https://dx.doi.org/10.1029/2022JD037201">
 

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Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors

Carolyn E. Jordan, National Institute of Aerospace; NASA Langley Research Center
Bruce E. Anderson, NASA Langley Research Center
John D. Barrick, NASA Langley Research Center; Science Systems and Applications Inc.
Dani Blum, Brown University
Kathleen Brunke, Christopher Newport University
Jiajue Chai, Brown University
Gao Chen, NASA Langley Research Center
Ewan C. Crosbie, NASA Langley Research Center; Science Systems and Applications Inc.
Jack E. Dibb, University of New Hampshire, DurhamFollow
Ann M. Dillner, University of California, Davis
Emily Gargulinski, National Institute of Aerospace; NASA Langley Research Center
Charles H. Hudgins, NASA Langley Research Center; Science Systems and Applications Inc.
Emily Joyce, Brown University
Jackson Kaspari, University of New Hampshire
Robert F. Martin, NASA Langley Research Center
Richard H. Moore, NASA Langley Research Center
Rachel O’Brien, William & Mary
Claire E. Robinson, NASA Langley Research Center; Science Systems and Applications Inc.; William & Mary
Gregory L. Schuster, NASA Langley Research Center
Taylor J. Shingler, NASA Langley Research Center
Michael A. Shook, NASA Langley Research Center
Amber J. Soja, National Institute of Aerospace; NASA Langley Research Center
Kenneth L. Thornhill, NASA Langley Research Center; Science Systems and Applications Inc.
Andrew T. Weakley, University of California, Davis
Elizabeth B. Wiggins, NASA Langley Research Center
Edward L. Winstead, NASA Langley Research Center; Science Systems and Applications Inc.
Luke D. Ziemba, NASA Langley Research Center

Abstract

Ångström exponents (α) allow reconstruction of aerosol optical spectra over a broad range of wavelengths from measurements at two or more wavelengths. Hyperspectral measurements of atmospheric aerosols provide opportunities to probe measured spectra for information inaccessible from only a few wavelengths. Four sets of hyperspectral in situ aerosol optical coefficients (aerosol-phase total extinction, σext, and absorption, σabs; liquid-phase soluble absorption from methanol, σMeOH-abs, and water, σDI-abs, extracts) were measured from biomass burning aerosols (BBAs). Hyperspectral single scattering albedo (ω), calculated from σext and σabs, provide spectral resolution over a wide spectral range rare for this optical parameter. Observed spectral shifts between σabs and σMeOH-abs/σDI-abs argue in favor of measuring σabs rather than reconstructing it from liquid extracts. Logarithmically transformed spectra exhibited curvature better fit by second-order polynomials than linear α. Mapping second order fit coefficients (a1, a2) revealed samples from a given fire tended to cluster together, that is, aerosol spectra from a given fire were similar to each other and somewhat distinct from others. Separation in (a1, a2) space for spectra with the same α suggest additional information in second-order parameterization absent from the linear fit. Spectral features found in the fit residuals indicate more information in the measured spectra than captured by the fits. Above-detection σMeOH-abs at 0.7 μm suggests assuming all absorption at long visible wavelengths is BC to partition absorption between BC and brown carbon (BrC) overestimates BC and underestimates BrC across the spectral range. Hyperspectral measurements may eventually discriminate BBA among fires in different ecosystems under variable conditions.

Department

Earth Systems Research Center

Publication Date

10-26-2022

Journal Title

Journal of Geophysical Research: Atmospheres

Publisher

AGU

Digital Object Identifier (DOI)

https://dx.doi.org/10.1029/2022JD037201

Document Type

Article

Rights

© 2022. The Authors.

Comments

This is an open access article published by AGU in Journal of Geophysical Research: Atmospheres in 2022, available online: https://dx.doi.org/10.1029/2022JD037201

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