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GOSAT Project (GOSAT stands for Greenhouse gases Observation SATellite) is a joint project of MOE (Ministry of
the Environment), JAXA (Japan Aerospace Exploration Agency) and NIES (National Institute for Environmental
Studies (NIES). Data acquired by TANSO-FTS (Fourier Transform Spectrometer) and TANSO-CAI (Cloud and Aerosol
Imager) on GOSAT (TANSO stands for Thermal And Near infrared Sensor for carbon Observation) will be
collected at Tsukuba Space Center @ JAXA. The level 1A and 1B data of FTS (interferogram and spectra,
respectively) and the level 1A of CAI (uncorrected data) will be generated at JAXA and will be transferred to
GOSAT Data Handling facility (DHF) at NIES for further processing. Radiometric and geometric correction will be
applied to CAI L1A data to generate CAI L1B data. From CAI L1B data, cloud coverage and aerosol information (CAI
Level 2 data) will be estimated. The FTS data that is recognized to have "low cloud coverage" by CAI will be processed
to generate column concentration of carbon dioxide CO2 and methane CH4 (FTS Level 2 data). Level 3 data will be
"global map column concentration" of green house gases averaged in time and space. Level 4 data will be global
distribution of carbon source/sink model and re-calculated forward model estimated by inverse model. Major data flow
will be also described. The Critical Design Review (CDR) of the DHF was completed in early July of 2007 to prepare
the scheduled launch of GOSAT in early 2009. In this manuscript, major changes after the CDR are discussed. In
addition, data acquisition scenario by FTS is also discussed. The data products can be searched and will be open to the
public through GOSAT DHF after the data validation process. Data acquisition plan is also discussed and the discussion
will cover lattice point observation for land area, and sun glint observation over water area. The Principal Investigators
who submitted a proposal for Research Announcement will have a chance to request the specific observation, early
standard data delivery and research data delivery.
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