Abstract

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 %).

Highlights

  • Carbon dioxide (CO2) and methane (CH4) are the two most abundant anthropogenic greenhouse gases and play important roles in global warming and climate change (IPCC, 2013)

  • After a priori and altitude correction, the time series of Gases Observing Satellite (GOSAT) retrievals and Total Carbon Column Observing Network (TCCON) measurements are shown in Figs. 4 and 6 and the statistics are listed in Tables 3 and 4, for XCO2 and XCH4, respectively

  • The XCO2 and XCH4 GOSAT sun glint mode retrievals from National Institute for Environmental Studies (NIES) v02.21, SRFP v2.3.5, SRPR v2.3.5 and ACOS v3.5 algorithms were validated with the FTIR measurements from five TCCON stations and nearby GOSAT land data

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Summary

Introduction

Carbon dioxide (CO2) and methane (CH4) are the two most abundant anthropogenic greenhouse gases and play important roles in global warming and climate change (IPCC, 2013). Zhou et al.: Validation of TANSO-FTS/GOSAT XCO2 and XCH4 glint mode retrievals based on in situ stations These measurements provide precise results, they are limited by their spatial coverage and uneven distributions (Bousquet et al, 2006; Marquis and Tans, 2008). Most of these stations are located in the boundary layer, and sink estimates derived from these data are directly influenced by their sensitivity to the inversion model local vertical transport (Houweling et al, 1999; Stephens et al, 2007). The satellite missions provide us with a unique view of global XCO2 and XCH4 distributions

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