Aerosol layer height (ALH) is a key parameter for assessing aerosol impacts on weather, climate, and atmospheric correction. Accurate ALH retrieval improves the understanding of aerosol-cloud interactions and aids in surface air quality monitoring. However, conventional remote sensing techniques often struggle with ALH determination over oceans due to the complexities of aerosol vertical distribution and optical properties. These challenges necessitate the development of advanced instruments and methods capable of reliably measuring ALH, which are crucial for refining climate models and improving atmospheric corrections.
Conducted by researchers from the University of Maryland and the University of Iowa, the study (DOI: 10.34133/remotesensing.0167) was published in the Journal of Remote Sensing on July 23, 2024. It evaluates the capability of NASA’s PACE satellite, launched in early 2024, to measure ALH using Ocean Color Instrument (OCI). The study focuses on analyzing OCI’s sensitivity to the oxygen A and B bands, validating the findings with proxy data from TROPOMI.
The study employed OCI on NASA's PACE satellite to retrieve ALH using the oxygen A and B absorption bands. Researchers conducted radiative transfer simulations to assess these bands' sensitivity to vertical aerosol profiles, focusing on smoke and dust events. The 762.5 nm band in the oxygen A band and the 690 nm band in the oxygen B band were identified as the most sensitive to ALH changes, making them key channels for retrieval. Validation with TROPOMI proxy data showed strong alignment with CALIOP lidar measurements, with errors of 0.49 km for smoke and 0.31 km for dust, demonstrating that OCI can effectively retrieve ALH with precise uncertainty levels, enhancing aerosol monitoring over oceans.
“This research highlights OCI's potential to accurately measure aerosol layer heights, improving atmospheric correction and enhancing our understanding of aerosol behavior,” said Dr. Xiaoguang Xu, lead author of the study. “The oxygen absorption bands provide valuable data that can refine our approach to monitoring aerosol dynamics.”
Accurate retrieval of aerosol layer height from OCI observations can significantly benefit climate research, atmospheric corrections, and aerosol monitoring. The methods developed offer a solid basis for future aerosol retrieval algorithms, enhancing data quality for scientific research and environmental management.
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References
DOI
10.34133/remotesensing.0167
Original Source URL
https://doi.org/10.34133/remotesensing.0167
Funding information
The authors declare that financial support was received for the research, authorship, and/or publication of this article. This research was funded by the NASA Remote Sensing Theory program (Grant No. 80NSSC20K1747), the DSCOVR program (Grant No. 80NSSC22K0503), and the UMBC START and CIDER awards.
About Journal of Remote Sensing
The Journal of Remote Sensing, an online-only Open Access journal published in association with AIR-CAS, promotes the theory, science, and technology of remote sensing, as well as interdisciplinary research within earth and information science.