Effect of solar zenith angle on satellite cloud retrievals based on O2–O2 absorption band

Gyuyeon Kim, Yong Sang Choi, Sang Seo Park, Jhoon Kim

Research output: Contribution to journalArticlepeer-review

Abstract

Recent studies have attempted to monitor global air quality with geostationary satellites. However, the monitoring accuracy is affected by a high solar zenith angle (SZA) during the day-to-night transition period, since the retrieval algorithms commonly use shortwave radiation. This study investigates the inaccuracy of background cloud retrievals for air quality at high SZAs that commonly use the O2–O2 absorption band at 477 nm. To this end, the differential optical absorption spectroscopy (DOAS) method with a radiative transfer model (RTM) simulations is used to quantify the amount of O2–O2 absorption by the cloud properties. The results show that the deviation of cloud retrievals from that retrieved at zero SZA increases exponentially with increasing SZA. The cloud deviation with increasing SZA can be larger for a smaller effective cloud fraction (ECF) and higher cloud centroid pressure (CCP). At an SZA of 80°, the ECF is deviated up to 0.06 (28%) and the CCP up to–90 hPa (–13%). This cloud deviation originates from the reduction in the 477 nm reflectance in the DOAS calculation, which is primarily owing to the in-cloud absorption effect in addition to the out-of-cloud O2–O2 absorption effect. Therefore, minimizing these absorption effects in the DOAS method during day-to-night transition is crucial for improving cloud retrievals and, eventually, the overall reliability of air quality monitoring.

Original languageEnglish
Pages (from-to)4224-4240
Number of pages17
JournalInternational Journal of Remote Sensing
Volume42
Issue number11
DOIs
Publication statusPublished - 2021

Bibliographical note

Funding Information:
This study was supported by the Korean Ministry of Environment as the Eco-technopia 21 project [2012000160003]. This study was supported by the Korean Ministry of Environment as the Eco-technopia 21 project (2012000160003). We also appreciate Ms Bo-Ram Kim and Ms Min-Jae Kwon who helped to develop the GEMS cloud algorithm.

Publisher Copyright:
© 2021 Informa UK Limited, trading as Taylor & Francis Group.

All Science Journal Classification (ASJC) codes

  • Earth and Planetary Sciences(all)

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