the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Biomass burning smoke transport and radiative impact over the city of Sao Paulo: An extreme event case study
Abstract. Biomass burning is a worldwide practice applied to deforestation which can have disastrous consequences to local and regional environments. This paper describes a case study of an extreme event of biomass burning smoke transport toward the São Paulo metropolitan area (MASP), on 19 August 2019, when the city experienced an uncommon completely dark sky around 3:00 PM. A synergy between air mass back trajectories, satellite retrieved aerosol fields and surface radiometric measurements was used to find the origin of the smoke plume affecting the city and to analyse the radiative impact of the transport of the smoke toward the city. Results showed that the MASP atmosphere was affected by the transport of a dense smoke plume with aerosol optical depth at 550 nm above 1. Air mass back trajectories and auxiliary data indicated that most of the smoke was emitted two days before arrival. The smoke plume in combination with clouds, associated with a frontal system, produced a strong radiative impact, as observed by a regional network of pyranometers. During the darkness day, the diurnal clearness index was below 0.1 in all five MASP stations and a maximum of the cloud optical depth higher than 300 was retrieved producing irradiances at surface dropped to 0 during approximately 40 minutes. The strong radiative efficiency (cloud radiative effect per cloud optical depth unit) of this extreme event, was 7 % higher than other overcast days observed in a two-year period.
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RC1: 'Comment on egusphere-2025-9', Anonymous Referee #1, 22 Mar 2025
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General comments
The authors present a case where a smoke plume was combined with clouds and produced a very strong radiative impact. Such studies are useful to understand the complex interactions between aerosols, clouds, and solar radiation. The manuscript is well written and only a few minor corrections are needed prior to its publication.
Specific comments
Adding a small paragraph relative to the direct radiative effects of BB aerosols in the introduction would be useful. Some potential references are the following.
- The impact of biomass burning aerosols on radiation over the Amazon has been discussed in Liu et al.
https://doi.org/10.5194/acp-20-13283-2020
- The direct radiative effects of biomass burning aerosols have been also discussed in:
https://doi.org/10.5194/acp-7-4257-2007
https://doi.org/10.1016/j.atmosres.2024.107700
https://doi.org/10.5194/acp-23-8487-2023
L19: “that dropped” instead of “dropped”, “for” instead of “during”.
L23: Delete “globally”
L61: Use the acronym “BB” for consistency
L107: “The remote sensing … station.”. Please rephrase
Section 2.4:
- More discussion relative to the setup of libRadtran is needed. For example, what was the used atmospheric profile? What was the used aerosol profile? LibRadtran is a package of models. What model was used? UVSPEC? Dis the authors consider a plane parallel or a pseudospherical atmosphere?
- Regarding cloudSat. What is the spatiotemporal resolution of the used products? How representative is the cloudSat information for cloudiness for the measurement locations?
L192: Check the units in the provided attenuated backscatter values.
L332: Delete “of”
Citation: https://doi.org/10.5194/egusphere-2025-9-RC1 -
AC1: 'Reply on RC1', Jorge Rosas Santana, 01 Apr 2025
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Thank you for your careful reading of our manuscript and for your constructive comments.
We are checking and correcting the manuscript in accordance with your suggestions.
We are also adding the provided references and including more detailed information about the LibRadtran configuration.
Briefly, we considered a plane-parallel configuration and a pseudospherical condition for the two-stream solver.
The CloudSat 2BCWC-RO data has resolution is approximately 1.5 km in the horizontal and 240 m in the vertical ,
We only used overpasses occurring within a maximum distance of 100 km from a point in the city of São Paulo (excluding over-sea data).
We are assuming mean values of the geometrical and microphysical properties obtained from those overpasses.
Citation: https://doi.org/10.5194/egusphere-2025-9-AC1
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