Japan Geoscience Union Meeting 2016

Presentation information

International Session (Oral)

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

[A-CG10] Earth and Planetary satellite observation projects Part II: Satellite Earth Environment Observation

Tue. May 24, 2016 10:45 AM - 12:15 PM 303 (3F)

Convener:*Riko Oki(Japan Aerospace Exploration Agency), Tadahiro Hayasaka(Graduate School of Science, Tohoku University), Kaoru Sato(Department of Earth and Planetary Science, Graduate School of Science, The University of Tokyo), Masaki Satoh(Atmosphere and Ocean Research Institute, The University of Tokyo), Yoshiaki HONDA(Center for Environmental Remote Sensing, Chiba University), Kenlo Nasahara(Faculty of Life and Environmental Sciences, University of Tsukuba), Takashi Nakajima(Tokai University, School of Information Science & Technology, Dept. of Human & Information Science), Taikan Oki(Institute of Industrial Science, The University of Tokyo), Tsuneo Matsunaga(Center for Environmental Measurement and Analysis, National Institute for Environmental Studies), Yukari Takayabu(Atmosphere and Ocean Research Institute, the University of Tokyo), Hiroshi Murakami(Earth Observation Research Center, Japan Aerospace Exploration Agency), Hajime Okamoto(Kyusyu University), Gail Skofronick Jackson(NASA Goddard Space Flight Center), Paul Chang(NOAA College Park), David Crisp(Jet Propulsion Laboratory, California Institute of Technology), Chair:David Crisp(Jet Propulsion Laboratory), Tatsuya Yokota(National Institute for Environmental Studies)

12:00 PM - 12:15 PM

[ACG10-24] Synergistic observations using a wide spectral-coverage FTS and an agile pointing mechanism onboard GOSAT

*Akihiko Kuze1, Hiroshi Suto1, Kei Shiomi1, Fumie Kataoka2, Jun Yoshida3 (1.Japan Aerospace Exploration Agency, 2.Remote Sensing Technology Center of Japan, 3.NEC cooperation)

Keywords:GOSAT , TANSO-FTS, FTS, thermal infrared, polarization, vertical profile

Since February 2009, Thermal And Near infrared Sensor for carbon Observation Fourier-Transform Spectrometer (TANSO-FTS) onboard the Greenhouse gases Observing SATellite (GOSAT) has been providing long-term high-resolution radiance spectra of and uniform quality. Among the satellite-borne spectrometers for greenhouse gases (GHG) observations, only GOSAT uses FTS technology to acquire high-resolution spectra. With the FTS multiplex advantage, the single spectrometer with a common field of view can simultaneously cover both two linear polarization of the solar scattered light and thermal emission from the earth’s surface and atmosphere. After seven years of operation, most of the level 2 products have still been retrieved only from the scalar solar scattered light spectra. However, there is a strong need to acquire information for at least two vertical-layers (upper and lower atmosphere) to understand GHG dynamics. Theoretically, vertical profiles can be retrieved from thermal infrared spectra using the Levenberg-Marquardt method. The algorithm assumes that the measurements and a priori errors are random; however, actually measured radiance spectra and the forward model show calibration errors and systematic biases, respectively. In addition, in the existing retrievals, many parameter need to be retrieved simultaneously. These errors make retrievals unstable. Therefore, the parameters to be assumed and retrieved need to be reconsidered.
The modification of the light path by the scattering induced by thin clouds and aerosol scatterings, which are highly polarized, is still the largest source of errors and information on their vertical location can minimize the errors in GHG retrievals. The measured light is a combination of surface reflection and scattering by clouds and aerosols, which have different phase functions. Polarization measurement of O2 A band spectra has potential height information The TANSO-FTS instrument has a ZnSe non-coated beam with an incident angle of 45deg and a large polarization sensitivity. The analysis using vector radiative transfer calculation and an instrument Muller matrix becomes complicated. The polarization of the spectra shows strong dependency on the geometry of the sun, the target object and the satellite. A unique function of TANSO-FTS is agile targeting; the two axes mechanism helps target and view a point source from different geometries by uploading the pointing angle and location tables on a daily basis.
In this study, a simpler but robust algorithm is proposed by minimizing the number of parameters to be retrieved, and optimizing sampling pattern and viewing geometry to minimize the highly geometry-dependent polarization related errors.