm (linearly) does not make sense. A change of 30 ppm on a background concentration of 10 ppm is enormous, but a change of 30 ppm on a back- ground state of 300 ppm is small. All the references to changes in the CO2 threshold throughout the paper should therefore be changed to percentage change, rather than ppm change. So, for example, an increase from 100 ppm to 130 ppm should be reported as a 30% increase in the CO2 threshold, rather than a 30 ppm increase in the CO2 threshold.
We are very grateful to you for pointing this out. It is a justified objection and we plan to change all occurrences in the paper accordingly.
Smaller Comments:
1. SW and meridional heat flux compensation: In most of the plots examining differences between climate states using the 1D analysis framework, the shortwave and meridional flux terms compensate and nearly cancel out. It seems like this is something worth understanding and remarking on. Also, is there some identifiable process that determines their sum?
Thank you for making this point. It is true that the meridional heat flux often seems to partly offset a certain warming or cooling caused by changes in the shortwave flux. Our working hypothesis is that the heat flux has this compensating tendency because, by and large, the atmospheric heat transport is described as a "macroturbulent" diffusive process in the atmosphere model POTSDAM-2 (see reference Petoukhov et al., 2000, in the manuscript). The observation that meridional heat flux and shortwave radiation appear to nearly cancel out is probably owing to the fact that the net shortwave radiation often is the cause for local temperature changes and thus meridional temperature gradients, which the meridional flux then acts to partly offset; in comparison, the longwave contribution is less localised and therefore yields less pronounced changes in the divergence of the meridional heat flux.
Given that the longwave contribution is mostly reflecting local positive feedbacks involving water vapour and clouds, we consider it plausible that the sum of the shortwave and the meridional-heat-flux contributions can represent some kind of efficiency of the meridional heat flux in offsetting temperature differences: the larger it is, the less pronounced this tendency is.
The meridional heat transport only rarely determines the sign of the local temperature change. In most cases, the sum of shortwave and longwave contribution dominates whether there is cooling or warming—exceptions being the polar regions in Figures 4Ai and A4.Ai, and middle latitudes in Figure 8Ai, where the meridional heat transport 'tips the sign'. However, one should also keep in mind that, by construction, the global integral of the meridional heat-flux divergence is close to zero.
2. Continent map insets: Figures 4, 6, A3, A4, and A5 have small insets of the continental configurations. It would help the reader to add some marks for latitude, maybe every 30 degrees, since the latitude is referred to sometimes in the text.
This is a good suggestion, which we are going to implement in the revised version of the manuscript.
3. Obliquity effect: The authors attribute the cooling with increasing obliquity to "a shift of the sea-ice margin to lower latitudes caused by the more evenly distributed annual-mean solar flux." I wonder if another important factor is the background albedo distribution. Since the albedo is low at low latitudes and high at high latitudes, the insolation-weighted global-mean albedo will increase as the obliquity increases (in the range considered), which could also explain the observed cooling as the obliquity increases. This would be easy to miss using the 1D analysis framework because a local warming due to more shortave at high latitudes would actually lead to global cooling as more of the shortwave would be concentrated in a high albedo region.
Thank you for this interesting comment. In fact, this hypothesis was discussed at a very early stage of manuscript writing. While we think that there may be a general cooling contribution from this effect for increasing obliquity in climate states with ice caps, there is an issue in attributing this effect: increasing the obliquity comes with an increase in seasonality, which is especially pronounced over the polar regions. Why a hemispheric ice extent increases or decreases under such an increased seasonality is difficult to assess under steady-state conditions, since many processes and feedbacks may play a role. In general, the ice extent can change, meaning that the insolation-weighted global-mean albedo would change already due to local albedo changes.
Furthermore, numerous studies (cited in L505 of the manuscript) report a warming under increased obliquity. If the cooling effect of insolation-weighted albedo plays a role there, it obviously will not dominate the other mechanisms.
Citation: https://doi.org/10.5194/cp-2023-38-AC2
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AC2: 'Reply on RC2', Julius Eberhard, 08 Aug 2023
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RC3: 'Comment on cp-2023-38', Aiko Voigt, 02 Aug 2023
Review of Sensitivity of Neoproterozoic Snowball-Earth inceptions to continental configuration, orbital geometry, and volcanism by Julius Eberhard et al., Climate of the Past, 2023
Aiko Voigt
The authors present a very comprehensive set of sensitivity studies regarding factors that can modulate the sensitivity of Earth to enter a Snowball Earth. The range of the sensitivity studies is impressive. Still, the authors manage to describe their results in a very accessible manner, in particular in the conclusion section, which is not an easy task. I only do have some minor comments and recommend publication essentially as is.
