the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Local and remote climate impacts of future African aerosol emissions
Christopher D. Wells
Matthew Kasoar
Nicolas Bellouin
Apostolos Voulgarakis
Abstract. The potential future trend in African aerosol emissions is uncertain, with a large range found in future scenarios used to drive climate projections. The future climate impact of these emissions is therefore uncertain. Using the Shared Socioeconomic Pathway (SSP) scenarios, transient future experiments were performed with the UK Earth System Model UKESM1, investigating the effect of African emissions following the high emission SSP370 scenario as the rest of the world follows the more sustainable SSP119, relative to a global SSP119 control. This isolates the effect of Africa following a relatively more polluted future emissions pathway. SSP370 sees higher direct anthropogenic aerosol emissions, but lower biomass burning emissions, over Africa. Increased aerosol reduces the local incident surface radiation, causing a local cooling, but the dominance of the black carbon absorption effect remotely from Africa leads to a global warming. The local cooling persists even when including the higher African CO2 emissions under SSP370 than SSP119. Precipitation also exhibits complex changes, with large-scale shifts in the Inter-Tropical Convergence Zone (ITCZ) due to hemispheric asymmetries in the applied forcing, and enhanced local rainfall due to mid-tropospheric instability from BC absorption. These results highlight the importance of future African aerosol emissions for regional and global climate, and the spatial complexity of this climate influence.
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Christopher D. Wells et al.
Status: closed
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RC1: 'Comment on egusphere-2022-919', Anonymous Referee #1, 27 Oct 2022
General comments
The authors of this manuscript have conducted a study of the impacts of different future African aerosol and CO2 emission pathways on global and local climate. This is done through simulations with one Earth system model (ESM), UKESM1, using several ensemble members for each experiment. They find that increased future non-biomass burning carbonaceous aerosols in Africa lead to warming on the northern hemisphere, northwards shift of the Inter-Tropical Convergence Zone and precipitation changes in the vicinity of the emission changes, compared to their control experiment. The authors present a detailed analysis of the mechanism behind the local precipitation response in the emission region.
Climate impacts of future aerosol emissions over Africa, the topic presented in this study, is relevant for the climate research community and readers of Atmospheric Chemistry and Physics, and, as the authors claim, not yet well studied. The method the authors use is well described and appropriate for the study.
The manuscript is in general well structured but the writing and presentation need a major revision. The whole manuscript needs to be reworked for clarity an preciseness (including abstract, figure captions and supplement material) but in particular the result section, and the discussion and conclusion section for clarity and conciseness, please also see specific comments below.
The authors have presented an interesting and well conducted study, but are asked to address the following questions/comments:
I miss a motivation for why the authors choose to focus on the results from the scenario simulations. At least one sentence describing the motivation behind this choice should be added.
Figure 1 where the authors present the aerosol emission in the different experiments is very confusing, and the authors need to rethink how the emissions are presented. Please also see specific comment below.
There is no description of the radiative forcing or effects on radiation generated by the different aerosol (or CO2) emissions in the manuscript, apart from the short-wave radiation absorption profile in two limited regions. The authors describe competing effects of reflecting (cooling) organic carbon and absorbing (warming) black carbon, but never present a quantification of these effects. Moreover, the authors describe an ESM with a climate sensitivity larger than that of other ESMs participating in CMIP6. Therefore, it is relevant to present the radiative forcing or changes in atmospheric radiation in the simulations, and perhaps the multi model mean sensitivity of the CMIP6 models when discussing the hight climate sensitivity of the model used in this study.
The authors cite literature that describe the influence of aerosols on global atmospheric circulation and in particular the Asian monsoon, but, despite being a study of African aerosol emissions and associated local and global effects on the climate, there is no discussion or citations of studies regarding the African monsoon and previous studies of climate impacts of African aerosols on regional or global scale. The authors need to present more background regarding African aerosols and climate impacts and African monsoon and cite relevant previous studies on this topic.
