Twilight Near-Infrared Radiometry for Stratospheric Aerosol Layer Height
The 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 provide 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.
Authors
- Tomohiro Nagai
- Dong L. Wu (ORCID: https://orcid.org/0000-0002-3490-9437)
- Peter Pantina
- Ellsworth J. Welton (ORCID: https://orcid.org/0000-0003-0208-4861)
- Ukkyo Jeong (ORCID: https://orcid.org/0000-0001-8124-1495)
- S. Nicholls (ORCID: https://orcid.org/0000-0003-4786-5346)
- Nader Abuhassan (ORCID: https://orcid.org/0000-0002-3865-657X)
- Richard Querel (ORCID: https://orcid.org/0000-0001-8792-2486)
- Forrest M. Mims (ORCID: https://orcid.org/0000-0002-8680-7758)
- Lipi Mukherjee (ORCID: https://orcid.org/0000-0001-8546-7088)
- Yoshitaka Jin (ORCID: https://orcid.org/0000-0002-1814-9167)
- Isamu Morino (ORCID: https://orcid.org/0000-0003-2720-1569)
- Tetsu Sakai (ORCID: https://orcid.org/0000-0001-8916-2695)
- Bernhard Mayer (ORCID: https://orcid.org/0000-0002-3358-0190)
- Thomas Frost Hanisco (ORCID: https://orcid.org/0000-0001-9434-8507)
- Thierry Leblanc
- Osamu Uchino
- Stephen Windle
Institutions
- Goddard Space Flight Center (US)
- Jet Propulsion Laboratory (US)
- National Institute for Environmental Studies (JP)
- Japan Meteorological Agency (JP)
- SciGlob (United States) (US)
- Science Systems and Applications (United States) (US)
- Meteorological Research Institute (JP)
- National Institute of Water and Atmospheric Research (NZ)
- University of Maryland, College Park (US)
- University of Maryland, Baltimore County (US)
- Ludwig-Maximilians-Universität München (DE)
- Pukyong National University (KR)
Publication Details
- Journal
- Remote Sensing
- Published
- 2025-06-16
- DOI
- https://doi.org/10.3390/rs17122071
- Primary Topic
- Atmospheric aerosols and clouds
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Aeronautics and Space Administration
- Goddard Space Flight Center