Abstract

Abstract. This paper discusses the retrieval of atmospheric methane profiles from the thermal infrared band of the Japanese Greenhouse Gases Observing Satellite (GOSAT) between 1210 and 1310 cm−1, using the RemoTeC analysis software. Approximately one degree of information on the vertical methane distribution is inferred from the measurements, with the main sensitivity at about 9 km altitude but little sensitivity to methane in the lower troposphere. For verification, we compare the GOSAT-TIR methane profile retrieval results with profiles from model fields provided by the Monitoring Atmospheric Composition and Climate (MACC) project, scaled to the total column measurements of the Total Carbon Column Observing Network (TCCON) at ground-based measurement sites. Without any radiometric corrections of GOSAT observations, differences between both data sets can be as large as 10 %. To mitigate these differences, we developed a correction scheme using a principal component analysis of spectral fit residuals and airborne observations of methane during the HIAPER pole-to-pole observations (HIPPO) campaign II and III. When the correction scheme is applied, the bias in the methane profile can be reduced to less than 2 % over the whole altitude range with respect to MACC model methane fields. Furthermore, we show that, with this correction, the retrievals result in smooth methane fields over land and ocean crossings and no differences can be discerned between daytime and nighttime measurements. Finally, a cloud filter is developed for the nighttime and ocean measurements. This filter is rooted in the GOSAT-TIR (thermal infrared) measurements and its performance, in terms of biases, is consistent with the cloud filter based on the GOSAT-SWIR (shortwave infrared) measurements. The TIR filter shows a higher acceptance rate of observations than the SWIR filter, at the cost of a higher uncertainty in the retrieved methane profiles.

Highlights

  • Methane (CH4) is, after carbon dioxide (CO2), the strongest anthropogenic greenhouse gas, with an estimated total radiative forcing of 0.97 W m−2 for 2011 with respect to the preindustrial levels of the year 1750 (Myhre et al, 2013)

  • The current study focuses on the retrieval of methane profiles from Gases Observing Satellite (GOSAT) observation in the thermal infrared band 1210–1310 cm−1

  • We use a different algorithm and apply the RemoTeC retrieval tool to analyse the GOSAT-TIR measurements with a degrees of freedom for signal (DOFS) ≈ 1 and verify the retrieval results with profiles of the Monitoring of Atmospheric Composition and Climate (MACC) project scaled to the total column measurements of the Total Carbon Column Network (TCCON) at ground-based measurements sites

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Summary

Introduction

Methane (CH4) is, after carbon dioxide (CO2), the strongest anthropogenic greenhouse gas, with an estimated total radiative forcing of 0.97 W m−2 for 2011 with respect to the preindustrial levels of the year 1750 (Myhre et al, 2013). Satellite nadir measurements of CH4 in the thermal infrared (TIR) represent an important element of a climate observing system because of the pronounced methane sensitivity of the measurements in the upper troposphere These measurements can aid in the decoupling of methane emissions and transport in inverse-modelling studies (Jacob et al, 2016; Bousserez et al, 2015). We use a different algorithm and apply the RemoTeC retrieval tool to analyse the GOSAT-TIR measurements with a degrees of freedom for signal (DOFS) ≈ 1 and verify the retrieval results with profiles of the Monitoring of Atmospheric Composition and Climate (MACC) project scaled to the total column measurements of the Total Carbon Column Network (TCCON) at ground-based measurements sites. For further details on the instrument, its calibration, and performance, we refer to Kuze et al (2009, 2014, 2016)

Retrieval
Forward model
Inversion
Validation approach
CH4 retrievals
Bias correction scheme
Bias-corrected methane retrievals
Findings
Conclusions
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