the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Meteorological export and deposition fluxes of black carbon on glaciers of the central Chilean Andes
Rémy Lapere
Nicolás Huneeus
Sylvain Mailler
Laurent Menut
Florian Couvidat
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- Final revised paper (published on 31 Jan 2023)
- Preprint (discussion started on 19 Sep 2022)
Interactive discussion
Status: closed
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RC1: 'Comment on acp-2022-604', Anonymous Referee #1, 17 Nov 2022
The work presented by Lapere and co-authors investigates the seasonal and spatial variability of black carbon deposition fluxes in the Central Andes. The topic is not very well represented in current literature; hence the present manuscript is of scientific interest for ACP. Overall, the manuscript is well written, however, the spatial (regional) and temporal (1 year) scale of deposition analysis is not coherent with wind analysis and observations (which goes from continental to local and from decades to hours). From my point of view, this undermines the conclusive message of the manuscript. I do recommend the authors to work on the manuscript for a second round of review. I hope that the following major and minor comments will help the authors in improving the quality of the present manuscript.
MAJOR COMMENTS
INTRODUCTION: The scientific topic of the paper is clearly the identification of sources of BC in snow. However, the forcing mechanisms, and the climatic implications, in the context of the sever draught currently striking Cile, are not sufficiently explained and/or justified in the introduction. If the mass balance of glaciers is dramatically decreasing, modifying the hydrological balance of the region, also the role of BC and its faith will change in the future. What would be the climatic impact of BC in-snow in the current and future context of a short “snow season” and reduced glacier extent? What will be the impact of massive release of BC from the glaciers on the dissolved organic carbon of rivers, lakes and oceans? These questions, which are often disregarded by the BC atmospheric community, should motivate the authors to extend the motivation of their work in the introduction. I might recommend the following literature: https://doi.org/10.1016/j.gloplacha.2022.103837 ; https://doi.org/10.1016/j.earscirev.2017.09.019 ; https://doi.org/10.1038/s41598-019-53284-1 ; https://doi.org/10.1038/nature04141
SECTION 3.1: This section is particularly long; and, I have the impression that the seasonality and spatial variability of deposition fluxes are repeated multiple times in various subparagraphs and figures. To simplify and shorten the section I recommend the following. 1) Merge Figure 1 and Figure 2, focusing on the seasonality of emissions and deposition fluxes on a larger regional scale, neglecting the direct influence of Santiago emissions (up to me, it is easy to guess that the influence of Santiago emissions will decrease with transport distance). As it is Figure 2 is a mere repletion of Figure 3, with a broader resolution; 2) Focus on the detailed influence of Santiago on the single glaciers as nicely done in Figure 3. Potentially, it might be a good idea to introduce subsections 3.1.1 and 3.1.2.
SECTION 3.2: The authors provide many information on wind conditions, potentially a bit more than needed. The deposition fluxes are based on two months of 2015 (July and January), the synoptic atmospheric circulation is based on 10 years of monthly averaged reanalysis data, the wind profile measurements covers the 2017-2019 period with 3 months average and hourly resolution, and the local ground measurements covers a variable spans of years. It is evident that none of the timescales and averaging periods are coherent. Similar discussion could be done for the spatial scale, the manuscript moves from regional scale in Figure 1,2,3,4 to continental scale in Figure 5 and then local ot punctual in Figure 6,7. The consequent question is, do all these data, directly, support the analysis of BC regional export and deposition for 2 months of 2015? The authors might think of using solely the local data available for 2015, while synoptic scale might stay as it is.
SECTION 3.3: given the wind speed resolution of figure 5, 6, 7 is hard to believe that a change of 0,03 or 0,02 m/s in wind speed would influence export or deposition of BC in 10 years. Similar comment could be done for the 1.4° change in the wind direction for Figure 7. This section is definitely interesting, and should be kept in the final version of manuscript, but the authors should underline the big uncertainty related with this “projection”: standard deviation is approximately 10 time larger than starting and ending values (Fig8a-b); precipitation pattern might change, modifying removal mechanisms; etc … Since no future projections for deposition fluxes are ever shown, this section is mostly based on speculation and open guesses.
SPECIFIC COMMENTS
L27: Is there an estimation of the forcing caused by dust in snow? Is it comparable to BC?
L28-35: Here the authors states that Cile is facing an extreme drought, accelerating the melting of glaciers. One can argue that the absence of precipitation and rise of atmospheric temperature are the leading factors causing glacier melting, rather than BC. I suggest the authors explaining more in details the role or the implication for BC budget in snow at line 34-35.
L51: remove “but”
L153: are these total deposition fluxes (dry+wet)? Worth mentioning.
