Japan Geoscience Union Meeting 2016

Presentation information

Oral

Symbol A (Atmospheric and Hydrospheric Sciences) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment

[A-AS12] Atmospheric Chemistry

Thu. May 26, 2016 9:00 AM - 10:30 AM 303 (3F)

Convener:*Hitoshi Irie(Center for Environmental Remote Sensing, Chiba University), Toshinobu Machida(National Institute for Environmental Studies), Hiroshi Tanimoto(National Institute for Environmental Studies), Yoko Iwamoto(Faculty of Science Division I, Tokyo University of Science), Chair:Yugo Kanaya(Department of Environmental Geochemical Cycle Research, Japan Agency for Marine-Earth Science and Technology), Hitoshi MATSUI(Graduate School of Environmental Studies, Nagoya University)

9:45 AM - 10:00 AM

[AAS12-16] Aerosol single scattering albedo comparison between SKYNET and AERONET

*Pradeep Khatri1, Hitoshi Irie1, Tamio Takamura1 (1.Center for Environmental Remote Sensing, Chiba University)

Keywords:aerosol, single scattering albedo, SKYNET

SKYNET and AERONET are two aerosol observing networks in the world. Though aerosol optical thickness (AOT) between them are reported to agree fairly well, their aerosol single scattering albedo (SSA) values have some difference. To explore the reasons behind inconsistent SSA between SKYNET and AERONET, we analyzed collocated observation data of SKYNET and AERONET of four sites, Chiba (Japan), Pune (India), Valencia (Spain), and Seoul (Korea). 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 systematically overestimated SKYNET SSAs is found to be underestimated calibration constant for sky radiances determined from the disk scan method in SKYNET, though the disk scan method is noted to produce stable wavelength dependent values in comparison to those determined from the integrating sphere used by AERONET. Aerosol optical thickness (AOT) difference between them can be the next important factor for their SSA difference, if AOTs between them are not consistent. Difference in surface albedos between SKYNET and AERONET while analyzing data can also bring SSA difference between them, but the effect of surface albedo is secondary. The aerosol non-sphericity effect is found to be less important for SSA difference between these two networks.