Japan Geoscience Union Meeting 2023

Presentation information

[E] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-CG Complex & General

[A-CG37] Satellite Earth Environment Observation

Fri. May 26, 2023 10:45 AM - 12:15 PM 104 (International Conference Hall, Makuhari Messe)

convener:Riko Oki(Japan Aerospace Exploration Agency), Yoshiaki HONDA(Center for Environmental Remote Sensing, Chiba University), Yukari Takayabu(Atmosphere and Ocean Research Institute, the University of Tokyo), Tsuneo Matsunaga(Center for Global Environmental Research and Satellite Observation Center, National Institute for Environmental Studies), Chairperson:Kozo OKAMOTO(Meteorological Research Institute)

11:00 AM - 11:15 AM

[ACG37-08] Comparison between SGLI/GCOM-C and MODIS/Terra observed Level 2.0 cloud properties

*Pradeep Khatri1, Tadahiro Hayasaka1 (1.Center for Atmospheric and Oceanic Studies,Tohoku University)

Keywords:MODIS, SGLI, Optical thickness, Effective radius, water clouds, ice clouds

We compared Level 2.0 water and ice cloud properties between Second-generation Global Imager (SGLI) aboard GCOM-C satellite and Moderate Resolution Imaging Spectroradiometer (MODIS) aboard Terra satellite for both land and ocean surfaces. The cloud pixels identified as water phase by both satellite sensors are highly consistent to each other by more than 90%, although the consistency is only ~60% for ice phase cloud pixels. Comparison of cloud properties—cloud optical thickness (COT) and cloud particle effective radius (CER)—between these two satellite sensors reveals that water and ice cloud properties can have different degree of agreement depending on underlying surface. The relative difference (RD) values of 22%(18%) and 37% (24%) for water cloud COT(CER) comparison over ocean and land surfaces and respective values of 35%(42%) and 35% (62%) for comparisons of ice cloud properties, and also other comparison metrics, suggest better agreements for water cloud properties than for ice cloud properties and for ocean surface than for land surface. Though cloud properties differences between MODIS and SGLI can arise from inherent features of cloud retrieval algorithms, such as differences in ancillary data, surface reflectance, cloud droplet size distribution function, model for ice particle habit etc., this study further identifies important roles of cloud thickness and Sun and satellite positions for differences in cloud properties between SGLI and MODIS: the differences in cloud properties are found to increase for thinner clouds, higher solar zenith angle, and higher differences in viewing zenith and azimuth angles between these satellite sensors, and such differences are more distinct for water cloud properties than for ice cloud properties.