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Factors for inconsistent aerosol single scattering albedo between SKYNET and AERONET

Cited 22 time in Web of Science Cited 23 time in Scopus
Authors

Khatri, P.; Takamura, T.; Nakajima, T.; Estelles, V.; Irie, H.; Kuze, H.; Campanelli, M.; Sinyuk, A.; Lee, S. -M.; Sohn, B. J.; Pandithurai, G.; Kim, S. -W.; Yoon, S. C.; Martinez-Lozano, J. A.; Hashimoto, M.; Devara, P. C. S.; Manago, N.

Issue Date
2016-02
Publisher
Wiley-Blackwell
Citation
Journal of Geophysical Research: Atmospheres, Vol.121 No.4, pp.1859-1877
Abstract
SKYNET and Aerosol Robotic Network (AERONET) retrieved aerosol single scattering albedo (SSA) values of four sites, Chiba (Japan), Pune (India), Valencia (Spain), and Seoul (Korea), were compared to understand the factors behind often noted large SSA differences between them. SKYNET and AERONET algorithms are found to produce nearly same SSAs for similarity in input data, suggesting that SSA differences between them are primarily due to quality of input data due to different calibration and/or observation protocols as well as difference in quality assurance criteria. The most plausible reason for high SSAs in SKYNET is found to be underestimated calibration constant for sky radiance (). The disk scan method (scan area: 1 degrees x1 degrees area of solar disk) of SKYNET is noted to produce stable wavelength-dependent values in comparison to those determined from the integrating sphere used by AERONET to calibrate sky radiance. Aerosol optical thickness (AOT) difference between them can be the next important factor for their SSA difference, if AOTs between them are not consistent. Inconsistent values of surface albedo while analyzing data of SKYNET and AERONET can also bring SSA difference between them, but the effect of surface albedo is secondary. The aerosol nonsphericity effect is found to be less important for SSA difference between these two networks.
ISSN
2169-897X
URI
https://hdl.handle.net/10371/201049
DOI
https://doi.org/10.1002/2015JD023976
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  • College of Natural Sciences
  • Department of Earth and Environmental Sciences
Research Area Data Assimilation for Numerical Weather Prediction, Radiative Transfer Modeling, Satellite Remote Sensing

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