The high sensitivity of the particular ESM used in this study warrants a more elaborate discussion of the impact on the results in relation to the choice of using future scenarios (SSPs) and not idealised emission perturbations, and the simulated aerosol burden and forcing (which is not shown in the manuscript). The authors should present more numbers (e.g. radiative forcing, sensitivity) to illustrate how this model responds to changed emissions compared to other models participating in CMIP6.
The authors need to work on making the language more precise and at times more concise. The disposition of the Discussion and Conclusions section is not optimal, where discussion and conclusions are mixed and presented in an order that is not always logical.
Specific comments
Given the particular high sensitivity of the single model used in this study, it might be appropriate to change the title to “Local and remote climate impacts of future African aerosol emissions in UKESM1”, to highlight the fact that this study portrays the result of this particular model, which is not necessarily representative for what a similar study using a different model might show.
The figure/table captions are inconsistent throughout the manuscript. In some of the figures the indication of whether a result is statistically significant or not is described in the figure caption, sometimes it is described in the text. Sometimes a capital letter is used at the start of the figure captions sometimes it is not. The authors should go thorough all the captions to make sure they describe the figures/table in a consistent manner.
Line 12: Please change “investigating” to “to investigate”.
Line 14: “sees” should be rephrased
Line 14: What is meant by “direct anthropogenic”? And are not biomass-burning emissions anthropogenic?
Line 15: The reduced short wave surface radiation is never shown in the manuscript.
Line 16: What do the authors mean here? That absorption from black carbon takes place away from the emission region?
Line 16: Can the authors provide a quantification of the global warming here?
Line 18: The authors should be more specific regarding how the ITCZ changes, i.e. northward shift due to a warmer northern hemisphere compared to the control experiment.
Line 27-28: Please provide a context for the scenarios. For example that they are used for simulating future climate impacts with general circulation models or similar.
Line 29-31: This sentence is very difficult to read, please rephrase.
Line 51-52: I am note sure what the authors mean by this, they need to specify what emission trajectory differs in contrast to what. There are definitely published studies where specific regions follow an aerosol emission trajectory different from the one specified for the CMIP5.
Line 58: This sounds more like the hypothesis you are set out to investigate, please change to something like “These emissions could therefore have a substantial effect on local and remote climates.”
Line 58-60: This sentence is not very clear and could be rephrased to be easier to read.
Line 79: Please be more specific when describing the model’s performance that stating the it represents the climate “well” (and “reasonable”). A quantification of differences, e.g. sensitivity, forcing etc.
Line 80-84: Repetition of “its”. Please rephrase.
Line 103-104: What is meant in this sentence, please clarify. Is there no biomass emissions of SO2? What impact does this have on the result regarding absorption/scattering dominating the radiative effect of in the different experiments?
Line 105: Should it not be “’AerAll’ refers to the experiment where all aerosols and reactive gases follow the SSP370 scenario over Africa” or similar? Please go through this paragraph to make sure that the experiments are described properly, and that the references to the different experiments are consistent with the result sections, i.e. are you referring to the aerosols or the experiment? As the text reads now, there is no consistency regarding this.
Line 116: I doubt that climate equilibrium was reached, rather that the ocean mixed layer has adjusted to the imposed forcing.
Line 132: What is meant by “larger three experiments”? Should it be the experiments with large emission increases?
Line 132-136: Do the authors have an estimate of how much this might influence the results?
Line 137-153: This paragraph and Figure 1 need some reworking/clarifications, and better connection between the emission descriptions in the text and what is shown in the figure. Figure 1 would benefit from labeling of each panel and more specific references in the text. It is difficult to understand which panel describes which experiment and how to interpret the figure.
The black solid lines in the line plots describe the emissions in the control/SSP119 of different aerosols and CO2. Likewise, black dashed lines describes African emissions in control/SSP119. My interpretation is that the emissions in “AerAll” are described by “OC+BC total” and “SO2”, but this in not obvious. Moreover, when it comes to the “AerBB” and “AerNonBB” experiments, it is no longer clear to me how I should read the total aerosol emissions in these experiments from the figure. I understand that “OC+BC BB” shows the change in biomass burning aerosols, but how do the total aerosol emissions change, including SO2? I also do not see what the map plot “All 2xBB” should represent in this context.
