the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Southern Europe and western Asian marine heatwaves (SEWA-MHWs): a dataset based on macroevents
Simona Masina
Giuliano Galimberti
Matteo Moretti
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- Final revised paper (published on 21 Mar 2023)
- Preprint (discussion started on 10 Oct 2022)
Interactive discussion
Status: closed
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RC1: 'Comment on essd-2022-343', Anonymous Referee #1, 18 Nov 2022
The manuscript describes a dataset of MHW events built on ESA CCI SST. The dataset is geographically limited to Southern Europe and Western Asia, even if the SST dataset is global. The approach is rooted in Hobday et al 2016 framework, but introducing refined statistical methods for the detection of marine heatwaves.
I have enjoyed reading the manuscript; it is well written, the length is just about right, it is clear and concise. The description of the dataset is appropriate. I easily downloaded the dataset and was able to inspect it without problems.
From a methodological point of view, the manuscript is certainly interesting for the community. The proposed methodology to take into account shifts toward warmer climate is something we have to deal with and the way the authors tackle this is worth reading. The clustering analysis of macro events is valuable, although the authors did not attempt to associate driving synoptic (atmospheric) conditions to each clusters, something that was the reason for the clustering in Stefanon et al 2012. However, this is likely beyond the mere description of the dataset required by ESSD.
Even if I find the methodological part very interesting, I am a little bit doubtful about the relevance of the dataset itself. The reduced geographical boundaries limit the number of potential users, while it would have been straightforward to run the methodology on the global dataset. The STL-method needs to be re-run every time ESA CCI SST is updated (e.g., including recent years), otherwise the dataset gets quickly outdated. The fact that this dataset is inevitably linked to a specific SST dataset may limit the its relevance. Scientists may want to rerun the methodology but on different or newer SST datasets. The significance of the dataset itself, in my opinion, is thus limited.
Specific remarks:
- Geographical names cited in the text should be shown somewhere, to help readers unfamiliar with the region
- Section 3.2 the definition of macro event is >64km2 (4 pixels), while the definition of macro event in 1 is >100000 km2. I think this is confusing and the first definition is not really about “macro events”, maybe the authors should call the filtering out of few pixels in other way.
- Figure 3: it is not clear to me if the % is on counted events in a category or total days within a category
- The title of Cleveland et al 1990 in the references is incomplete. Also, title of figure 2D should be “Remainder”, not Reminders.
- Figure 4C and 4D: 0 in the colorbar should be in white color
- I have the visual feeling that fig6a and fig 6b are not consistent. For example, the average intensity in phase 5 in fig 6a is always >0.5 while in fig 6b it is hardly above 0.5. Am I wrong?
- Line 267 pg 13: “during the last decades (2011-2016)”. 5-years period cannot be decades … also, “as instead reported in Dayan et al., 2022”: you may want to specify why you get different results
Citation: https://doi.org/10.5194/essd-2022-343-RC1 -
RC2: 'Comment on essd-2022-343', Peter Minnett, 24 Nov 2022
The paper reports good work to define marine heatwaves (MHWs) relative to a changing background field of increasing temperatures caused by global warming. The analyses reveal patterns of MHWs in the study area that have distinct, repeatable characteristics. Some of the MHWs are described and discussed, at least to some degree. The product of the analyses is available as a database.
The analysis is sound, and the results appear to be credible. The authors are to be commended for a good piece of work and an interesting paper. The paper is generally well written but would benefit from a few major improvements and many minor ones, given below.
It's as useful for authors to remember the purpose of writing a paper is to convey information and knowledge to their readership. This requires helping the readers to understand the intentions of the authors, and this is not well served by putting up obstacles. It would help here if the figures were positioned close to where they are introduced and discussed in the text. It is tedious and soon becomes irritating to have to scroll forward through several pages to find the figures being discussed, examine them, and then try to find where one left off reading. I found the inclusion of URLs in the text, even though they are in parentheses, to be very disruptive. Would it be better to have the URLs as footnotes? Specialized terms must be well defined and there are several here that are used without an explanation of their meaning. The general quality of the figures is high except for some miniscule, illegible labels, for example in Figure 7. So, help your readers rather than hinder them.
