Empirical analysis of aerosol and thin cloud optical depth effects on CO2 retrievals from GOSAT

Tuesday, 16 December 2014
Auromeet Saha1,2, Norman T. O'Neill1, Kim Strong3, Teruyuki Nakajima4, Osamu Uchino5 and Masataka Shiobara6, (1)University of Sherbrooke, Sherbrooke, QC, Canada, (2)Environment Canada Toronto, Toronto, ON, Canada, (3)University of Toronto, Toronto, ON, Canada, (4)Atmosphere and Ocean Research Institute University of Tokyo, Tokyo, Japan, (5)National Institute for Environmental Studies (NIES), Tsukuba, Japan, (6)NIPR National Institute of Polar Research, Tokyo, Japan
Ground-based sunphotometer observations of aerosol and cloud optical properties at AEROCAN / AERONET sites co-located with TCCON (Total Carbon Column Observing Network) high resolution Fourier Transform Spectrometers (FTS) were used to investigate the aerosol and cloud influence on column-averaged dry-air mole fraction of carbon dioxide (XCO2) retrieved from the TANSO-FTS (Thermal And Near-infrared Sensor for carbon Observation - FTS) of GOSAT (Greenhouse gases Observing SATellite). This instrument employs high resolution spectra measured in the Short-Wavelength InfraRed (SWIR) band to retrieve XCO2estimates.

GOSAT XCO2 retrievals are nominally corrected for the contaminating backscatter influence of aerosols and thin clouds. However if the satellite-retrieved aerosol and thin cloud optical depths applied to the CO2 correction is biased then the correction and the retrieved CO2 values will be biased. We employed independent ground based estimates of both cloud screened and non cloud screened AOD (aerosol optical depth) in the CO2 SWIR channel and compared this with the GOSAT SWIR-channel OD retrievals to see if that bias was related to variations in the (generally negative) CO2 bias (ΔXCO2= XCO2(GOSAT) - XCO2(TCCON)). Results are presented for a number of TCCON validation sites.