F1: colour scale reads “molecules s-1 cm-2”. Shouldn’t be “particles s-1 cm-2”?
L159-161: are these studies showing higher BC loading for winter or summer? Are they supporting your deposition seasonal cycle? Without specifying the cycle of BC in concentration in snow, this part of the text does not provide any relevant scientific information and could be easily removed.
L163-168: if the “comparison” with Tibetan Plateau is provided in the discussion section, I suggest to minimize the explanation here and simply report that the deposition fluxes of this study are higher or lower than in other regions.
L227-245: I am quite confused by the dashed line in Figure 4a. This is basically scaled with a constant factor using July emission. It should be shown that deposition fluxes are directly proportional to emission intensity, in the supplementary. Overall, this approach is quite questionable, what would happen when scaling deposition fluxes in July using emissions of January? Figure 4b can go in the supplementary. Second comment, glaciers should also be divided in distance from Santiago (or latitudinal bands), especially in the January period. As shown in Figure 3a, the highest deposition fluxes are in the proximity of Santiago in January, at what altitude are those glaciers?
L249-256: repletion of what already said in L246-249. Group these phrases, avoid repetitions. Do not use “in conclusion”.
L258: what is the pressure or altitude level for wind speed derived from ERA5?
F6 Panel b and c are too detailed, compared to the monthly resolution of deposition fluxes, they should be removed together with the discussion in the text
F4-6: elevation appears to be different or not well labelled (Figure4). Make it consistent.
Section 4: the discussion section repeats, mostly, what already discussed in previous section. Considering the length of the paper, I suggest removing the full section. Part of the section can be implemented elsewhere in the manuscript.
L459: the manuscript does not provide any proof of BC causing faster melting in the Andes. Plus, very little insights are given on the forcing mechanisms of BC in snow. Authors should be more careful on these generic statements.
F8: show standard deviation for both simulations or for none.
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AC1: 'Response to the reviewers', Rémy Lapere, 21 Dec 2022
The comment was uploaded in the form of a supplement: https://acp.copernicus.org/preprints/acp-2022-604/acp-2022-604-AC1-supplement.pdf
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AC1: 'Response to the reviewers', Rémy Lapere, 21 Dec 2022
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RC2: 'Comment on acp-2022-604', Anonymous Referee #2, 27 Nov 2022
Lapere et al., estimate the seasonal and spatial variability of black carbon deposition fluxes in the Central Andes using chemistry-transport modeling. The drivers of urban BC export towards the Andes Cordillera are also presented. As an important short-lived climate forcer, BC can also reduce the albedo of snow/glaciers when it is deposited on them. Due to the limited observations of BC in atmospheric aerosols and snow/glaciers over Chilean Andes, the simulation of BC deposition is useful for reference for its impact assessment (radiative forcing and snow water equivalent of glacier melting) in this region. However, the significance of your study is a little weak, I strongly recommend the authors to add more emphasis to the MS. But for the section 3, 4 and 5, they are too redundant, try to make them clear and concise, especially for 3.1 and 4. I suggest to move section 4 to section 2, or to the supporting information. Overall, I recommend the current MS to be constructed better and discussed more robust. Thus, the current MS need a major review and a second critical review. The major and specific comments are as followed:
- You compare the results with the studies on the Tibetan Plateau, however, it is too general. Though, they are glacier regions, but the area, length, volume, and complicated topography, atmospheric circulation, BC sources, and background of BC of the glaciers are different. It is better to add some information, or add the comparison with other glacier regions. There is both atmospheric BC concentrations of and BC depositions over Tibetan Plateau. Does the magnitudes of BC depositions are similarï¼
- Rowe et al., 2019 pointed that dust was dominated the albedo reductions in snow rather than BC in northern Chile. Is there possible for you to compare the dust and BC deposition via modelling in your MS?
- Line 70, I'm puzzled on “Anthropogenic emissions only are considered for BC (i.e., wildfire events, which can be a large BC source, are ignored)” , what do you mean?
- Lines 77-88, You used the aerosol dry deposition scheme from Zhang et al., (2001), according to the better results over the investigation over the Arabian Peninsula. However, you mentioned that “despite a seasonal variability in performance”, does it mean that it is not good for the seasonal variability based on Zhang et al., (2001)? The seasonal variability of BC depositions is the key for your MS. How about to do a comparison based on Wesely (1989) and Zhang et al., (2001)?
- In current MS, you only compare the influence of BC emissions from and without Santiago city, how about the influence of emissions from a large sale via long-range transport?
- You focus on the comparison of January and July 2015, but for the meteorological export influence, you use the meteorological parameters during 2010-2020, 2004-2019, 2004-2011, 2009-2019, 2013-2020, they are not coherent.
