JpGU-AGU Joint Meeting 2017

講演情報

[EE] 口頭発表

セッション記号 A (大気水圏科学) » A-CG 大気水圏科学複合領域・一般

[A-CG46] [EE] 衛星による地球環境観測

2017年5月21日(日) 13:45 〜 15:15 104 (国際会議場 1F)

コンビーナ:沖 理子(宇宙航空研究開発機構)、Allen A Huang(University of Wisconsin Madison)、Gail Skofronick Jackson(NASA Goddard Space Flight Center)、本多 嘉明(千葉大学環境リモートセンシング研究センター)、Paul Chang(NOAA College Park)、座長:松永 恒雄(国立環境研究所地球環境研究センター/衛星観測センター)

14:00 〜 14:15

[ACG46-32] GOSAT-2 science plan and recent progress in sensor development for CO2 monitoring over mega-cities from space

★招待講演

*今須 良一1松永 恒雄2横田 達也2 (1.東京大学大気海洋研究所、2.国立環境研究所)

キーワード:GOSAT-2, science plan, mega-city

Greenhouse gases Observing Satellite (GOSAT) was launched on January 23, 2009, and it has provided worldwide scientists with high quality observational data for more than 7 years. The primary purpose of the mission is to reduce the posterior error in inversion analysis of CO2 source/sink strengths by about 50% in some sub-continental scales (several thousand kilometers square). As have already showed by previous studies (e.g., Takagi et al., 2011), the original purpose has been accomplished on a project basis. Based on these successful results, its successor, GOSAT-2 has been designed and developed to be launched in FY2018. At the same time, the science team of the project started discussion on its scientific objectives to be summarized as "Science Plan". Most important obligation for the project to the scientific community is the continuity of the observational data connecting from GOSAT project with the same or, hopefully better quality. The improvement of signal-to-noise ratio (SNR) of TANSO-2 Fourier transform spectrometer/GOSAT-2 ensures the continuity, and furthermore observable regions could be expanded toward higher latitudes and the region size of inversion analyses is expected to be able to be smaller. Its scientific objectives can be classified into four categories for CO2; 1) fusion of bottom-up and top-down approaches in budget analyses, 2)up grading of prediction performances of land-ecosystem models and coupling to the inversion models, 3)improvement of detectability of hotspots, and 4)contribution to REDD+ by providing the relevant community with desired data. As for CH4, 1)detection of changes in emissions from wetlands attributing to global warming, 2)watching the gas leaks from pipelines, 3)monitoring the emission from agricultural sources, and 4)investigations on the long-term trend of increasing rate of atmospheric concentration. Recently, satellite sensors of which instantaneous field of view (IFOV) is narrow enough to resolve emission sources in mega-cities have been developed (e.g., CLAIRE/GHGsat). However, their calibration accuracies are not necessarily better than preexisting sensors. One possible way to apply these sensors to monitor small emissions with useful accuracy is combining the sensors with well calibrated sensors such as GOSAT-2 on radiance or higher product level basis. In this point of view, GOSAT-2 sensors are expected to keep the highest performance of accuracy.