Minor comments:
L168: What are the values for land and snow albedo?
L194: I assume this means distinguishable in terms of the annual and seasonal distribution of solar irradiance at TOA?
L203: Out of curiosity, how many years per day can be simulated with the Climber model?
Tab. 3: I was initially not sure what is meant by "initial partially ice-covered attractor" in the fourth column of Tab. 3. It becomes clear later in the text, but could also be explained here in the table caption.
L310: What is the thinking behind the approach to have a long volcanic forcing followed by no volcanic forcing?
L333: I am not sure I follow, should eps not be around 0.7, at least in a present-day like climate? It might be closer to 1 in a colder Snowball-like climate, of course.
Reading my own PhD thesis again, I realized that the argument I made was not that eps \approx 1 but that for typical values of \eps of around 0.7, the fourth root is sufficiently close to 1. This is different from what the authors write here.L350: Note: this is consistent with Voigt et al, 2011, where we also found that shifting higher albedo land to the tropics cools the planet by increasing the reflection of shortwave radiation, for the simple reason that insolation is higher in the tropics.
L394: Isn't this obvious? I.e., it describes the water vapor feedback, which of course is a feedback controlled by the temperature dependence of humidity.
L460: I am not sure I understand what is meant with "requires a lower greenhouse influence to negate".
L676: importance --> important
Fig. 13: Why are there no y-labels for the absolute frequency plots?
L705 and other parts in the manuscript: The effect is given in absolute numbers, i.e., in ppmv of CO2. Yet, the radiative forcing of CO2 is logarithmic and depends on the reference CO2. Thus, I think it would be helpful if the numbers could be put into context by either also mentioning the reference CO2 content or by converting them into a TOA radiative forcing.
L722: "similarly as single"? rephrase?
L727: Since some of the key results depend on it: how robust is the Hadley state? Is it a Climber-specific feature, or do the authors think it should also occur in other models, especially GCMs with actual atmospheric dynamics? This should be discussed I think.
L737: For the Snowball Hadley cell, please do not cite my PhD thesis but instead my corresponding paper in J. of Climate: Vogt, Held, Marotzke, 2011, https://doi.org/10.1175/JAS-D-11-083.1. Thanks!
The title of Appendix B should come after Fig. A4.
Citation: https://doi.org/10.5194/cp-2023-38-RC3 -
AC3: 'Reply on RC3', Julius Eberhard, 08 Aug 2023
We would like to thank the referee Aiko Voigt for his positive review and constructive criticism. His comments and corrections will certainly improve the paper. In the following, we individually reply to the comments, typeset in italic font.
1. L168: What are the values for land and snow albedo?
Values for the land-surface albedo (bare soil) are indeed missing in the manuscript. They are 0.3 (infrared) and 0.15 (visible/ultraviolet radiation). During revision, we will add this information, together with the open-ocean albedo, to the model description (Section 2.1). In that section (L125–128), snow albedos are already described.
2. L194: I assume this means distinguishable in terms of the annual and seasonal distribution of solar irradiance at TOA?
The argument of perihelion (ω) indicates the time of year when Earth comes closest to the Sun. For a circular orbit, i.e. e = 0, the Sun–Earth distance is constant and ω is meaningless. In consequence, it is true that the annual and seasonal distribution of solar irradiance is indistinguishable.
3. L203: Out of curiosity, how many years per day can be simulated with the Climber model?
On PIK's current high-performance compute cluster, 100 model years in CLIMBER-3α were simulated in 9 hours, i.e. around 267 model years per day on a single CPU.
4. Tab. 3: I was initially not sure what is meant by "initial partially ice-covered attractor" in the fourth column of Tab. 3. It becomes clear later in the text, but could also be explained here in the table caption.
Thank you, this is a valid point. We will change the table caption accordingly.
5. L310: What is the thinking behind the approach to have a long volcanic forcing followed by no volcanic forcing?
Thank you for pointing out the unclarity. The idea behind this simulation design was to ensure that we do not miss Snowball inceptions because the simulations might just end 'on their way' to a Snowball state. Since we know that it takes at least 1000 years for the model to relax to a partially ice-covered attractor, we consider it appropriate to give the model this amount of time without perturbations before judging whether or whether not it enters a Snowball state.