- Due to there is no observation data for modelling validation, how about to try to check the MODIS or reanalysis data?
- You pointed out the future wind speed increase of +0.02 m s-1, and decrease of -0.03 m s-1 in January and July, respectively, does the slight variation will really make a big difference under the unclear uncertainties of your current modeling. More importantly, you haven’t simulated the radiative fording caused by BC on glacier on Central Andes.
- L99, “0.350 nm”? It should be “350 nm”, right?
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AC1: 'Response to the reviewers', Rémy Lapere, 21 Dec 2022
The comment was uploaded in the form of a supplement: https://acp.copernicus.org/preprints/acp-2022-604/acp-2022-604-AC1-supplement.pdf
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CC1: 'Comment on acp-2022-604', Julio C. Marín, 30 Nov 2022
Comments
The article: “Meteorological export and deposition fluxes of Black Carbon on glaciers of the central Chilean Andes” analyzes the BC transport and deposition on glaciers of central Andes during a summer and a winter month. The study addresses important aspects related to the BC transport to the Andes cryosphere, increasing our knowledge on this topic, which has vital implications for water management and availability over the study region. I think the manuscript can be accepted for publication if the authors first address some major and minor comments, which are described below.
Major comments
- I see no reason to include figures as a separate Appendix. I suggest changing the figures in the Appendix to the main text to prevent going back and forward between figures in the main text and those in the Appendix, which slightly worsens the reading fluency.
- L85: This paragraph creates a bit of confusion for me when reading the text. This paragraph seems to justify the use of Zhang et al. (2001) dry deposition scheme in this study based on results obtained by Beegum et al. (2020) in the Arabian Peninsula comparing Zhang et al. (2001) and Wesely et al. (1989) schemes. I think this does not justify Zhang et al.’s choice unless you discuss how the Arabian Peninsula is similar to the Andes. On the other hand, section 4 mentions that “Beegum et al. (2020) showed that the performance of both deposition schemes depends on the season and location considered. Thus, it does not matter which dry deposition scheme is used, if there is not a wide data coverage to assess the model, which is the case. Please, modify the paragraph in L85 to avoid this contradiction. Maybe remove the reference to Beegum et al. (2020) in that paragraph and just mention that a discussion of the choice of the dry deposition scheme will be described in Section 4.
- L260: Authors mention that synoptic-scale circulations in central Chile are driven by the position of the SPH and the passage of migratory “mid-level” anticyclones. However, synoptic-scale circulations are also affected every year by the passage of cold fronts (mainly between May and September) and cut-off lows to a lesser extent. In particular, the passage of cold fronts in fall and winter bring northwest/west winds to the region that may affect the average circulation shown in Fig. 5b. That, together with the usual seasonal variation of the SPH circulation, may result in less intense southwesterly winds in winter. I suggest the authors include this discussion in this part of the text.
- Figures 6 and 7 show mean conditions for circulations. I think the authors should complement those results by analyzing how circulations behave during January and July 2015 to add support to these results. For instance, if authors choose a group of glaciers in the Mapocho basin and another group of glaciers in the Maipo basins with large deposition fluxes, would they be associated with a larger percent of wind directions indicative of synoptic-scale + upward mountain-valley circulations in January and a larger percent of wind directions indicative of down-valley circulations in July in agreement with what the average circulations show?
- Section 4: Authors may discuss in that section that although the RCP8.5 is the hypothetically most extreme scenario in the use of fossil fuel, the RCP2.6 scenario maybe will be a more likely scenario by the end of the century, and results from RCP2.6 may receive more attention than those from the RCP8.5 scenario.
- A winter and a summer month of 2015 was used in the study to better understand BC transport and deposition over central Andes. However, the year 2015 is an El Niño year, which involves large-scale perturbed circulations that may have affected the region much differently during that year. Authors should discuss this in the text.
To show that the results obtained this year are not very different from those obtained in the 2011-2021 period, the authors present the time evolution of PM2.5 concentrations and wind speed at PQH station in downtown Santiago. However, using only one Santiago station in this comparison might not be representative of what authors have shown in the Results section, particularly for winter months since the total BC deposition attributable to Santiago emissions accounts for less than 20% of the total BC deposition. I think that authors should show an overall comparison using all the PM2.5 concentration and wind speed data available in the region (30-37ºS) to better show that conditions in 2015 are not very different from the other years. At least they should present this comparison for observations from other towns/cities in the region. There are several SINCA stations in the OHiggins, El Maule, and Bio Bio regions. Authors could compare mean PM2.5 and wind speed distributions at other sites for January and July between 2015 and the other years or compare how anomalous the regional wind speed and PM2.5 concentrations were compared to the other years of the 2011-2021 period. I leave it out to the authors to choose the best way to show this.