Major comments
The paper would benefit from the addition of a new figure showing the study area with the latitudes and longitudes of the boundaries of the region clearly given. The areas referred to in the text should be clearly identified as not all readers will be familiar with the names of the internal seas of the study area.
A fuller discussion of the CCI SST data that are the input to these analyses is needed. In particular, what are the limitations implicit the CCI SST time series that might result from the availability of L2 data, especially in the early period of the analyses? Which satellites contributed measurements to the time series? How was diurnal heating treated in the generation of the CCI SST fields? And is this a weakness in the SEWA-MHW database given the results of Marullo et al., (2016), who showed neglecting diurnal heating in the Mediterranean Sea has significant consequences? How does the inevitable loss of spatial resolution in going from L2 to L4 in the generation of the CCI SST fields, including filling the gaps in the coverage cause by clouds, influence the contents of your database?
A flow diagram of the data processing to generate the SEWA-MHW would be very useful to the reader, especially if it clearly explains the specific terms, such as “macroevents”, “labels”, and “clusters”, used in the text.
The choice of critical parameters for the generation of your database is quite well justified in the text, but is there a way of ensuring they are optimized to produce correct outcomes? For example, in Figure 5, can you be confident that the green area in the southern Adriatic Sea in the 19/10/1983 chart is distinct from the larger, adjacent lilac area in the Ionian Sea? Similarly, is the red area close to the Turkish coast in the Aegean Sea, that also occurs in the chart of a week later, also distinct? And what about the lilac area near Cyprus that persists over four weeks – is this really part of the larger lilac area that has several disconnected parts? The identification of these is presumably a direct consequence of the algorithms and parameters you selected, but I suspect the algorithms do not consider the physics that cause the MHWs. I appreciate this is not an easy issue to address, but I am sure I will not be alone in wondering whether the extensive lilac areas represent a single macroevent, even though it is fractured, and whether it is different from the green and red areas.
The fact that 4 of the 6 clusters in Figure 8 are close to coasts or in enclosed seas begs the question whether there is a connection to land heat waves. The paper would be strengthened by a discussion of whether or not there is some correspondence to heat waves on the adjacent land.
Finally, I think a good opportunity has been lost by not including relevant meteorological parameters. These could have been taken from ERA5 (Hersbach, H., et al., 2020). These variables would have made the SEWA-MHW database much more attractive to potential users.
References:
Hersbach, H., et al. (2020). The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society. 10.1002/qj.3803
Marullo, S., et al. (2016). The diurnal cycle of sea-surface temperature and estimation of the heat budget of the Mediterranean Sea. Journal of Geophysical Research: Oceans 121. 10.1002/2016jc012192
Minor comments.
Many of the points I identity below are simply the result of carelessness, and would have been readily identified by a spell checker and a grammar checker in a word processing package such as Microsoft Word. I cannot guarantee I have identified all the errors so please run your revised paper through a spell and grammar checker. Other errors, such as citing non-existent figures and the mistake in the date in the caption of Figure 5, would not be caught, so a careful, critical reading of the manuscript is still needed.
Pay attention to how you write “sea” with or without a capital S. When you refer to the name of a particular sea, it is a proper noun and therefore Sea is capitalized. Your choice of Sea or sea appears to be arbitrary.
Some of my comments are intended to improve the language, but if you disagree with them you need not make these changes.
Line 3: macro is a prefix and therefore macroevents is one word. Elsewhere you hyphenate it; the hyphen should be removed. When it is capitalized, only the M should be a capital letter.
Line 11: reconsider the use of the word “pixel”. In most remote sensing papers and discussions pixel is the highest resolution measurement and is the native resolution of the radiometer that has taken the measurement. This is the sense in which Merchant et al. (2019) use the term pixel in their paper describing the production of the CCI SST. I suggest you follow their example, and for the data from the CCI SST that you use, refer to it as a grid point or a grid cell and not a pixel.
Line 16: rephrase “from the open ocean to coastal regions” as this implies that the MHWs somehow propagate or migrate from the open ocean into coastal regions.
Line 18: replace “is completely” with “may be completely”.
Line 33: “global scale” should be “global scales”.
Line 58: “in literature” should be “in the literature”.
Line 126: “In location” should be “with location”.
Line 129: there is no Figure 1c, top panel.
Line 136: “continuous events” should be “single continuous event”.
