Japan Geoscience Union Meeting 2014

Presentation information

Print

International Session (Oral)

Symbol A (Atmospheric, Ocean, and Environmental Sciences) » A-CG Complex & General

[A-CG06_29PM2] Satellite Earth Environment Observation

Tue. Apr 29, 2014 4:15 PM - 6:00 PM 315 (3F)

Convener:*Riko Oki(Japan Aerospace Exploration Agency), Yoshiaki Honda(Chiba University, Center for Environmental), Kenlo Nishida Nasahara(Institute of Agricultural and Forest Engineering, University of Tsukuba), Takashi Nakajima(Tokai University Department of Network and Computer Engineering, School of Information and Design Engineering), Taikan Oki(Institute of Industrial Science, The University of Tokyo), Yokota Tatsuya(Center for Global Environmental Research, National Institute for Environmental Studies), Yukari N. Takayabu(Atmosphere and Ocean Research Institute(AORI), The University of Tokyo), Hiroshi Murakami(Earth Observation Research Center, Japan Aerospace Exploration Agency), Hajime Okamoto(Research Institute for Applied Mechanics,Kyushu University), Chair:Hiroshi Murakami(Earth Observation Research Center, Japan Aerospace Exploration Agency), Kenlo Nasahara(Faculty of Life and Environmental Sciences, University of Tsukuba)

5:45 PM - 6:00 PM

[ACG06-P03_PG] A study of multi-pixel and multi-parameter satellite remote sensing for aerosol properties

3-min talk in an oral session

*Makiko HASHIMOTO1, Shotaro MORIMOTO1, Hideaki TAKENAKA1, Teruyuki NAKAJIMA1 (1.AORI, the University of Tokyo)

Keywords:GCOM/C-SGLI, Aerosol, Satellite remote-sensing

We have developed a new satellite remote sensing algorithm to retrieve the aerosol optical characteristics using multi-pixel information of satellite imagers. In this algorithm, the inversion method is a combination of the MAP method (Maximum a posteriori method, Rodgers, 2000) and the Phillips-Twomey method (Phillips, 1962; Twomey, 1963) as a smoothing constraint for the state vector. Retrieved parameters in our algorithm are aerosol optical properties, such as aerosol optical thickness (AOT) of fine mode, sea salt, and dust particles, a volume soot fraction in fine mode particles, and ground surface albedo of each observed wavelength. We simultaneously retrieve all the parameters that characterize pixels in each of horizontal sub-domains consisting the target area. Then we successively apply the retrieval method to all the sub-domains in the target area.We conducted numerical tests for the retrieval of aerosol properties and ground surface albedo for GOSAT/CAI imager data to test the algorithm for the land area. The result of the experiment showed that AOTs of fine mode and dust particles, soot fraction and ground surface albedo are successfully retrieved within absolute. We discuss the accuracy of the algorithm for various land surface types. Our future work is to extend the algorithm for analysis of AGEOS-II/GLI and GCOM/C-SGLI data.