Japan Geoscience Union Meeting 2016

Presentation information

International Session (Poster)

Symbol A (Atmospheric and Hydrospheric Sciences) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment

[A-AS01] Global Carbon Cycle Observation and Analysis

Tue. May 24, 2016 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall HALL6)

Convener:*Nobuko Saigusa(National Institute for Environmental Studies), Prabir Patra(Research Institute for Global Change, JAMSTEC), Toshinobu Machida(National Institute for Environmental Studies), Satoru Chatani(National Institute for Environmental Studies)

5:15 PM - 6:30 PM

[AAS01-P04] Development of Carbon cycle analysis system using satellite data and LETKF

*Takashi Maki1, Takashi Nakamura4, Tsuyoshi Thomas Sekiyama1, Takemasa Miyoshi2, Toshiki Iwasaki3 (1.Meteorological Research Institute, 2.RIKEN, 3.Graduate School of Science, Tohoku University, 4.Japan Meteorological Agency)

Keywords:Carbon Cycle, Data Assimilation, Satellite Observation

We have developed satellite data assimilation system using CO2 concentration data obtained from satellite measurements using an ensemble-based four-dimensional data assimilation system (LETKF). An online atmospheric transport model (MJ98-CDTM) is employed in the data assimilation system to optimize surface CO2 fluxes from satellite observations at spatial and temporal resolutions of 6 days and 2.8°, respectively. The features of GOSAT TIR L2 Ver. 1.0 data are their larger data number than that of SWIR L2 (about 10 times) and smaller standard deviation than their former version (TIR L2 Ver. 0.01). We have tested 4 types of satellite bias correction methods (w/o bias correction, monthly mean bias correction, all data bias correction and globally constant bias correction) using independent CO2 concentration analysis (JMA CO2 distribution) in our data assimilation system. Our results showed that estimated CO2 concentration and fluxes are significantly sensitive to bias correction method. This means that we should carefully choose satellite bias correction method. In addition, satellite data bias correction allows modifying surface CO2 flux almost entire earth surface. In the future, our satellite bias correction concept makes it possible to use multiple satellite observation data simultaneously in CO2 data assimilation.