Line 142: what are the indices that you refer to as start index, end index and index peak? I presume they are related to position of a data point in the time series at a given place. However, while that may make the analysis more straightforward it does not really convey any scientifically useful information to the reader. Perhaps “date” or “day of year” would be better, as that would tell the reader what you are storing.
Line 150: the Strait of Gibraltar is not in your study area. Do you mean the Alboran Sea?
Caption to Figure 1b: the Hobday line is blue not black.
It is quite difficult to discern the differences between STL and Hobday in Figure 1b. It would be useful to have a third panel showing a time series of the differences.
Line 155: replace “over the studied basins” with “in the study area”.
Line 157: where does 4 km come from? As you stated earlier, the CCI SST field has a spatial resolution of 0.05 degrees in latitude and longitude; this is about 5.5 by 4.5 km in your study area. The 0.05 degree is the same resolution as OSTIA, and Donlon et al. refer to it as a ~6 km grid spacing. Is it really a pixel-based data set?
Section 3.2 title: what is a “macro event”? Please define this early in this section.
Line 158: please explain “binary map”. Is it yes or no for a marine heat wave? Correct 4 km. Do you really mean global ocean?
Caption of Figure 2c: what is a “trend cycle”?
Caption of Figure 3a: “number of events” is not very clear. Do you mean the average number of annual events?
Line 166: please explain “structure element matrix”. Is “inspected” the word you really want? The remainder of this paragraph is far from clear, and it should be rewritten.
Line 171: “an unique” should be “a unique”.
Caption of Figure 4: “category” should be capitalized for each panel as you have done in the titles above each panel.
Line 172: rather than “filtering out” would “removing” be better? Why is km in italics? 64 km2 is based on a 4 x 4 km pixel and that is not the case. Here and elsewhere, there should be a space between a number and its units.
Line 176: I suggest changing October,5th to 5th of October. Also, October 19th on the next line.
Line 177: Looking at the figure, I am not sure that the heat wave “almost occupies all of the eastern Mediterranean Sea”. If this were the case, there would be very little white in the area. I suggest you use “extending over much of the eastern Mediterranean Sea”.
Line 185: “well know” should be “well known”.
Line 190: here and for the other phases, I suggest you remove “: it” so that it reads “Phase 1 lasted from…”
Line 191: there is no Figure 3c.
Figure 5: the color bars at the right-hand side convey no useful information and should be removed.
Caption of Figure 5: is it really 2021?
Line 192: I suggest you change “middle July” to either “the middle of July” or “mid-July”. Also, elsewhere in this list.
You might consider putting the information in this numbered list in a simple table as that would be more digestible for the reader.
Line 202: replace “by NOAA-AVHRR” with “derived from NOAA-AVHRR measurements”. Insert a space before Marullo.
Line 203: why is sea surface temperature written in full when you have already used the abbreviation SST in multiple places in this paper?
Figure 6b: what does “event map” mean?
Caption for Figure 6a: what does “active points” mean?
Line 218: remove the second “we”.
Line 220: would “differences” be better than “dissimilarities”?
Line 223: km2 squared should have superscript 2. Replace “around” with “about”.
Line 225: “others” should be “other”.
Line 231: please give a short description of cosine distance as some of your readers will not be familiar with this term.
Line 240: the segment beginning “Moreover” is not very clear and a better discussion is needed, including what we are supposed to understand from the colored shapes in Figure 7b.
As mentioned above in this review, the labels on this plot are much, much too small.
Caption of Figure 7: silhouette and agglomerative should not have capital letters for Figure 7a just as they do not have for Figure 7b. Spaces are needed either side of the =.
Line 245: remove s from MHWs and from events. Do not capitalize Macroevents.
Line 247: A space is needed before intensity.
Line 251: cluster 2 should be capitalized as it is a proper noun. Check elsewhere.
Line 252: why do you mention the Aegean Sea as an exception to the western Mediterranean Sea? I do not think the Aegean Sea is part of the western Mediterranean Sea.
Line 254: remove Island after Cyprus.
Caption of Figure 8: remove “obtained” from in front of clusters. Replace “which belong to” with “of”.
Line 265: I think the summer season could just be summer.
Line 266: similarly, the winter season might just as well be winter. I think “counts” would be better replaced with “produced”.
