Validation and diurnal variation evaluation of MERRA-2 multiple aerosol properties on a global scale

Su, Xin; Huang, Yuhang; Wang, Lunche; Cao, Mengdan; Feng, Lan

doi:10.1016/j.atmosenv.2023.120019

Cited by 9 publications

(1 citation statement)

References 63 publications

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“…The overall increase of nighttime AOD with respect to daytime can be attributed to various factors, including a decrease in the height of the mixed layer with less horizontal mixing and transportation, a reduction in the atmospheric environmental capacity, an increase in relative humidity, enhanced aerosol hygroscopic growth, or intensified pollution emissions (Brock et al., 2016). Similar differences (i.e., higher AOD for nighttime) have been noted in previous studies (Perrone et al., 2022; Song et al., 2018; Su et al., 2023). Nonetheless, studies on nighttime aerosol properties are quite limited and additional analysis is needed to fully explain these differences, which is beyond the scope of this study.…”

Section: Resultssupporting

confidence: 89%

Estimation of Nighttime Aerosol Optical Depths Using Atmospheric Infrared Sounder Longwave Radiances

Liu,

Li,

et al. 2024

Geophysical Research Letters

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Aerosol remote sensing typically relies on reflected shortwave radiation and thus lacks nighttime retrievals. Here we made an original attempt to retrieve nighttime aerosol optical depth (AOD) by utilizing longwave measurements in the atmospheric window region from the Atmospheric InfraRed Sounder (AIRS) instrument. A machine‐learning based algorithm is developed using AIRS longwave radiance and auxiliary data as the input and AOD from Moderate Resolution Imaging Spectroradiometer (MODIS) as well as reanalysis surface temperature as the output. Independent validation indicates good agreement with lunar AOD derived from surface photometers. An overall increase in nighttime AOD compared to daytime is also uncovered, which is further corroborated by surface and space lidar measurements. The theoretical basis of the algorithm is further verified using radiative transfer simulations. Our approach substantially extends the potential of hyperspectral longwave measurements and offers valuable insights into nighttime aerosol properties.

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