The authors should rethink how the emissions are presented in Figure 1. What does “perturbation” represent in the legend in each panel?
Line 159: Is Figure 1 showing actual SO2 emissions or perturbation/control ratio?
Line 168-170: This sentence seems out of place here. What is the point of the table? What does the table add to the story? It would be better to first focus on Figure 2 and then discuss the table. Where does the pi-control data come from?
Line 172: What is cooling in comparison to what? The whole result section suffers from this lack of clarity and needs to be carefully reworked so that is clear in everywhere what is being compared. The authors also have a tendency to describe the figures rather than letting the figure support the result they are describing.
Line 181: Higher warming in comparison to what? Is the difference of 0.16K between the CO2 experiment and the control/SSP119 scenario? Why is Table 1 referenced here which shows the temperature differences between the experiments and a pre-industrial state?
Line 184: Warming compared to what?
Line 190: Please change “plot” to “panel”, and check the other figure captions as well.
Line 197: I think it would be more appropriate to explain the red/blue numbers here than in the text.
Line 200: It has not been shown here where the aerosol-burden change is largest or radiative effect of the changed aerosol emissions.
Line 210: To me it looks like the warming is more prominent in south western Africa. I can’t see a statistical significant warming in South eastern Africa neither in DJF nor in JJA. Could the authors clarify what is meant here?
Line 214-219: This paragraph seems to belong together with the discussion about the global mean temperature response before line 198.
Line 216-219: This sentence is confusing. The temperature change over Africa is compared to that of the global mean relative to the pre-industrial(?) simulation, and the contrasted to temperature changes relative to the control. Please rephrase.
Line 220-221: Cooling compared to what?
Line 228: Which season?
Line 230: What is meant by “north of this”?
Line 239: What is referred to by “this”? Please be more specific. Please remove “850hPa map” and specify which figure/panel is being discussed.
Line 240: Please rephrase “hints of northward shifts”. Which figure is discussed here?
Line 254: “In the AerAll and AerNonBB experiments”
Line 256-257: What do the authors mean here? Please clarify. How does the position of the ITCZ influence the strength of the forcing asymmetry?
Line 258: Discussed presently?
Line 258-260: This is also true for AerAll experiment.
Line 260-261: This sentence does not make sense to me. “ITCZ impacts can produce substantial changes in locations remote from their emissions”? Please rephrase.
Line 273: How can this be three pairs?
Line 276-278: This sentence seems redundant.
Line 280: Please add labels for each panel in Figure 7 and specify which panel is discussed.
Line 284: What role does the seasonality of precipitation have in the aerosol burden in these areas?
Line 286: What is meant by “since the amount of aerosol present to block radiation decreases with altitude”? The near-surface cooling is most likely a consequence of changed surface energy fluxes.
Line 289: Which panel if Figure 7?
Line 298: Please add a reference to Figure 7 and which panel specifically.
Line 298-299: Where is this result shown, and what do the authors mean? That aerosols transported over the Atlantic lead to enhanced precipitation locally?
Line 233: To my it sound strange to write that “This study analyses”. Likewise, that “scenarios sees changes”.
Line 334: Please remove “bulk” and rephrase.
Line 237: Should it be “two-moment scheme” here?
Line 360: Perhaps “locally in the emission regions”? But the pattern did not match the emission strength? Please be more specific, where is the cooling and in what sense does it not match the emissions?
Line 272: ERF has not been introduced previously in the text.
Line 376: What is meant by accurate in this context? Detailed or sophisticated perhaps?
Figure 3: The global maps are very small and it is difficult to see which temperature changes are statistically significant. The panel showing the temperature change due to changed CO2 emissions from Africa is never discussed in the text and should perhaps be removed.
Figure 4: These map plot are even smaller then those in Figure 3 and are even harder to read. Perhaps the authors should split the map plots and pressure/latitude plots into two different figures.
Figure 5: Please see comment regarding Figures 3 and 4.
