Estimation of anthropogenic CO2 emission from Kanto region, include Tokyo
Yutaka Arai, Atmosphere and Ocean Research Institute, The University of Tokyo, yarai-aori@g.ecc.u-tokyo.ac.jp (Presenter)
Ryoichi Imasu, Atmosphere and Ocean Research Institute, The University of Tokyo, imasu@aori.u-tokyo.ac.jp
Qiao Wang, Atmosphere and Ocean Research Institute, The University of Tokyo, qwang@aori.u-tokyo.ac.jp
Hiroaki Kondo, National Institute of Advanced Industrial Science and Technology, kondo-hrk@aist.go.jp
Atmospheric carbon dioxide ( CO2 ) is well known the one of the factor for global warming. So many researches have been done using CO2 observation and atmospheric CO2 model about the CO2 behavior in the atmosphere and the estimation of the anthropogenic CO2 emission from global area. Especially in the present, the estimation research of anthropogenic CO2 emission has been done, as the calculation method called data assimilation which merges the model calculation and observation evolved. As the research about estimation of anthropogenic CO2 emission from local area is limited and that is not well understood, we tried to estimate the anthropogenic CO2 emission from Kanto region using the data assimilation method. Kanto region includes mega city, Tokyo, industry area in Tokyo bay and Kashima, thermal power stations and surrounds by fields, rice fields and mountains. So this area which is effected by anthropogenic and plant activities is very complex.
In this research, we used local area model called AIST-MM( Kondo et al, 2001 ). Anthropogenic CO2 emission data were used adjusted EAGrid 2000-JAPAN data( Kannari et al, 2007 ). Target area is the Kanto region( 35N-36.3333N, 139E-141E ) and to estimate CO2 emission, we adapted the data assimilation method called Local Ensemble Transform Kalman Filter. In-situ observation data and satellite observation data( GOSAT-1/-2, OCO-2/-3 ) were used for data assimilation calculation.
I will present the estimation results of the anthropogenic CO2 emission using the method and these observation data.
Poster: Poster_Arai__86_25.pdf
Presentation Type: Poster
Session: 4.2a Observations to quantify hot spots and local/urban emissions
Session Date: Thursday (6/17) 10:00 AM