Japan Geoscience Union Meeting 2019

Presentation information

[J] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-CC Cryospheric Sciences & Cold District Environment

[A-CC27] Glaciology

Wed. May 29, 2019 9:00 AM - 10:30 AM 303 (3F)

convener:Takayuki Nuimura(Tokyo Denki University), Ishikawa Mamoru(Hokkaido University), Kzutaka Tateyama(National University Corporation Kitami Institute of Technology), Hiroto Nagai(Waseda Univ., School of Education), Chairperson:Hiroto Nagai(Japan Aerospace Exploration Agency)

9:15 AM - 9:30 AM

[ACC27-02] Overview of the cryospheric variables derived from GCOM-C/SGLI observations: The first-year results

★Invited Papers

*Masahiro Hori1, Teruo Aoki2,4, Knut Stamnes3, Wei Li3, Nan Chen3, Rigen Shimada1, Tomonori Tanikawa4, Masashi Niwano4 (1.Earth Observation Reseacrh Center, Japan Aerospace Exploration Agency, 2.Okayama University, 3.Stevens Institute of Technology, 4.Meteorological Research Institute)

Keywords:GCOM-C, SGLI, Snow Cover, Snow Grain Size, Surface Temperature, Remote Sensing

The “Global Change Observation Mission-Climate” (GCOM-C) is an Earth observing satellite of Japan Aerospace Exploration Agency (JAXA) for the global observation of the Earth environment. GCOM-C carries a multi-spectral optical radiometer named Second Generation Global Imager (SGLI), which has special features of wide spectral coverage from 380 nm to 12 μm, a high spatial resolution of 250 m, a field of view exceeding 1000 km, two-direction simultaneous observation, and polarization observation. The GCOM-C satellite was successfully launched from the Tanegashima Space Center in Japan on December 23, 2017 and SGLI started the Earth observations on January 1st, 2018. From the SGLI observations snow-related variables such as snow and ice cover extent, snow grain size, and snow surface temperature are being retrieved and the products of those variables have been released to the public from the JAXA’s satellite data providing service “G-Portal” (https://gportal.jaxa.jp/gpr/index/index) since December 20th 2018. These snow physical variables are important for determining spectral albedo and radiation budget at the snow surface. In this presentation, the first-year results of SGLI snow observations are presented as well as the introduction of the SGLI products with the special attention to the thermal infrared observations at 250-m spatial resolution.