Line 267: insert “incomplete” after “last“ and remove the s from decades. Remove “with respect to the past”. Replace “is instead” by “this is”. Replace “in” with “by”.
Line 271: you have not discussed the efficiency of the computer code to derive these results, so I suggest you replace “efficient” with “effective”.
Line 272: should the Black Sea also be mentioned given its appearance in Cluster 5?
The sentence beginning “The macro events” is not clear.
Line 276: insert “by” before “analyzing”.
Line 277: use SST instead of sea surface temperature.
Line 278: again, I query 4x4 kilometers.
Line 279: insert “points” after “grid”?
Line 289: again, replace “efficient” with “effective”.
Line 292: remove “in literature”.
Line 300: replace “up to reach a” with “to provide”.
References. Please capitalize all journal titles including those on lines 340, 363, 375, 381, 383, and 398. There may be others. The reference beginning on line 395 is incomplete.
Citation: https://doi.org/10.5194/essd-2022-343-RC2 -
CEC1: 'Comment on essd-2022-343', Giuseppe M.R. Manzella, 28 Nov 2022
Dear Authors
Thank you for your interest in publishing your manuscript in ESSD. I regret to inform you that this manuscript is fitting ESSDscope.
As pointed out by one referee ' From a methodological point of view, the manuscript is certainly interesting for the community. The proposed methodology to take into account shifts toward warmer climate is something we have to deal with and the way the authors tackle this is worth reading. The clustering analysis of macro events is valuable, although the authors did not attempt to associate driving synoptic (atmospheric) conditions to each clusters, something that was the reason for the clustering in Stefanon et al 2012. However, this is likely beyond the mere description of the dataset required by ESSD.'
I need to add that ESSD is requiring data coming from mature methodologies approved by the scientific reference community. Furthermore, a comparison with in situ information is lacking, verification being based on past RS analysis. Finally the methodology is applied only to the Mediterranean and it is not a regional application of a more general 'global' methodology.
In conclusion, the paper is not fitting the ESSD requirements, but it has a scientific value. For this reason we encourage you to submit it to a more appropriate RS journal.
Citation: https://doi.org/10.5194/essd-2022-343-CEC1 -
AC1: 'Reply on CEC1', Giulia Bonino, 30 Nov 2022
Dear Editor Dr. Manzella,
In reply to your decision on our manuscript which surprised us since no clear rejection was suggested by any of the two reviewers, in the following we would like to clarify some points. In particular, we would like to reply to your concerns. We are not trying here to address the reviewers’ comments which we consider very relevant and useful and that could certainly have helped to improve our original manuscript and increase the potential impacts of the data set.
Regarding your comment about the fact that the “paper is not fitting the ESSD requirements”, first of all we are wondering why this concern did not come after the initial evaluation by the handling editor. In the ESSD Section “Interactive Review Process” we read “The handling editor evaluates whether the manuscript is within the scope of the journal and whether it meets basic scientific quality.” A decision at that early stage would have certainly avoided authors and reviewers’ waste of time.
Furthermore, as reported in the ESSD aims and scope webpage (https://www.earth-system-science-data.net/about/aims_and_scope.html) “Earth System Science Data (ESSD) is an international, interdisciplinary journal for the publication of articles on original research data (sets), furthering the reuse of high-quality data of benefit to Earth system sciences.” In our opinion the manuscript fits this aim. We proposed a MHWs dataset based on high-quality data, the ESA CCI SSTv2.1, which can potentially be used for many scientific applications. The SEWA-MHWs dataset is suitable for regional and coastal MHWs studies due to its high horizontal resolution, and the synergistic use of SEWA-MHWs dataset with other model outputs and observation data could help to fill the knowledge gaps about the drivers and the marine ecosystems impacts of these extreme events.