Figure 6: The description of how the profiles of stability and vertical velocity change relative to the control experiment and whether they are significant or not is difficult to follow. Is there not a better way of presenting this, perhaps by showing the profiles from the control experiment? Omega (ω) is usually used to denote pressure velocity, and is never introduced in the text, neither is θ.
Technical corrections
Line 43: Remove parentheses around reference at the beginning of this sentence.
Line 53: The acronym CMIP6 has not been introduced.
Line 64/66: Repetition of “inform/ed”
Line 65: Please change “bulk” to something more elegant.
Line 85: Insert space before reference.
Line 100-102: and throughout the text: SO2 to SO2 , NH3 to NH3, C2H6 to C2H6, C3H8 to C3H8, C3H6O to C3H6O, C2H4O to C2H4O
Line168: Are these temperature differences from the scenario experiments?
Line 171: “Run” is jargon.
Line 177: Space between forcing (O’Connor
Line 227: remove “upwards”
Line 228: Change circulation to vertical velocity
Line 274: bottom right panel of Figure 7
Citation: https://doi.org/10.5194/egusphere-2022-919-RC1 -
RC2: 'Comment on egusphere-2022-919', Anonymous Referee #2, 06 Dec 2022
General comments:
The authors use a single coupled climate model to estimate climate impacts from African aerosol perturbations. This is certainly an important topic that has not been given much attention, as the manuscript points out. Though the manuscript has some interesting results, I found several of the figures and conclusions to be fairly confusing at this stage. I would like to see the authors clarify these points in the specific comments before recommending publication.
Though this is a global modeling study, the results are mostly focused over Africa. Yet there are no African authors. I note that the authors here tease a future paper on air quality impacts. I highly suggest they begin collaborating with African scholars and experts to avoid perpetuating colonialism in science.
Specific comments:
Line 39-40: provide some citations for the statements about aerosols impact on precipitation. Also, “scattering aerosols tend to decrease precipitation…” I suppose a more accurate statement would be “Increases in scattering aerosols tend to decrease precipitation”. Likewise for the black carbon statement in the following sentences.
Line 57-58. I’m not following the how the first sentence “The tropics cover half…” implies the second sentence, that they will have substantial effect on remote climates.
Line 60: What’s a direct human health impact?
Line 79-85: There needs to be a little more effort dedicated on this model evaluation. I can understand not wanting to perform a model evaluation for this paper since it has already been done in other papers, but we at least need to know some quantitative values rather than just statements like representation is “reasonable”.
Line 101: suggest using the more common “Formaldehyde” for HCHO
Line 100-127: Suggest putting all of this in a table, or otherwise nicely organizing it. Right now it is confusing.
Line 112: Need to explain how the ensemble members are different
Figure 1 and accompanying text: It is very confusing. I think you need to label things as either “AerAll” or “AerBB” rather than just “perturbation”. What is “All 2xBB” row showing? Hard to make much sense out of this figure.
Line 166: and reducing variability by averaging over ensemble members, right?
Line 180-185 and Figure 2. The figure here makes more sense than Figure 1. However, I’m having trouble following the description. AerNonBB means that fossil fuel and biofuel aerosol and reactive gas emissions follow SSP3-7.0 in Africa, but everything else follows SSP1-1.9. So there’s more surface warming with AerNonBB? Is this because of Black Carbon? According to Table 1, the local effect over Africa is a cooling, so where is that warming coming from relative to the control?
Figure 2: I was looking for the results of AerAll, is it on this plot at all? Perhaps it is and the bright yellow doesn’t show up well.
Line 200: Ok, here is some explanation regarding the previous results in Fig 2 and Table 1. Suggest moving this up. Still not seeing why is there so much warming in remote areas in AerNonBB and AerAll?
Fig 3 and 4 (and all figures really): recommend having labeled panels a,b,c,d,e, … etc. Will clear things up when you can refer to a specific panel
Line 234: But we haven’t actually seen the radiative forcing patterns yet in this paper, have we? And shouldn’t the forcings be pretty close to the emissions changes, which are all in the tropics?
