the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Physical processes influencing the Asian climate due to black carbon emission over East and South Asia
Abstract. Many studies have shown that black carbon (BC) aerosols over Asia have significant impacts on regional climate, but with large diversities in intensity, spatial distribution and physical mechanism of regional responses. In this study, we utilized a set of Systematic Regional Aerosol Perturbations (SyRAP) using a reduced complexity climate model, FORTE2, to investigate responses of the Asian climate to BC aerosols over East Asia only, South Asia only, and both regions at once, and thoroughly examine related physical processes. Results show that regional BC aerosols lead to a strong surface cooling, air temperature warming in the low-level troposphere, and drying over the perturbed areas, with seasonal differences in magnitude and spatial distribution. Atmospheric energy budget analysis suggests that reductions in local precipitation primarily depend on the substantial local atmospheric heating due to shortwave absorption by BC. Increases in dry static energy (DSE) flux divergence partly offset the reduced precipitation over north China in summer and most of China and India in the other three seasons. Decreases in DSE flux divergence lead to stronger reduction in precipitation over south China and central India in summer. Changes in DSE flux divergence are mainly due to vertical motions driven by diabatic heating in the middle and lower troposphere. BC perturbations also exert non-local climate impacts through the changes in DSE flux divergence. This study provides a full chain of physical processes of the local climate responses to the Asian BC increases, and gives some insights to better understand the uncertainties of model responses.
Competing interests: Laura J. Wilcox is a member of the editorial board of Atmospheric Chemistry and Physics.
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.- Preprint
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Status: open (until 08 Apr 2025)
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RC1: 'Comment on egusphere-2024-3867', Anonymous Referee #1, 19 Mar 2025
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This manuscript analyzes the regional responses to Asian black carbon perturbations using a reduced complexity climate model, SyRAP-FORTE2. The authors find a regional response of surface cooling, low-level warming, and precipitation reduction in all seasons. They apply the atmospheric energy budget analysis to explain the mechanisms behind summer precipitation responses. The analysis links the regional precipitation reduction to atmospheric warming induced by BC shortwave absorption, while changes in dry static energy flux divergence partly offset the responses.
The topic is well within the scope of the journal. I think the detailed investigation of the seasonality and the mechanistic insights in this study would be of interest to the relevant communities. I believe this study could be accepted for publication after addressing the following issues.
General comments
The Introduction needs to be better organized. In its current form, the authors list a large number of relevant literature (L61–126) in a somewhat scattered manner. I think more efforts should be made to structure these references logically and to concisely highlight the most pertinent findings. This will help clarify the gap the study aims to fill. On a related note, the Conclusion and Discussion section should better articulate why a reduced-complexity model approach is valuable in this context and how it complements existing work using GCMs or other modeling frameworks. What does the reduced complexity model allow us to see that might be more difficult to isolate in fully coupled GCMs?
In the atmospheric energy budget analysis, the DSE flux divergence is decomposed to mean and eddy terms. However, the eddy component is not discussed in the main text. If the eddy component is negligible, please clarify and justify why it is omitted. Otherwise, consider analyzing how eddies influence the results.
The description of the model and experiments needs some clarification. I’m confused by which aerosol effects are included in the simulations. L178 indicates the model includes the semi-direct effect of BC, while L207 seems to suggest otherwise. This should be further discussed in the Conclusion and Discussion. It will help readers gauge how directly they can compare your results with those from more comprehensive aerosol-forcing experiments. Additionally, from my reading, the simulations only use BC, why mention the parameterization of aerosol-cloud interactions for scattering aerosol (L174)?
L509–511: I don’t find these results very convincing. Indian precipitation response in CESM1 and NorESM1 exhibits opposite sign compared to that in FORTE2. GISS and MIROC show evident precipitation decreases over Southeast Asia, while FORTE2 shows large increases.
I think it would be helpful to show the spatial pattern and vertical cross-section of the BC forcing in the supplementary. It might help to understand the seasonality of the BC effects.
Careful proofreading is required. There are a number of grammatical and clarity issues throughout the text (e.g., L124, 136, 235, 245, etc.).
Individual comments
L88: clarify what is “enhanced upper-level atmospheric temperature”
L149: referring to “emissions” may be misleading when BC AOD is prescribed in the models.
L170: do you mean to state that FORTE2 has good skills?
L204: what are “different background climate states”?
L238: It does not seem right.
L367: please be explicit about what vertical temperature differences reduce SH and how heating reduces LH.
L547: precipitation increases in Southeast Asia.
Figure 12: suggest to cinldue the FORTE2 results to facilitate a direct comparison.
Citation: https://doi.org/10.5194/egusphere-2024-3867-RC1
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