the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A climatological characterisation of North Atlantic winter jet streaks and their extremes
Abstract. The jet stream is a hemispheric-wide mid-latitude band of westerly wind. Jet streaks, which are regions of enhanced wind speed within the jet stream, characterize it locally. Jet streaks are frequent upper-tropospheric flow features that accompany troughs and ridges and form in tandem with surface cyclones. Upper level divergence in their right entrance and left exit regions couples them to surface weather via vertical motion and are regions prone to precipitation formation, which feeds back on the strength of upper level divergence and wind speed via diabatic heat release. This reanalysis-based study presents a systematic characterisation of the life cycle of jet streaks and extreme jet streaks over the North Atlantic during winter, their occurrence during three different regimes of the eddy-driven jet, and their relation to Rossby wave breaking (RWB) from a PV gradient perspective. Extreme jet streaks are most frequent when the North Atlantic jet is in a zonal regime, while they are least common when the jet is in a poleward shifted regime. Maximum wind speed on average occurs on the 329 K isentrope and the peak intensity of jet streaks, defined as the maximum wind speed throughout their evolution scales with the strength of the PV gradient, with mean values of 2.4 PVU (100 km)-1 for wind speeds exceeding 100 m s-1. The peak intensity of jet streaks also increases with their lifetime and extreme jet streaks exhibit a prolonged intensification period rather than increased deepening rates. A positive trend in jet streak intensity appears to be emerging since 1979, but decadal variability still dominates the 43-year time series. A self-organising map technique identifies typical Rossby wave patterns in which jet streaks reach peak intensity and their preferred location and orientation within the large-scale environment. In case of anticyclonic RWB, the jet streak sits upstream of the ridge axis, while in case of no RWB the jet streak is zonally oriented and locates slightly downstream of the ridge axis. In some cases the jet streak is found farther downstream of the ridge axis but surprisingly no well-marked cyclonic RWB is identified at maximum jet streak intensity. As expected, the presence of an extreme jet streak is associated with a meridionally aligned pair of surface cyclones. More specifically, a cyclone is located poleward of an anticyclone plus, in some cases, a mesoscale cyclone upstream of both, which is associated with intense precipitation. This motivates a detailed follow-up study on the relative roles of diabatic and adiabatic processes in the formation of extreme jet streaks.
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RC1: 'Comment on egusphere-2024-1789', Andrew Winters, 15 Aug 2024
Dear Authors,
Please refer to the attached PDF for my review of your manuscript.
Sincerely,
Andrew Winters
- AC2: 'Reply on RC1', Mona Bukenberger, 21 Nov 2024
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AC1: 'Final response on egusphere-2024-1789', Mona Bukenberger, 21 Nov 2024
In response to the two referees comments, we revised the manuscript and answered all their questions and comments in detail.
The most important points are summarized in the attached document, whereas detailed answers to major comments and line-by-line responses to minor comments from both referees can be found in the replies to the respective referees' comments.
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RC2: 'Comment on egusphere-2024-1789', Anonymous Referee #4, 03 Nov 2024
This manuscript, “A climatological characterisation of North Atlantic winter jet streaks and their extremes” by Bukenberger, et al., makes an important diagnostic contribution to the field of mid-latitude atmospheric dynamics. I would certainly like to see this paper published after the authors address the following minor points:
Line 23 – I would suggest: “The jet stream is a band of enhanced westerly winds in the mid- and upper troposphere found in both hemispheres.”
Line 24 - I would suggest adding here one of encompassing textbooks on atmospheric circulation for the benefit of wider audience, e.g., “influences daily-to-weekly weather patterns with its meanderings (Randall, 2015).”
Randal, D, 2015, An introduction to the global circulation of the atmosphere, Princeton University Press, pp 442, ISBN, 9780691148960
Line 40 – I would suggest adding here textbook reference: “Frame et al., 2011, Wilks, 2020). The response …”
Wilks, D.S., 2020, Statistical methods in atmospheric science, 4th ed., Elsevier, https://doi.org/10.1016/C2017-0-03921-6
Line 59 – I would suggest adding here a figure/plot depicting essential 4Q-model schematic for the benefit of wider audience.
Line 74 – I would suggest adding here textbook reference: “The PV Perspective (Hoskins and James, 2014) has been employed to study …”
Hoskins B.J, and I.N.James, 2014, Fluid Dynamics of the Midlatitude Atmosphere, Wiley Blackwell, pp 408. DOI:10.1002/9781118526002
Line 101 – Please justify why are you not considering data from available pre-1979 period? Additional point, could 3-hourly data provide more temporarily resolved insight?
Line 165 – Determining K in K-means clustering approach is one of the most sensitive aspects of such clustering analysis. Hence, please justify how did you set effective/optimal K=3 in your K-means clustering analysis (why not K=2 or K=4 or ...).
Line 172 - When the neighbourhood radius in SOM is set to 0, the SOM reduces to the K-means clustering (i.e., SOM can be perceived as a constrained version of K-means clustering, Hastie, et al., 2009). Please elaborate your choice of using SOM here instead of also K-means clustering (that is also unsupervised clustering technique).
Hastie, T., R. Tibshirani, and J. Friedman, 2009: Unsupervised learning. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Springer, 485–585.
Line 550 – I would suggest pointing out that the optimal number of clusters can be substantially dependent on the selected validity index or set of applied validity indices. This should deserve follow-up study (or studies) that could also involve some other state-of-the-art atmospheric reanalysis products such as JMA JRA-3Q and NASA MERRA-2.
Citation: https://doi.org/10.5194/egusphere-2024-1789-RC2 - AC3: 'Reply on RC2', Mona Bukenberger, 21 Nov 2024
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AC1: 'Final response on egusphere-2024-1789', Mona Bukenberger, 21 Nov 2024
In response to the two referees comments, we revised the manuscript and answered all their questions and comments in detail.
The most important points are summarized in the attached document, whereas detailed answers to major comments and line-by-line responses to minor comments from both referees can be found in the replies to the respective referees' comments.
-
AC1: 'Final response on egusphere-2024-1789', Mona Bukenberger, 21 Nov 2024
In response to the two referees comments, we revised the manuscript and answered all their questions and comments in detail.
The most important points are summarized in the attached document, whereas detailed answers to major comments and line-by-line responses to minor comments from both referees can be found in the replies to the respective referees' comments.
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