Figure 4: is there supposed to be stippling to indicate significance on the 850 hPa omega plots? I see it on the zonal plots.
Line 256: I’m not following how the more norther position of the ITCZ in JJA prevents the perturbations from inducing a strong interhemispheric forcing asymettry.
Line 274: is there something unique about these regions that warrants further focus, or is it just because they were “hotspots”
Line 334: Unless I’m missing something, the reactive gases aren’t really ever mentioned much in the results. So what is this statement based on?
Citation: https://doi.org/10.5194/egusphere-2022-919-RC2 - AC1: 'Comment on egusphere-2022-919', Chris Wells, 25 Jan 2023
Status: closed
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RC1: 'Comment on egusphere-2022-919', Anonymous Referee #1, 27 Oct 2022
General comments
The authors of this manuscript have conducted a study of the impacts of different future African aerosol and CO2 emission pathways on global and local climate. This is done through simulations with one Earth system model (ESM), UKESM1, using several ensemble members for each experiment. They find that increased future non-biomass burning carbonaceous aerosols in Africa lead to warming on the northern hemisphere, northwards shift of the Inter-Tropical Convergence Zone and precipitation changes in the vicinity of the emission changes, compared to their control experiment. The authors present a detailed analysis of the mechanism behind the local precipitation response in the emission region.
Climate impacts of future aerosol emissions over Africa, the topic presented in this study, is relevant for the climate research community and readers of Atmospheric Chemistry and Physics, and, as the authors claim, not yet well studied. The method the authors use is well described and appropriate for the study.
The manuscript is in general well structured but the writing and presentation need a major revision. The whole manuscript needs to be reworked for clarity an preciseness (including abstract, figure captions and supplement material) but in particular the result section, and the discussion and conclusion section for clarity and conciseness, please also see specific comments below.
The authors have presented an interesting and well conducted study, but are asked to address the following questions/comments:
I miss a motivation for why the authors choose to focus on the results from the scenario simulations. At least one sentence describing the motivation behind this choice should be added.
Figure 1 where the authors present the aerosol emission in the different experiments is very confusing, and the authors need to rethink how the emissions are presented. Please also see specific comment below.
There is no description of the radiative forcing or effects on radiation generated by the different aerosol (or CO2) emissions in the manuscript, apart from the short-wave radiation absorption profile in two limited regions. The authors describe competing effects of reflecting (cooling) organic carbon and absorbing (warming) black carbon, but never present a quantification of these effects. Moreover, the authors describe an ESM with a climate sensitivity larger than that of other ESMs participating in CMIP6. Therefore, it is relevant to present the radiative forcing or changes in atmospheric radiation in the simulations, and perhaps the multi model mean sensitivity of the CMIP6 models when discussing the hight climate sensitivity of the model used in this study.
The authors cite literature that describe the influence of aerosols on global atmospheric circulation and in particular the Asian monsoon, but, despite being a study of African aerosol emissions and associated local and global effects on the climate, there is no discussion or citations of studies regarding the African monsoon and previous studies of climate impacts of African aerosols on regional or global scale. The authors need to present more background regarding African aerosols and climate impacts and African monsoon and cite relevant previous studies on this topic.
The high sensitivity of the particular ESM used in this study warrants a more elaborate discussion of the impact on the results in relation to the choice of using future scenarios (SSPs) and not idealised emission perturbations, and the simulated aerosol burden and forcing (which is not shown in the manuscript). The authors should present more numbers (e.g. radiative forcing, sensitivity) to illustrate how this model responds to changed emissions compared to other models participating in CMIP6.
The authors need to work on making the language more precise and at times more concise. The disposition of the Discussion and Conclusions section is not optimal, where discussion and conclusions are mixed and presented in an order that is not always logical.
Specific comments
Given the particular high sensitivity of the single model used in this study, it might be appropriate to change the title to “Local and remote climate impacts of future African aerosol emissions in UKESM1”, to highlight the fact that this study portrays the result of this particular model, which is not necessarily representative for what a similar study using a different model might show.