In particular, we are in disagreement with your argument about the fact that methodology applied to compute our dataset is not a “mature methodology approved by the scientific reference community”. As stated in the introduction and highlighted by the referee1, our approach is rooted in Hobday et al 2016 framework, which is, to our knowledge, the only method to identify MHWs still widely used by the scientific community. Hobday et al. (2016) were the first to propose a definition for MHWs, according to which the temperature must be higher than a given percentile (e.g., 90th, relevant to a reference climatology) and must persist for at least five days. This definition has been widely adopted by the oceanographic community (e.g., Holbrook et al., 2019, Oliver et al., 2021, Smale et al., 2019, Sen Gupta et al., 2020). However, by definition, MHW detection is characterised by flexibility in the choice of the set-up parameters (such as the climatology and the percentile threshold). We decided to consider a trend and time-varying seasonality in the baseline climatology estimation. Recent studies show that increases in both the mean SST and the variability of SST due to global warming can lead to increase in warm temperature extremes (Pierce et al., 2012), so that by the late twenty-first century most of the global ocean will reach a permanent MHW state (Oliver et al., 2018; Holbrook et al., 2020; Frölicher et al., 2018). Hoolbrook et al. 2020 and Oliver et al. 2021, in their recent review papers, have suggested that baselines should shift when analysing MHW events under climate change. Saying that, we can conclude that our methodology is perfectly in line with the scientific reference community. On top of that, we would also like to point out that both referees recognize that the methodology is certainly interesting for the community. Secondly, we also think that the in situ information are not necessary to evaluate our dataset. SEWA-MHWs dataset is based on ESA CCI SST data, which are, as reported in the Merchant et al 2019, already evaluated, adjusted and calibrated using in situ observations. Therefore, the uncertainties of our dataset reflect the uncertainties of the ESA CCI SST dataset. We could have provided a detailed description of them in the manuscript referring to Merchant et al. 2019. Nevertheless, it is worth mentioning that we attempted to evaluate our dataset on MHW macroevents in the only possible way, which is comparing our results with existing works in the literature. Lastly, the methodology is applied only to the Mediterranean, but it could be, in principle, applied to the global. Besides the fact that the method is too computational demanding to be applied globally, not all the datasets arise as global. We decided to focus on SEWA basins because they represent a well known "Hot Spot" region for climate change (Giorgi, 2006) which is seriuosly affecting marine biodiversity, especially in the Mediterranean sea (Juza et al., 2022). Moreover, the MHWs Mediterranean community is increasing constantly and new projects that could have benefited from our work have already started (e.g. CareHeat, https://eo4society.esa.int/projects/careheat/).
In addition, according to the ESSD Review criteria webpage (https://www.earth-system-science-data.net/peer_review/review_criteria.html), the data set presented by an article and the article itself has to meet the following criteria: significance, data quality and presentation quality. The significance criteria is divided into three sub-criteria: uniqueness, usefulness, completeness.
Since SEWA-MHWs is the first effort in literature in archiving extreme hot sea surface temperature macroevents, we think that the SEWA-MHWs dataset could be considered as unique. The advantages of the availability of a MHWs macroevents dataset are to avoid waste of computational and/or time resources to process SST data to detect MHWs.
The dataset can be considered useful as well, because, alone or in combination with other data sets, can be used in future interpretations, for the comparison to model output or to verify other experiments or observations. In particular, as stated before, it could help to fill the knowledge gaps about the drivers and the marine ecosystems impacts of these extreme events. For example, compound events have become of particular interest, i.e., when conditions are extreme for multiple potential ocean ecosystem stressors such as temperature and chlorophyll (Gruber et al., 2021, Le Grix et al., 2021). Moreover, our attempt to provide a complete dataset in a consistent framework would increase comparability among MHWs studies that will use SEWA-MHWs dataset and, on top of that, SEWA-MHWs dataset provides a ready-to-use dataset to be compared to other studies which apply different MHW definition, without waste of computational and/or time resources. Lastly, the SEWA-MHWs dataset can be considered complete. It covers the entire period of ESA CCI SST v2.1 and it covers one semi-closed basin and two closed basins. Regarding the data quality and the presentation quality, both referees enjoyed the reading and one of the referees states that the description of the dataset is appropriate and the dataset is easy to download.
Nevertheless, as one of the referee pointed out, we are aware that the dataset has some limitations:
1) The dataset misses recent years. This is certainly true, but we could have overcome this problem keeping the dataset updated any time the ESA CCI SST are updated taking advantage of the ESSD Living Data Process (https://www.earth-system-science-data.net/living_data_process.html). Or we could have, during the review process, expanded the analysis using the data form 2017 to 2022 available in Copernicus CDS (https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-sea-surface-temperature?tab=overview). These data are produced at levels L3C and L4 on behalf of the Copernicus Climate Change Service (C3S) to extend the ESA CCI SST baseline. They are generated using software and algorithms developed as part of the ESA SST CCI.
