Direct Detection of Severe Biomass Burning Aerosols from Satellite Data
Abstract
:1. Introduction
2. Method
2.1. Detection of SBBAs with SGLI Near-UV Data
- For AOT ≤ 0.3, the effect of ground surface reflection can be seen (as the aerosols are optically thin and the ground can clearly be seen). In particular, for BBAs, the histograms show two peaks, indicating a difference in the AAI between reflected and scattered light. There is no apparent bimodal shape for dust, probably because dust aerosols are derived initially from desert soils and have the same wavelength characteristics.
- Most of the aerosols exist in AOT ≤ 2. As a result, AAI values are concentrated in this region, and the mean value for the entire AOT region is within 0.3 < AOT ≤ 2. This tendency is particularly strong in the case of dust, with almost all data falling within AOT ≤ 2. Therefore, the units on the vertical axis in Figure 2(d3) were changed. Naturally, it is necessary to take into account that the number of dust data items is only two-thirds that of the BBAs, that the data is limited to the Sahara Desert, and that it is challenging to retrieve the AOT from the satellite over the desert.
- The AAI values increase with AOT for BBAs and may exceed 1.1, around the limit value of AOT, which is 5. Then, BBAs with AOT (500) > 5, which are not derived in the official product, are referred to as SBBAs in this work.
- In the case of dust, the increasing trend in the AAI values with AOT stops around AOT = 2, converges, and never exceeds 1.1. Therefore, AAI = 1.1 can be regarded as a threshold that differentiates between SBBAs and dense dust. This is the intention of the arrows at both ends drawn in Figure 2a,c.
2.2. Detection of SBBAs with Polarized Radiance
3. Specific Results of SBBA Detection
4. Discussion: Role of Polarization
- The value of the PR (674) increases with AOT up to AOT (500) ≈ 2 (i.e., AOT (674) ≈ 1) while maintaining a higher value than PR (869) and then converging to a constant value;
- The value of the PR (869) increases with AOT up to AOT (500) ≈ 4 (i.e., AOT (869) ≈ 1) and continues to increase slowly thereafter. The PR (869) has higher values than PR (674) after AOT (500) ≈ 2;
- The resulting PRI, the ratio of the PR (869) to PR (674), exceeds 1 after AOT (500) ≈ 2 and has a value of 1.2 at AOT (500) = 10, the maximum value of AOT (500) in Figure 8;
- The R values at both wavelengths increase with AOT.
5. Summary and Future Plans
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Acknowledgments
Conflicts of Interest
References
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Nakata, M.; Mukai, S.; Fujito, T. Direct Detection of Severe Biomass Burning Aerosols from Satellite Data. Atmosphere 2022, 13, 1913. https://doi.org/10.3390/atmos13111913
Nakata M, Mukai S, Fujito T. Direct Detection of Severe Biomass Burning Aerosols from Satellite Data. Atmosphere. 2022; 13(11):1913. https://doi.org/10.3390/atmos13111913
Chicago/Turabian StyleNakata, Makiko, Sonoyo Mukai, and Toshiyuki Fujito. 2022. "Direct Detection of Severe Biomass Burning Aerosols from Satellite Data" Atmosphere 13, no. 11: 1913. https://doi.org/10.3390/atmos13111913
APA StyleNakata, M., Mukai, S., & Fujito, T. (2022). Direct Detection of Severe Biomass Burning Aerosols from Satellite Data. Atmosphere, 13(11), 1913. https://doi.org/10.3390/atmos13111913