The figure/table captions are inconsistent throughout the manuscript. In some of the figures the indication of whether a result is statistically significant or not is described in the figure caption, sometimes it is described in the text. Sometimes a capital letter is used at the start of the figure captions sometimes it is not. The authors should go thorough all the captions to make sure they describe the figures/table in a consistent manner.
Line 12: Please change “investigating” to “to investigate”.
Line 14: “sees” should be rephrased
Line 14: What is meant by “direct anthropogenic”? And are not biomass-burning emissions anthropogenic?
Line 15: The reduced short wave surface radiation is never shown in the manuscript.
Line 16: What do the authors mean here? That absorption from black carbon takes place away from the emission region?
Line 16: Can the authors provide a quantification of the global warming here?
Line 18: The authors should be more specific regarding how the ITCZ changes, i.e. northward shift due to a warmer northern hemisphere compared to the control experiment.
Line 27-28: Please provide a context for the scenarios. For example that they are used for simulating future climate impacts with general circulation models or similar.
Line 29-31: This sentence is very difficult to read, please rephrase.
Line 51-52: I am note sure what the authors mean by this, they need to specify what emission trajectory differs in contrast to what. There are definitely published studies where specific regions follow an aerosol emission trajectory different from the one specified for the CMIP5.
Line 58: This sounds more like the hypothesis you are set out to investigate, please change to something like “These emissions could therefore have a substantial effect on local and remote climates.”
Line 58-60: This sentence is not very clear and could be rephrased to be easier to read.
Line 79: Please be more specific when describing the model’s performance that stating the it represents the climate “well” (and “reasonable”). A quantification of differences, e.g. sensitivity, forcing etc.
Line 80-84: Repetition of “its”. Please rephrase.
Line 103-104: What is meant in this sentence, please clarify. Is there no biomass emissions of SO2? What impact does this have on the result regarding absorption/scattering dominating the radiative effect of in the different experiments?
Line 105: Should it not be “’AerAll’ refers to the experiment where all aerosols and reactive gases follow the SSP370 scenario over Africa” or similar? Please go through this paragraph to make sure that the experiments are described properly, and that the references to the different experiments are consistent with the result sections, i.e. are you referring to the aerosols or the experiment? As the text reads now, there is no consistency regarding this.
Line 116: I doubt that climate equilibrium was reached, rather that the ocean mixed layer has adjusted to the imposed forcing.
Line 132: What is meant by “larger three experiments”? Should it be the experiments with large emission increases?
Line 132-136: Do the authors have an estimate of how much this might influence the results?
Line 137-153: This paragraph and Figure 1 need some reworking/clarifications, and better connection between the emission descriptions in the text and what is shown in the figure. Figure 1 would benefit from labeling of each panel and more specific references in the text. It is difficult to understand which panel describes which experiment and how to interpret the figure.
The black solid lines in the line plots describe the emissions in the control/SSP119 of different aerosols and CO2. Likewise, black dashed lines describes African emissions in control/SSP119. My interpretation is that the emissions in “AerAll” are described by “OC+BC total” and “SO2”, but this in not obvious. Moreover, when it comes to the “AerBB” and “AerNonBB” experiments, it is no longer clear to me how I should read the total aerosol emissions in these experiments from the figure. I understand that “OC+BC BB” shows the change in biomass burning aerosols, but how do the total aerosol emissions change, including SO2? I also do not see what the map plot “All 2xBB” should represent in this context.
The authors should rethink how the emissions are presented in Figure 1. What does “perturbation” represent in the legend in each panel?
Line 159: Is Figure 1 showing actual SO2 emissions or perturbation/control ratio?
Line 168-170: This sentence seems out of place here. What is the point of the table? What does the table add to the story? It would be better to first focus on Figure 2 and then discuss the table. Where does the pi-control data come from?
Line 172: What is cooling in comparison to what? The whole result section suffers from this lack of clarity and needs to be carefully reworked so that is clear in everywhere what is being compared. The authors also have a tendency to describe the figures rather than letting the figure support the result they are describing.
