Please join us for an informal seminar sponsored by
the Atomic and Molecular Physics Division,
Harvard-Smithsonian Center for Astrophysics.
(Complete schedule at
http://www.cfa.harvard.edu/amp/events.html)
11:00 AM Friday, June 15, 2012
Phillips Auditorium
60 Garden St, Cambridge, MA
The Chinese carbon dioxide observation satellite (TanSat) project
Yi Liu
(Key Laboratory of Middle Atmosphere and Global Environmental
Observation, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing)
The Chinese carbon dioxide observation satellite (TanSat) project is
one of the national high technology research and development
programs. It is funded by the ministry of science and technology of
the People¢s Republic of China and the Chinese Academy of
Sciences. The TanSat will be launched in 2015 to monitor the carbon
dioxide in Sun-Synchronous orbit. Two instruments will be onboard the
TanSat. The main instrument is a high resolution grating spectrometer
that measures reflected sunlight with the 0.76 micron O2 A-band and
two CO2 bands at 1.61 and 2.06 micron. The second instrument is the
Cloud and Aerosol polarization Imager (CAPI). It is a wide field of
view moderate resolution imaging spectrometer, and it includes 0.38,
0.67, 0.87, 1.375 and 1.64 micron channels, with polarization channels
at 0.67 micron and 1.64 micron.
Soundings recorded from main instrument will be used to retrieve the
column-averaged CO2 dry air mole fraction (XCO2), while data from CAPI
will be used to correct for cloud and aerosol interferences. A full
physical optimal estimation method is being developed as a retrieval
method of XCO2, while other sensitive parameters will be inversed at
the same time.
A ground based observation network will be established around China to
validate satellite observation of CO2, aerosol and cloud. The CO2
observation consists of 3 Bruker IFS125 and 3 Optical Spectrum
Analyzers, and the aerosol observation is achieved by 10 CE-318
sunphotometers. The object of TanSat is to monitor XCO2 from space
with precision of 1~4 ppmv. Global and regional CO2 sources and sinks
will be derived from XCO2 observations based on a data assimilation
system.
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