6. L333: I am not sure I follow, should eps not be around 0.7, at least in a present-day like climate? It might be closer to 1 in a colder Snowball-like climate, of course. Reading my own PhD thesis again, I realized that the argument I made was not that eps \approx 1 but that for typical values of \eps of around 0.7, the fourth root is sufficiently close to 1. This is different from what the authors write here.
Thank you for the hint, you are right. We accidentally missed the fourth root in the expression, it should read ε1/4 ≈ 1. We will correct the error during revision.
7. L350: Note: this is consistent with Voigt et al, 2011, where we also found that shifting higher albedo land to the tropics cools the planet by increasing the reflection of shortwave radiation, for the simple reason that insolation is higher in the tropics.
Thank you for pointing this out. Yes, we see similar effects of increased albedo in the tropics, as discussed in the different subsections 3.1.1–3.1.3. Nevertheless it might help the reader to state this general relationship in a separate place, and we will add such a sentence in the paper.
8. L394: Isn't this obvious? I.e., it describes the water vapor feedback, which of course is a feedback controlled by the temperature dependence of humidity.
We agree that the existence of a feedback is quite obvious here. What was intended to say in L394/395 is that we do not expect primary reasons for a certain emissivity-induced warming/cooling other than the pure water-vapour feedback. However, as we discuss in the following three sentences (L395–399), there is an additional contribution from changing cloud cover.
9. L460: I am not sure I understand what is meant with "requires a lower greenhouse influence to negate".
In the sentence L459–461, we mean that in comparison to the Sturtian Snowball event, the higher insolation during the Marinoan yields, at global radiative equilibrium, also a higher rate of longwave emission. For a given CO2 concentration, the global surface temperature is therefore higher than for the Sturtian conditions. Thus, in order to reduce the surface temperatures as far as necessary for a Snowball inception, the critical greenhouse-gas concentration has to be smaller (= "the greenhouse influence to negate has to be lower") than for Sturtian conditions. The wording may be too opaque for many to understand, and we will change it during revision.
10. L676: importance --> important
We agree that replacing "of importance" by "important" would improve the readability. We will change the wording according to your suggestion.
11. Fig. 13: Why are there no y-labels for the absolute frequency plots?
This is a valid objection. When preparing the manuscript, we thought that providing y-labels would not add much relevant information. Absolute frequencies, on the one hand, would depend on the length of the volcanic forcing, making them comparable within our study but not beyond it. Relative frequencies, on the other hand, would still (as absolute frequencies, too) depend on the size of bins subdividing the x-axis. However, for clarity of the figure, we will add absolute frequencies to the axis.
12. L705 and other parts in the manuscript: The effect is given in absolute numbers, i.e., in ppmv of CO2. Yet, the radiative forcing of CO2 is logarithmic and depends on the reference CO2. Thus, I think it would be helpful if the numbers could be put into context by either also mentioning the reference CO2 content or by converting them into a TOA radiative forcing.
Thank you for this important suggestion. We agree with the problem of specifying CO2 changes without reference. We would like to suggest to modify the manuscript in such a way that all differences in CO2 concentration are indicated as percentage change.
13. L722: "similarly as single"? rephrase?
"Similarly as" is used here synonymously with "in a similar way as". We agree that its meaning is not unambiguous here and will rephrase it during revision.
14. L727: Since some of the key results depend on it: how robust is the Hadley state? Is it a Climber-specific feature, or do the authors think it should also occur in other models, especially GCMs with actual atmospheric dynamics? This should be discussed I think.
Thank you for this comment. It is indeed a relevant feature in the CLIMBER-3α model, but we think that the Hadley states have a reasonable physical foundation and similar states appear in a series of three studies by Jun Yang and colleagues, see the discussion in Feulner, Bukenberger, and Petri (2023), Earth Syst. Dynam., Section 4 (https://esd.copernicus.org/articles/14/533/2023/esd-14-533-2023.html). In L739–741 of our manuscript, we write essentially the same and cite the three references.
15. L737: For the Snowball Hadley cell, please do not cite my PhD thesis but instead my corresponding paper in J. of Climate: Vogt, Held, Marotzke, 2011, https://doi.org/10.1175/JAS-D-11-083.1. Thanks!
We will change the citation as you suggested.
16. The title of Appendix B should come after Fig. A4.
This is right; the wrong formatting was an unintentional result of the PDF compilation with pdfTeX.
Citation: https://doi.org/10.5194/cp-2023-38-AC3
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AC3: 'Reply on RC3', Julius Eberhard, 08 Aug 2023