Validation of XCH4derived from SWIR spectra of GOSAT TANSO-FTS with aircraft measurement data

M. Inoue, I. Morino, O. Uchino, Y. Miyamoto, T. Saeki, Y. Yoshida, T. Yokota, C. Sweeney, P. P. Tans, S. C. Biraud, T. Machida, J. V. Pittman, E. A. Kort, T. Tanaka, S. Kawakami, Y. Sawa, K. Tsuboi, H. Matsueda

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)


Column-averaged dry-air mole fractions of methane (XCH4), retrieved from Greenhouse gases Observing SATellite (GOSAT) short-wavelength infrared (SWIR) spectra, were validated by using aircraft measurement data from the National Oceanic and Atmospheric Administration (NOAA), the US Department of Energy (DOE), the National Institute for Environmental Studies (NIES), the HIAPER Pole-to-Pole Observations (HIPPO) program, and the GOSAT validation aircraft observation campaign over Japan. In the calculation of XCH4from aircraft measurements (aircraft-based XCH4), other satellite data were used for the CH4profiles above the tropopause. We proposed a data-screening scheme for aircraft-based XCH4for reliable validation of GOSAT XCH4. Further, we examined the impact of GOSAT SWIR column averaging kernels (CAK) on the aircraft-based XCH4calculation and found that the difference between aircraft-based XCH4with and without the application of the GOSAT CAK was less than ±9 ppb at maximum, with an average difference of -0.5 ppb. We compared GOSAT XCH4 Ver. 02.00 data retrieved within ±2° or ±5° latitude-longitude boxes centered at each aircraft measurement site with aircraft-based XCH4measured on a GOSAT overpass day. In general, GOSAT XCH4was in good agreement with aircraft-based XCH4. However, over land, the GOSAT data showed a positive bias of 1.5 ppb (2.0 ppb) with a standard deviation of 14.9 ppb (16.0 ppb) within the ±2° (±5°) boxes, and over ocean, the average bias was 4.1 ppb (6.5 ppb) with a standard deviation of 9.4 ppb (8.8 ppb) within the ±2° (±5°) boxes. In addition, we obtained similar results when we used an aircraft-based XCH4time series obtained by curve fitting with temporal interpolation for comparison with GOSAT data.

Original languageEnglish
Pages (from-to)2987-3005
Number of pages19
JournalAtmospheric Measurement Techniques
Issue number9
Publication statusPublished - Sept 17 2014

ASJC Scopus subject areas

  • Atmospheric Science


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