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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 9, issue 3 | Copyright
Atmos. Meas. Tech., 9, 1415-1430, 2016
https://doi.org/10.5194/amt-9-1415-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 01 Apr 2016

Research article | 01 Apr 2016

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

Minqiang Zhou1,2,3, Bart Dils2, Pucai Wang1, Rob Detmers4, Yukio Yoshida5, Christopher W. O'Dell6, Dietrich G. Feist7, Voltaire Almario Velazco8, Matthias Schneider9, and Martine De Mazière2 Minqiang Zhou et al.
  • 1Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
  • 2Belgian Institute for Space Aeronomy, Brussels, Belgium
  • 3University of Chinese Academy of Sciences, Beijing, China
  • 4SRON Netherlands Institute for Space Research, Utrecht, the Netherlands
  • 5National Institute for Environmental Studies, Tsukuba, Japan
  • 6Colorado State University, Fort Collins, CO, USA
  • 7Max Planck Institute for Biogeochemistry, Jena, Germany
  • 8Centre for Atmospheric Chemistry, University of Wollongong, Wollongong, Australia
  • 9Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe Institute of Technology, Karlsruhe, Germany

Abstract. 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%).

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The sun-glint XCO2 and XCH4 products (“ocean data”) of thermal and near infrared sensor for carbon observations Fourier transform spectrometer (TANSO-FTS) on board the Greenhouse Gases Observing Satellite (GOSAT) from several retrieval algorithms is compared with the FTIR measurements form near-ocean Total Carbon Column Observing Network (TCCON) sites, and the results indicate that the ocean data show a good agreement with TCCON measurements.
The sun-glint XCO2 and XCH4 products (“ocean data”) of thermal and near infrared sensor for...
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