Validation of TANSO-FTS/GOSAT XCO₂ and XCH₄ glint mode retrievals using TCCON data from near-ocean sites.

Minqiang Zhou; Dils, Bart; Pucai Wang; Detmers, Rob; Yukio Yoshida; O'Dell, Christopher W.; Feist, Dietrich G.; Velazco, Voltaire Almario; Schneider, Matthias; De Mazière, Martine

The thermal And near infrared sensor for carbon observations Fourier transform spectrometer (TANSO-FTS) on board the Greenhouse Gases Observing Satellite (GOSAT) applies the normal nadir mode above the land ("land data") and sun glint mode over the ocean ("ocean data") to provide global distributions of column-averaged dry-air mole fractions of CO2 and CH4, or XCO2 and XCH4. Several algorithms have been developed to obtain highly accurate greenhouse gas concentrations from TANSO-FTS/GOSAT spectra. So far, all the retrieval algorithms have been validated with the measurements from ground-based Fourier transform spectrometers from the Total Carbon Column Observing Network (TCCON), but limited to the land data. In this paper, the ocean data of the SRPR, SRFP (the proxy and full-physics versions 2.3.5 of SRON/KIT's RemoTeC algorithm), NIES (National Institute for Environmental Studies operational algorithm version 02.21) and ACOS (NASA's Atmospheric CO2 Observations from Space version 3.5) are compared with FTIR measurements from five TCCON sites and nearby GOSAT land data. For XCO2, both land and ocean data of NIES, SRFP and ACOS show good agreement with TCCON measurements. Averaged over all TCCON sites, the relative biases of ocean data and land data are -0.33 and -0.13 % for NIES, 0.03 and 0.04% for SRFP, 0.06 and -0.03 % for ACOS, respectively. The relative scatter ranges between 0.31 and 0.49%. For XCH4, the relative bias of ocean data is even less than that of the land data for the NIES (0.02 vs. -0.35 %), SRFP (0.04 vs. 0.20%) and SRPR (-0.02 vs. 0.06%) algorithms. Compared to the results for XCO2, the XCH4 retrievals show larger relative scatter (0.65-0.81 %).

INFRARED detectors; CARBON dioxide; SPECTRUM analysis; SATELLITE meteorology; METHANE

Atmospheric Measurement Techniques, 2016, Vol 9, Issue 3, p1415

1867-1381

Academic Journal

10.5194/amt-9-1415-2016