the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
An extreme cold Central European winter such as 1963 is unlikely but still possible despite climate change
Sebastian Sippel
Clair Barnes
Camille Cadiou
Erich Fischer
Sarah Kew
Marlene Kretschmer
Sjoukje Philip
Theodore G. Shepherd
Jitendra Singh
Robert Vautard
Pascal Yiou
Abstract. Central European winters have warmed markedly since the mid-20th century. Yet cold winters are still associated with severe societal impacts on energy systems, infrastructure and public health. It is therefore crucial to anticipate storylines of worst-case cold winter conditions, and to understand whether an extremely cold winter, such as the coldest winter in the historical record of Germany in 1963 (−6.3 °C or −3.4σ seasonal DJF temperature anomaly relative to 1981–2010), is still possible in a warming climate. Here, we first show based on multiple attribution methods that a winter of similar circulation conditions to 1963 would still lead to an extreme seasonal cold anomaly of about −4.9 to −4.7 °C (best estimates across methods) under present-day climate. This would rank as second-coldest winter in the last 75 years. Second, we conceive storylines of worst-case cold winter conditions based on two independent rare event sampling methods (climate model boosting and empirical importance sampling): winter as cold as 1963 is still physically possible in Central Europe today, albeit very unlikely. While cold winter hazards become less frequent and less intense in a warming climate overall, it remains crucial to anticipate the possibility of an extreme cold winter to avoid potential maladaptation and increased vulnerability.
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Sebastian Sippel et al.
Status: open (until 26 Dec 2023)
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RC1: 'Comment on egusphere-2023-2523', Anonymous Referee #1, 23 Nov 2023
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This study has investigated the likelihood of a re-occurrence of the extremely cold European winter of 1963 under present climate conditions and what such a winter would look like. To investigate this, the authors employ a range of techniques, some involve accounting for the dynamical features which gave rise to the extremely cold winter, while others are standard statistical methods, e.g. extreme value analysis. All the methods gave approximately similar answers, that such an event could occur today but is less likely, and if it did occur, the temperatures would be approximately 1.5 degrees warmer than the original 1963 event.
The paper provides a clear and thorough assessment of the theoretical occurrence of the 1963 winter under today’s climate. It is an interesting study, and would have been more interesting if they had found that the winter could not occur today. However, since the conclusion is that an extremely cold winter from the past is less likely to occur and would be warmer if it did occur under today’s warmer climate is not especially groundbreaking. The paper does raise the issue of mal-adaption by society towards warmer winters, and I think this is very valuable. I also think the comparison of the methods will be of interest to the community. Overall, I would recommend the paper be published with minor revisions.
General Issues
- While the result that the cold winter can still occur and would be warmer is not wholly surprising, the paper does makes a good point that society may be adapting under the assumption of warmer winters while extremely cold winter are still very possible. I think this could be raised up in the paper. Perhaps introducing the idea as part of the motivation for the work so it is in the reader’s minds as they go through.
- It is a potentially provocative finding that the unconditional statistical method of using a fitted GEV gave as good a result as methods which incorporated knowledge of the dynamics. Many statistical based studies are criticized for not including knowledge of the dynamics of a situation, and here we have a case where this knowledge provided no additional benefit, and for an extreme event no less. Obviously, this is a single case and it could be random chance that the statistical method did so well. Given that the authors have used so many different methods, I think it would be a nice addition to the paper for the authors to briefly comment on how the methods compare, especially the unconditional statistical method with the methods incorporating knowledge of the dynamics.
- The title is a little sensationalist and I’d suggest changing it to match the style of the WCD journal.
- The second paragraph in the Results section discusses the failure of models to show pronounced forced changes in atmospheric circulation. This is not a topic that is really investigated by this study. CESM2 simulations were run to perform the model boosting analysis, but there is no assessment of how or why or to what extent CESM2 fails to show forced changes. The discussion reads more like a commentary on the failure of models in this particular aspect, and does feel connected to the rest of the study. If this is a main motivation or theme in this study, then this failure of models should be introduced in the introduction and its implications on the use of model data in this study needs to be assessed, not merely commented on. Without expanding on the issue raised in this paragraph and incorporating it more fully into the study, I’d recommend removing the paragraph, more specifically, sentences from line 204 to 212.
- Figure captions for figures 2, 3, and6 need to be expanded to better explain what is being shown in the figures. This is especially true of figures 3 which is important for the paper.
Minor Issues
24: You use the expression “led to”. This suggests some precession in time, that the pressure anomalies occurred and then afterwards, there was a negative NAO anomaly. Perhaps change to “resulted in” or “comprised”.65-90: The dynamical adjustment method. Is it reasonable to separate the dynamic and thermodynamic influences on surface temperature in such a linear way? Consider adding a sentence or two discussing the caveats or limitations of this assumption/approach.
78: “The first dynamical adjustment approach (dark blue line in Fig. 1) uses ERA5 to train the regression model, and the spatial pattern of sea level pressure (SLP) over a circulation domain over Europe and the North Atlantic.” Possibly it is just my reading of the sentence, but it feels a little awkward. The ‘and’ feels like it is part of the regression statement. Consider changing this to “along with”.
82: Start a new paragraph at “We use a second method…” It provides a cleaning break when reading. Possibly change to “We also use a second…”
169-183: Please revise the structure of this paragraph. It jumps straight into what the method leads to and only describes the method itself towards the end of the paragraph. I suspect this is one of those cases where the author is so familiar with the method, he forgets that the reader may not understand what he is talking about from the beginning.174-181: Please explain in the paragraph why you use the single coldest winter in December for the first boosting, but two coldest Januarys for the second boosting.
176: Please write the dates out in full. Using “01.12 to 15.12” could be written as “1st to 15th December”.
180: Again, write the dates out in full.
219: Remove the double brackets.
245: The return period of the 1963 event was 119 years. For such an event to occur today, the return period would be 371 years. However, the uncertainty for the occurrence today is 97 to 7680 years. That is to say, the return period of the event today may still be 119 years at the 95% level. This should be commented on.
251-252: “This indicates, incidentally, that the storyline approach is not providing larger effects of climate change compared to the probabilistic approach, or possibly exaggerating these effect.” This sentence is confusing. Does this mean the storyline approach is ‘not providing larger effects’ or is exaggerating effects (i.e. to make larger)? These seems to suggest storyline approach either does’t make the effects larger or it does make them larger. Please rephrase the sentence.
259: This is a good point about mal-adaptation. I think it is a shame that this only now appears in the paper and wasn’t raised in the introduction.
270: Change “similarly” to “similar”.
Figure 2: Subplot a needs a grey line in the legend to explain what the grey lines are, and caption could explain how they relate to the blue line. You said (d) shows difference between (c) and (d), think you meant (b) and (c).
Figure 3: This figure needs a lot more explanation in the caption. Possibly, this could be done in part in the paragraph on lines 239-260 where the figure is discussed. Instead of simply making a statement and referencing (Fig.3), instead reference (Fig.3a red line). This would make it easier for the reader to connect the point your are discussing with the specific feature in Figure 3.
Figure 6. This needs more explanation in the caption.
Citation: https://doi.org/10.5194/egusphere-2023-2523-RC1
Sebastian Sippel et al.
Sebastian Sippel et al.
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