2) The dataset is inevitably linked to a specific SST dataset. This is certainly true, but we think that it is an intrinsic characteristic of all the datasets that are produced from or reuse high-quality data. Inevitably, they depend on the data used to generate them. Nevertheless, even though the routines are computational and time demanding, we could have provided scripts to rerun the method on new SST dataset.
3) The reduced geographical boundaries limit the number of potential users. This is certainly true, as we reported above, not all the datasets arise as global and for this specific phenomenon the Mediterranean is an hot spot (Garrabou et al., 2009, Giorgi et al. 2006, Cramer et al., 2018, Pastor et al., 2020, see also news on international newspapers or websites e.g. https://www.lemonde.fr/en/environment/article/2022/07/30/marine-heat-waves-mean-deadly-fate-for-large-number-of-mediterranean-flora-and-fauna_5991965_114.html, https://www.esa.int/Applications/Observing_the_Earth/Mediterranean_Sea_hit_by_marine_heatwave, https://www.mercator-ocean.eu/actualites/marine-heatwaves-mediterranean-summer-2022/, https://www.reuters.com/business/cop/mediterranean-marine-heatwaves-threaten-coastal-livelihoods-2022-11-13/). Nevertheless, as stated before, we could have provided scripts to rerun the method over other regions.
REFERENCES:
Cramer, W.; Guiot, J.; Fader, M.; Garrabou, J.; Gattuso, J.P.; Iglesias, A.; Lange, M.A.; Lionello, P.; Llasat, M.C.; Paz, S.; et al. Climate change and interconnected risks to sustainable development in the Mediterranean. Nat. Clim. Chang. 2018, 8, 972–980
Frölicher, T. L., Fischer, E. M., and Gruber, N.: Marine heatwaves under global warming, Nature, 560, 360–364, 2018.
Garrabou, J., Coma, R., Bensoussan, N., Bally, M., Chevaldonné, P., Cigliano, M., et al. (2009). Mass mortality in northwestern Mediterranean rocky benthic communities: effects of the 2003 heat wave. Glob. Change Biol. 15, 1090–1103. doi: 10.1111/j.1365-2486.2008.01823.x
Giorgi, F.: Climate change hot-spots, Geophysical research letters, 33, 2006.
Gruber, N., Boyd, P. W., Frölicher, T. L., and Vogt, M.: Biogeochemical extremes and compound events in the ocean, Nature, 600, 395–407,2021
Hobday, A. J., Alexander, L. V., Perkins, S. E., Smale, D. A., Straub, S. C., Oliver, E. C., Benthuysen, J. A., Burrows, M. T., Donat, M. G.,Feng, M., et al.: A hierarchical approach to defining marine heatwaves, Progress in Oceanography, 141, 227–238, 2016
Holbrook, N. J., Sen Gupta, A., Oliver, E. C., Hobday, A. J., Benthuysen, J. A., Scannell, H. A., Smale, D. A., and Wernberg, T.: Keeping pace with marine heatwaves, Nature Reviews Earth & Environment, 1, 482–493, 2020
Juza, M., Fernández-Mora, À., and Tintoré, J.: Sub-Regional Marine Heat Waves in the Mediterranean Sea From Observations: Long-Term Surface Changes, Sub-Surface and Coastal Responses, Frontiers in Marine Science, 2022.
Le Grix, N., Zscheischler, J., Laufkötter, C., Rousseaux, C. S., and Frölicher, T. L.: Compound high-temperature and low-chlorophyll ex-360
tremes in the ocean over the satellite period, Biogeosciences, 18, 2119–2137, 2021.
Merchant, C. J., Embury, O., Bulgin, C. E., Block, T., Corlett, G. K., Fiedler, E., Good, S. A., Mittaz, J., Rayner, N. A., Berry, D., et al.: Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific data, 6, 1–18, 2019.