Minor comments
- L70: The WRF model is not only developed by the National Center for Atmospheric Research (NCAR), it has been developed by different institutions. Based on information from its webpage: “it is a collaborative partnership of the National Center for Atmospheric Research (NCAR), the National Oceanic and Atmospheric Administration (represented by the National Centers for Environmental Prediction (NCEP) and the Earth System Research Laboratory), the U.S. Air Force, the Naval Research Laboratory, the University of Oklahoma, and the Federal Aviation Administration (FAA).
- L70: Please describe how the authors did not take into account wildfire events. Did they use a database of wildfires to remove those dates from the analysis?
- Please expand a bit more on the discussion of simulation in the text. The authors mention to the reader to look for details in Lapere et al. (2021)a, but still, I think a bit more information about simulations should be provided in this manuscript. For instance, what WRF model version was used in this study, and whether there is a reason supporting the use of this configuration of parameterizations for this region. In addition, include Table A1 in section 2.1.
- Why did the authors prefer to put Fig. A1 in Appendix A, instead of putting it within the text as Fig. 2? I would suggest including it as Fig. 2 in the text since the text can be read more fluidly. Please see the major comments above.
- L170: I found the following sentence confusing: “In these absolute totals, the contribution of Santiago emissions is dominant in summertime with 50% of the BC particles deposited coming from the capital city, while it accounts for only 15% in wintertime at the scale of central Chile (pink pie
charts in Figure 1).” Since I agree that contributions from other parts of central Chile are dominant in wintertime compared to that from Santiago for the whole of central Chile (85% vs 15%), the contribution in summertime is 50% each. Thus, I suggest changing the word “dominant” to “larger”.
- L210: In the direct vicinity of the capital city (between 33◦ S and 34◦ S), the contribution ranges from 50% to 100%, with a northward gradient in summertime.
- Please also include the labels Mapocho and Maipo in Figs. 3b-d
- In the description of Figure 4, I suggest avoiding saying that the gray line is a summertime corrected profile. That would imply to me that the summertime profile is not accurate or it is biased and it needs to be corrected by the gray profile, which is not the case. If I understood well, you are only theoretically analyzing how the summertime deposition profile change (together with its implication) if using winter instead of summertime emissions. In addition, I would also suggest changing the legend in Fig. 4a from “January 2015 – emissions corrected” to “January 2015 – wintertime emissions”.
- L260: The summertime synoptic wind direction is thus consistent with the orientation of the Mapocho and Olivares canyons (Fig. A1 (or Fig. 2 following the above suggestion)) …
- L270: Otherwise, the large deposition rates obtained in the chemistry-transport simulations along the Maipo river canyon (Fig. 3a), which has an NW-SE orientation perpendicular to the synoptic wind direction, would not be observed in this month if only the synoptic scale played a role.
- L280: Above the mixing layer, a smooth transition towards stronger northerly/northwesterly winds of 6 to 8 m s−1 is observed.
L290: Figures 6b and c show the average daily cycle of wind speed (colormap) and direction (arrows) profile in Santiago, averaged over DJF and JJA, respectively.
- L315: The description of the atmospheric weather station data used in this study should be included in the Data and Methodology section. Another reason to move the figures in the Appendix to the main text. I also suggest including the information of the stations used in the study as a Table in that section with the location (lat,lon) of each station and the period of data availability.
- Fig. 6a: Please detail the latitude and longitude of the Era5 grid-point used to create the plot.
- L285: Change sentence to: “Figure 6b and c show the average daily cycle of wind speed (colormap) and direction (arrows) profile in Santiago, averaged over DJF and JJA, respectively.
- Fig. 6 caption: Please spell PQH.
- L360: Similarly, no trend is observed in wind direction for that scenario in summertime (Figure 8c).
- Figure 8 caption: … (c) same as (a) but for wind direction in January.
- L380: Change infra-yearly by intra-yearly
- L400: I suggest something like: “ … showing that the DJF and JJA distributions of PM2.5 concentration and wind speed in Santiago cannot be distinguished from those in January and July, respectively.”
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AC1: 'Response to the reviewers', Rémy Lapere, 21 Dec 2022
The comment was uploaded in the form of a supplement: https://acp.copernicus.org/preprints/acp-2022-604/acp-2022-604-AC1-supplement.pdf
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AC1: 'Response to the reviewers', Rémy Lapere, 21 Dec 2022
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AC1: 'Response to the reviewers', Rémy Lapere, 21 Dec 2022
The comment was uploaded in the form of a supplement: https://acp.copernicus.org/preprints/acp-2022-604/acp-2022-604-AC1-supplement.pdf