Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published May 27, 2018 | Published
Journal Article Open

Photopolarimetric sensitivity to black carbon content of wildfire smoke: Results from the 2016 IMPACT-PM field campaign


Detailed characterization of the aerosol content of wildfire smoke plumes is typically performed through in situ aircraft observations, which have limited temporal and spatial coverage. Extending such observations to regional or global scales requires new remote sensing approaches, such as retrievals that make use of spectropolarimetric, multiangle imaging. In this work measurements made during the Imaging Polarimetric Assessment and Characterization of Tropospheric Particulate Matter (ImPACT‐PM) field campaign in a smoke plume near the town of Lebec in Southern California by the Navy Center for Interdisciplinary Remotely Piloted Aircraft Studies Twin Otter aircraft on 8 July 2016 are used in conjunction with near‐coincident measurements from the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI) on the National Aeronautics and Space Administration ER‐2 high‐altitude research aircraft to assess the sensitivity of spectropolarimetric measurements to the black carbon content of the plume. Tracking visible features in the smoke through the sequence of AirMSPI observations allowed the height of the plume to be estimated through geometric techniques. Then, by constraining the fractional amounts of the aerosol constituents with the in situ data, radiative closure was obtained through simulations performed with a polarimetric radiative transfer code, demonstrating the ability to constrain the black carbon mass fraction to approximately 5%, given the uncertainties in the AirMSPI measurements and the assumption of external mixing of aerosol components. The AirMSPI retrieval, made using a limited set of observations from the 470 nm polarimetric spectral band alone, was also generally consistent with operational retrievals of aerosol optical depth and surface reflectance made by the Multi‐Angle Implementation of Atmospheric Correction algorithm at 1 km resolution.

Additional Information

© 2018 American Geophysical Union. Received 8 NOV 2017; Accepted 8 APR 2018; Accepted article online 16 APR 2018; Published online 19 MAY 2018. We thank three anonymous reviewers for their helpful comments that we believe improved the clarity and readability of this manuscript. Portions of this work were performed at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. The ImPACT‐PM flight campaign was funded partially by the JPL President's and Director's Fund (PDF) program, and partially by NASA headquarters. The field data analysis was supported by an Atmospheric Composition Campaign Data Analysis and Modeling (ACCDAM) grant from NASA's Climate and Radiation Research and Analysis Program, under H. Maring. We acknowledge the use of Rapid Response imagery from the Land, Atmosphere Near real‐time Capability for EOS (LANCE) system operated by the NASA/GSFC/Earth Science Data and Information System (ESDIS) with funding provided by NASA/HQ. Data sets used in the production of this manuscript are archived at https://eosweb.larc.nasa.gov/project/airmspi/preliminary-datasets/ under the link "Kalashnikova_etal_JGR2018_ImPACT‐PM." Access to the data requires a free EarthData login (see webpage for details).

Attached Files

Published - Kalashnikova_et_al-2018-Journal_of_Geophysical_Research_3A_Atmospheres.pdf



Additional details

August 21, 2023
October 18, 2023