the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A methodology for tracking cold spells in space and time: development, evaluation and applications
Abstract. Cold spells, identified as periods of prolonged extreme low temperatures, are often analysed in an Eulerian framework or through the use of case studies. However, this restricts information about their spatio-temporal evolution and limits the ability to compare analogous events that share similar developments. This study identifies cold spells as a series of geographical objects that are connected across subsequent time-steps. These objects are characterised by persistent low-temperature anomalies and can be grouped into the same event by using a connected component method, previously applied to heatwaves. This work extends this method further by taking into account advection by the tropospheric mean wind. We also extend the methodology to filter quasi-stationary events that may have different drivers to transient events. Once catalogued, the cold spells are easily accessed based on their properties, location, or time period for further study. This study applies the cold spell identification methodology to the European Centre for ECMWF Reanalysis v5 (ERA5) dataset to develop a climatology of cold spells in the Northern hemisphere, establishing their seasonal variations and associated patterns of atmospheric circulation. We compare the results to an existing Eulerian based methodology and explain some reasons for differences in the cold spells identified. This study also demonstrates the typical pathways by which cold spells reach regions of East Asia, Europe and North America.
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Status: open (until 16 May 2025)
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RC1: 'Comment on egusphere-2025-1014', Anonymous Referee #1, 07 Apr 2025
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Review of A methodology for tracking cold spells in space and time: development, evaluation and applications by Osmolska et al.
The study introduces a new method for identifying and analyzing cold spells (CS) by treating CS as connected spatio-temporal objects rather than using traditional Eulerian frameworks or case studies. Using the ERA5 reanalysis dataset, the study develops a Northern Hemisphere climatology of cold spells, examining seasonal variations and associated atmospheric circulation patterns. The results are compared to an Eulerian-based method, highlighting differences in identified cold spells. Additionally, the study maps typical pathways of cold spells affecting East Asia, Europe, and North America.
Overall, the manuscript is well-structured and easy to follow. The methodology described in this manuscript has potential applications in risk assessment, and also sheds new sights on the understanding of the dynamics of CS in the Northern Hemisphere. Thus, I recommend this manuscript for publication pending some minor comments.
- For the advection-based and overlap-based methods, I wonder how many CSs are defined by both methods. For those events only defined by the advection-based method or only defined by the overlap-based method, what are the differences across these events? Are these related to different dynamical processes (e.g., the advection-based method captures some dynamical process that cannot be seen in the overlap-based method) or related to the differences in the methods?
- Page 3. What does the ‘resampled’ mean here? Is the daily average not just simply averaging the hourly data?
- Page 3. L75. Could the authors provide a diagram here to illustrate what the contouring looks like?
- Page 6. L115. How do we know that the early CS first merges in the Ural region and then propagates westward? It seems that Fig. 2 does not indicate a temporal evolution.
- Page 7. L120. How do we know the merged branch is a different branch rather than a branch that was split from a previous CS event?
- Page 8. “CS events can contain multiple branches depending on the number of merges.” Does this suggest that CS events have multiple cold air sources? Or the intrusion pathways?
- Page 8. Figure 3a. I am curious about the new branch 2 at time-step t+1. How does this branch form?
- Page 9. L155. To me, a CS event is typically a synoptic event that lasts for 1-2 weeks. How does this CS event last for 139 days?
- Page 10. L185. Once Alft is applied, why does the number of events increase much larger for advection-based method than for overlap-based method?
- Page 20. For CSs occurring over East Asia, I was wondering what percentage of these CSs originate from Ural regions. Are all of them related to a Ural blocking event? Is there a possibility that the Aleutian low can bring cold air towards East Asia?
- Page 21. Figure 11. What do the authors mean “Day 0 consists of 24 events”? Does this suggest that different lags consist of different numbers of events? Same confusions about the next two plots.
- Page 21-23. Have the authors considered to show a statistical significant test here?
- Page 26. L380. I was wondering if the local wind differences across different regions have a impact on the tracking algorithm
Citation: https://doi.org/10.5194/egusphere-2025-1014-RC1
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