Articles | Volume 12, issue 2
https://doi.org/10.5194/amt-12-1365-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-1365-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Aerosol light absorption from optical measurements of PTFE membrane filter samples: sensitivity analysis of optical depth measures
Apoorva Pandey
Center for Aerosol Science and Engineering, Department of Energy,
Environmental and Chemical Engineering, Washington University in St. Louis,
St. Louis, MO 63130, USA
Nishit J. Shetty
Center for Aerosol Science and Engineering, Department of Energy,
Environmental and Chemical Engineering, Washington University in St. Louis,
St. Louis, MO 63130, USA
Rajan K. Chakrabarty
CORRESPONDING AUTHOR
Center for Aerosol Science and Engineering, Department of Energy,
Environmental and Chemical Engineering, Washington University in St. Louis,
St. Louis, MO 63130, USA
McDonnell Center for the Space Sciences, Washington University in St.
Louis, St. Louis, MO 63130, USA
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Brown carbon (BrC) aerosols show an order-of-magnitude variation in their light absorption strength. Our understanding of BrC from real-world biomass burning remains limited, complicating the determination of its radiative impact. Our study reports absorption properties of BrC emitted from four major biomass burning sources using field measurements in India. It develops an absorption parameterization for BrC and examines the spatial variability in BrC's absorption strength across India.
Payton Beeler and Rajan K. Chakrabarty
Atmos. Chem. Phys., 22, 14825–14836, https://doi.org/10.5194/acp-22-14825-2022, https://doi.org/10.5194/acp-22-14825-2022, 2022
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Understanding and parameterizing the influences of black carbon (BC) particle morphology and compositional heterogeneity on its light absorption represent a fundamental problem. We develop scaling laws using a single unifying parameter that effectively encompasses large-scale diversity observed in BC light absorption on a per-particle basis. The laws help reconcile the disparities between field observations and model predictions. Our framework is packaged in an open-source Python application.
Joshin Kumar, Theo Paik, Nishit J. Shetty, Patrick Sheridan, Allison C. Aiken, Manvendra K. Dubey, and Rajan K. Chakrabarty
Atmos. Meas. Tech., 15, 4569–4583, https://doi.org/10.5194/amt-15-4569-2022, https://doi.org/10.5194/amt-15-4569-2022, 2022
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Accurate long-term measurement of aerosol light absorption is vital for assessing direct aerosol radiative forcing. Light absorption by aerosols at the US Department of Energy long-term climate monitoring SGP site is measured using the Particle Soot Absorption Photometer (PSAP), which suffers from artifacts and biases difficult to quantify. Machine learning offers a promising path forward to correct for biases in the long-term absorption dataset at the SGP site and similar Class-I areas.
Jie Luo, Zhengqiang Li, Chenchong Zhang, Qixing Zhang, Yongming Zhang, Ying Zhang, Gabriele Curci, and Rajan K. Chakrabarty
Atmos. Chem. Phys., 22, 7647–7666, https://doi.org/10.5194/acp-22-7647-2022, https://doi.org/10.5194/acp-22-7647-2022, 2022
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The fractal black carbon was applied to re-evaluate the regional impacts of morphologies on aerosol–radiation interactions (ARIs), and the effects were compared between the US and China. The regional-mean clear-sky ARI is significantly affected by the BC morphology, and relative differences of 17.1 % and 38.7 % between the fractal model with a Df of 1.8 and the spherical model were observed in eastern China and the northwest US, respectively.
Benjamin Sumlin, Edward Fortner, Andrew Lambe, Nishit J. Shetty, Conner Daube, Pai Liu, Francesca Majluf, Scott Herndon, and Rajan K. Chakrabarty
Atmos. Chem. Phys., 21, 11843–11856, https://doi.org/10.5194/acp-21-11843-2021, https://doi.org/10.5194/acp-21-11843-2021, 2021
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We present a comparison of the changes to light absorption behavior and chemical composition of wildfire smoke particles from day- and nighttime oxidation processes and discuss the results within the context of previous laboratory findings.
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Short summary
This study quantitatively establishes simple-to-use correction factors for accurately estimating particle-phase light absorption properties from bulk-phase attenuation measurements of Teflon filter samples. Using contact-free optical instrumentation with a two-stream radiative transfer model, we developed a wavelength-independent empirical correction formulation by comparing filter attenuation of aerosol-laden Teflon filter samples with in situ light absorption for a range of real-world fuels.
This study quantitatively establishes simple-to-use correction factors for accurately estimating...