Oliver, E. C., Donat, M. G., Burrows, M. T., Moore, P. J., Smale, D. A., Alexander, L. V., Benthuysen, J. A., Feng, M., Gupta, A. S., Hobday, A. J., et al.: Longer and more frequent marine heatwaves over the past century, Nature communications, 9, 1–12, 2018
Pastor, F.; Valiente, J.A.; Khodayar, S. A Warming Mediterranean: 38 Years of Increasing Sea Surface Temperature. Remote Sens. 2020, 12, 2687
Sen Gupta, A., Thomsen, M., Benthuysen, J.A. et al. Drivers and impacts of the most extreme marine heatwave events. Sci Rep 10, 19359 (2020).
Smale, D. A., Wernberg, T., Oliver, E. C., Thomsen, M., Harvey, B. P., Straub, S. C., Burrows, M. T., Alexander, L. V., Benthuysen, J. A., Donat, M. G., et al.: Marine heatwaves threaten global biodiversity and the provision of ecosystem services, Nature Climate Change, 9, 306–312, 2019
Citation: https://doi.org/10.5194/essd-2022-343-AC1
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AC1: 'Reply on CEC1', Giulia Bonino, 30 Nov 2022
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EC1: 'Comment on essd-2022-343', Salvatore Marullo, 30 Nov 2022
Dear Authors,
This comment is just to make my point of view known about the value of the paper and its characteristics with respect to the scope and requirements of ESSD. First of all, I would like to say that I too believe this is a good well-written paper, but I am also sorry to say that it does not fit the requirements of ESSD as suggested by referee 1 and confirmed by the editor-in-chief. For this reason, I too suggest submitting the work to another journal, taking into account the very good suggestions of the two reviewers.
Citation: https://doi.org/10.5194/essd-2022-343-EC1 -
AC2: 'Reply on EC1', Giulia Bonino, 30 Nov 2022
Dear Editor Dr. Marullo,
We aswered in detailed to the editor-in-chief. Please referred to the comment above.
Citation: https://doi.org/10.5194/essd-2022-343-AC2
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AC2: 'Reply on EC1', Giulia Bonino, 30 Nov 2022
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EC2: 'Comment on essd-2022-343', Salvatore Marullo, 01 Dec 2022
Considering your response to the editor's comments and the generally positive comments of the reviewers, I have decided to ask the authors to submit a revised version of the article that takes into account all the comments of the two referees replying directly to each question and/or modifying the article where requested. In particular I suggest to answer in detail to the first referee about the paragraph that is closed by the sentence "...The significance of the dataset itself, in my opinion, is thus limited."
Citation: https://doi.org/10.5194/essd-2022-343-EC2 -
AC3: 'Reply on EC2', Giulia Bonino, 01 Dec 2022
Dear Editor Dr. Marullo,
We thank you for the opportunity to proceed with the review process. We will answer in detail to the reviewers’ comments, which are very relevant and will certainly improve our manuscript.
Citation: https://doi.org/10.5194/essd-2022-343-AC3
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AC3: 'Reply on EC2', Giulia Bonino, 01 Dec 2022
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AC4: 'Comment on essd-2022-343', Giulia Bonino, 19 Dec 2022
Dear Editor Dr. Marullo,
One of the major comment of the reviewer Peter Minnett is: “Finally, I think a good opportunity has been lost by not including relevant meteorological parameters. These could have been taken from ERA5 (Hersbach, H., et al., 2020). These variables would have made the SEWA-MHW database much more attractive to potential users.”
We think that this is a very good suggestion. We are able to include subsets of the ERA5 dataset in SEWA-MHWs dataset. The ERA5 data are freely available at https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview, and our dataset would include subsets of this original dataset with minimal post-processing manipulation on them. For example, starting from the hourly data of ERA5, we can provide daily mean sea level pressure (Mean sea level pressure variable in ERA5 dataset) over SEWA region. Since the additional meteorological variables would be subsets of the ERA5 dataset, is this in line with the policy of the ESSD journal?
Thank you very much
Citation: https://doi.org/10.5194/essd-2022-343-AC4 -
EC3: 'Comment on essd-2022-343', Salvatore Marullo, 19 Dec 2022
Dear Dr. Bonino,
I discussed your question with the chief editor and we concluded that it is possible to include subsets of the ERA5 in the SEWA-MHWs dataset after the minimal post-processing manipulation you proposed. We suggest including the meteorological fields in the same NetCDF files you already submitted to avoid one more DOI for the new dataset. In this case it will be a simple modification of the previous dataset.
Citation: https://doi.org/10.5194/essd-2022-343-EC3