Line 181: Higher warming in comparison to what? Is the difference of 0.16K between the CO2 experiment and the control/SSP119 scenario? Why is Table 1 referenced here which shows the temperature differences between the experiments and a pre-industrial state?
Line 184: Warming compared to what?
Line 190: Please change “plot” to “panel”, and check the other figure captions as well.
Line 197: I think it would be more appropriate to explain the red/blue numbers here than in the text.
Line 200: It has not been shown here where the aerosol-burden change is largest or radiative effect of the changed aerosol emissions.
Line 210: To me it looks like the warming is more prominent in south western Africa. I can’t see a statistical significant warming in South eastern Africa neither in DJF nor in JJA. Could the authors clarify what is meant here?
Line 214-219: This paragraph seems to belong together with the discussion about the global mean temperature response before line 198.
Line 216-219: This sentence is confusing. The temperature change over Africa is compared to that of the global mean relative to the pre-industrial(?) simulation, and the contrasted to temperature changes relative to the control. Please rephrase.
Line 220-221: Cooling compared to what?
Line 228: Which season?
Line 230: What is meant by “north of this”?
Line 239: What is referred to by “this”? Please be more specific. Please remove “850hPa map” and specify which figure/panel is being discussed.
Line 240: Please rephrase “hints of northward shifts”. Which figure is discussed here?
Line 254: “In the AerAll and AerNonBB experiments”
Line 256-257: What do the authors mean here? Please clarify. How does the position of the ITCZ influence the strength of the forcing asymmetry?
Line 258: Discussed presently?
Line 258-260: This is also true for AerAll experiment.
Line 260-261: This sentence does not make sense to me. “ITCZ impacts can produce substantial changes in locations remote from their emissions”? Please rephrase.
Line 273: How can this be three pairs?
Line 276-278: This sentence seems redundant.
Line 280: Please add labels for each panel in Figure 7 and specify which panel is discussed.
Line 284: What role does the seasonality of precipitation have in the aerosol burden in these areas?
Line 286: What is meant by “since the amount of aerosol present to block radiation decreases with altitude”? The near-surface cooling is most likely a consequence of changed surface energy fluxes.
Line 289: Which panel if Figure 7?
Line 298: Please add a reference to Figure 7 and which panel specifically.
Line 298-299: Where is this result shown, and what do the authors mean? That aerosols transported over the Atlantic lead to enhanced precipitation locally?
Line 233: To my it sound strange to write that “This study analyses”. Likewise, that “scenarios sees changes”.
Line 334: Please remove “bulk” and rephrase.
Line 237: Should it be “two-moment scheme” here?
Line 360: Perhaps “locally in the emission regions”? But the pattern did not match the emission strength? Please be more specific, where is the cooling and in what sense does it not match the emissions?
Line 272: ERF has not been introduced previously in the text.
Line 376: What is meant by accurate in this context? Detailed or sophisticated perhaps?
Figure 3: The global maps are very small and it is difficult to see which temperature changes are statistically significant. The panel showing the temperature change due to changed CO2 emissions from Africa is never discussed in the text and should perhaps be removed.
Figure 4: These map plot are even smaller then those in Figure 3 and are even harder to read. Perhaps the authors should split the map plots and pressure/latitude plots into two different figures.
Figure 5: Please see comment regarding Figures 3 and 4.
Figure 6: The description of how the profiles of stability and vertical velocity change relative to the control experiment and whether they are significant or not is difficult to follow. Is there not a better way of presenting this, perhaps by showing the profiles from the control experiment? Omega (ω) is usually used to denote pressure velocity, and is never introduced in the text, neither is θ.
Technical corrections
Line 43: Remove parentheses around reference at the beginning of this sentence.
Line 53: The acronym CMIP6 has not been introduced.
Line 64/66: Repetition of “inform/ed”
Line 65: Please change “bulk” to something more elegant.
Line 85: Insert space before reference.
Line 100-102: and throughout the text: SO2 to SO2 , NH3 to NH3, C2H6 to C2H6, C3H8 to C3H8, C3H6O to C3H6O, C2H4O to C2H4O
Line168: Are these temperature differences from the scenario experiments?
