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Twilight Near-Infrared Radiometry for Stratospheric Aerosol Layer HeightThe impact of stratospheric aerosols on Earth’s climate, particularly through atmospheric heating and ozone depletion, remains a critical area of atmospheric research. While satellite data provides valuable insights, independent validation methods are necessary for ensuring accuracy. Twilight near-infrared (NIR) radiometry offers a promising approach for investigating aerosol properties, such as optical depth and layer height, at high altitudes. This study aims to evaluate the effectiveness of twilight radiometry in corroborating satellite data and assessing aerosol characteristics. Two methods based on twilight radiometry—the color ratio and the derivative method—are employed to derive the aerosol layer height and optical depth. Radiances at 450, 550, 762, 775, and 1050 nm wavelengths are analyzed at varying solar zenith angles, using zenith viewing geometry for consistency. Comparisons of aerosol optical depths (AODs) between Research Pandora (ResPan) and AErosol RObotic NETwork (AERONET) data (R = 0.99) and between ResPan and Modern-Era Retrospective analysis for Research and Applications (MERRA-2) data (R = 0.86) demonstrate a strong correlation. Twilight ResPan data are also used to estimate the aerosol layer height, with results in good agreement with SAGE and lidar measurements, particularly following the Hunga Tonga eruption in Lauder, New Zealand. The simulation database, created using the libRadtran DISORT and Monte Carlo packages for daylight and twilight calculations, is capable of detecting AODs as low as 10−3 using the derivative method. This work highlights the potential of twilight radiometry as a simple, cost-effective tool for atmospheric research and satellite data validation, offering valuable insights into aerosol dynamics at stratospheric altitudes.
Document ID
20250006477
Acquisition Source
Goddard Space Flight Center
Document Type
Preprint (Draft being sent to journal)
Authors
Lipi Mukherjee ORCID
(University of Maryland, Baltimore County Baltimore, Maryland, United States)
Dong L. Wu ORCID
(Goddard Space Flight Center Greenbelt, United States)
Nader Abuhassan
(University of Maryland, Baltimore County Baltimore, Maryland, United States)
Thomas F. Hanisco ORCID
(Goddard Space Flight Center Greenbelt, United States)
Ukkyo Jeong
(Pukyong National University Busan, South Korea)
Yoshitaka Jin
(National Institute for Environmental Studies Tsukuba, Japan)
Thierry Leblanc
(Jet Propulsion Laboratory La Cañada Flintridge, United States)
J. Ben Liley ORCID
(National Institute of Water and Atmospheric Research Auckland, New Zealand)
Bernhard Mayer ORCID
( Lehrstuhl fuer Experimentelle Meteorologie)
Forrest M. Mims
( Geronimo Creek Atmospheric Monitoring Station )
Isamu Morino ORCID
(National Institute for Environmental Studies (NIES), Japan)
Tomohiro Nagai
(Meteorological Research Institute Tsukuba, Japan)
Peter Pantina
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Richard Querel ORCID
(National Institute of Water and Atmospheric Research Auckland, New Zealand)
Tetsu Sakai ORCID
(Meteorological Research Institute Tsukuba, Japan)
Osamu Uchino
(Meteorological Research Institute Tsukuba, Japan)
Ellsworth J. Welton
(Goddard Space Flight Center Greenbelt, United States)
Stephen Windle
(University of Maryland, College Park College Park, United States)
Date Acquired
June 24, 2025
Publication Date
June 16, 2025
Publication Information
Publication: Remote Sensing
Publisher: Multidisciplinary Digital Publishing Institute (Switzerland)
Subject Category
Earth Resources and Remote Sensing
Funding Number(s)
WBS: 7892363.04.10.02
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
NASA Peer Committee
No Preview Available