Line 171: “Run” is jargon.
Line 177: Space between forcing (O’Connor
Line 227: remove “upwards”
Line 228: Change circulation to vertical velocity
Line 274: bottom right panel of Figure 7
Citation: https://doi.org/10.5194/egusphere-2022-919-RC1 -
RC2: 'Comment on egusphere-2022-919', Anonymous Referee #2, 06 Dec 2022
General comments:
The authors use a single coupled climate model to estimate climate impacts from African aerosol perturbations. This is certainly an important topic that has not been given much attention, as the manuscript points out. Though the manuscript has some interesting results, I found several of the figures and conclusions to be fairly confusing at this stage. I would like to see the authors clarify these points in the specific comments before recommending publication.
Though this is a global modeling study, the results are mostly focused over Africa. Yet there are no African authors. I note that the authors here tease a future paper on air quality impacts. I highly suggest they begin collaborating with African scholars and experts to avoid perpetuating colonialism in science.
Specific comments:
Line 39-40: provide some citations for the statements about aerosols impact on precipitation. Also, “scattering aerosols tend to decrease precipitation…” I suppose a more accurate statement would be “Increases in scattering aerosols tend to decrease precipitation”. Likewise for the black carbon statement in the following sentences.
Line 57-58. I’m not following the how the first sentence “The tropics cover half…” implies the second sentence, that they will have substantial effect on remote climates.
Line 60: What’s a direct human health impact?
Line 79-85: There needs to be a little more effort dedicated on this model evaluation. I can understand not wanting to perform a model evaluation for this paper since it has already been done in other papers, but we at least need to know some quantitative values rather than just statements like representation is “reasonable”.
Line 101: suggest using the more common “Formaldehyde” for HCHO
Line 100-127: Suggest putting all of this in a table, or otherwise nicely organizing it. Right now it is confusing.
Line 112: Need to explain how the ensemble members are different
Figure 1 and accompanying text: It is very confusing. I think you need to label things as either “AerAll” or “AerBB” rather than just “perturbation”. What is “All 2xBB” row showing? Hard to make much sense out of this figure.
Line 166: and reducing variability by averaging over ensemble members, right?
Line 180-185 and Figure 2. The figure here makes more sense than Figure 1. However, I’m having trouble following the description. AerNonBB means that fossil fuel and biofuel aerosol and reactive gas emissions follow SSP3-7.0 in Africa, but everything else follows SSP1-1.9. So there’s more surface warming with AerNonBB? Is this because of Black Carbon? According to Table 1, the local effect over Africa is a cooling, so where is that warming coming from relative to the control?
Figure 2: I was looking for the results of AerAll, is it on this plot at all? Perhaps it is and the bright yellow doesn’t show up well.
Line 200: Ok, here is some explanation regarding the previous results in Fig 2 and Table 1. Suggest moving this up. Still not seeing why is there so much warming in remote areas in AerNonBB and AerAll?
Fig 3 and 4 (and all figures really): recommend having labeled panels a,b,c,d,e, … etc. Will clear things up when you can refer to a specific panel
Line 234: But we haven’t actually seen the radiative forcing patterns yet in this paper, have we? And shouldn’t the forcings be pretty close to the emissions changes, which are all in the tropics?
Figure 4: is there supposed to be stippling to indicate significance on the 850 hPa omega plots? I see it on the zonal plots.
Line 256: I’m not following how the more norther position of the ITCZ in JJA prevents the perturbations from inducing a strong interhemispheric forcing asymettry.
Line 274: is there something unique about these regions that warrants further focus, or is it just because they were “hotspots”
Line 334: Unless I’m missing something, the reactive gases aren’t really ever mentioned much in the results. So what is this statement based on?
Citation: https://doi.org/10.5194/egusphere-2022-919-RC2 - AC1: 'Comment on egusphere-2022-919', Chris Wells, 25 Jan 2023
Christopher D. Wells et al.
Christopher D. Wells et al.
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