Validation of XCH<sub>4</sub> derived from SWIR spectra of GOSAT TANSO-FTS with aircraft measurement data
Column-averaged dry-air mole fractions of methane (XCH<sub>4</sub>), 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), th...
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Copernicus Publications
2014-09-01
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Series: | Atmospheric Measurement Techniques |
Online Access: | http://www.atmos-meas-tech.net/7/2987/2014/amt-7-2987-2014.pdf |
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author | 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 |
author_facet | 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 |
author_sort | M. Inoue |
collection | DOAJ |
description | Column-averaged dry-air mole fractions of methane (XCH<sub>4</sub>), 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
XCH<sub>4</sub> from aircraft measurements (aircraft-based XCH<sub>4</sub>), other
satellite data were used for the CH<sub>4</sub> profiles above the tropopause. We
proposed a data-screening scheme for aircraft-based XCH<sub>4</sub> for reliable
validation of GOSAT XCH<sub>4</sub>. Further, we examined the impact of GOSAT SWIR
column averaging kernels (CAK) on the aircraft-based XCH<sub>4</sub> calculation
and found that the difference between aircraft-based XCH<sub>4</sub> with and
without the application of the GOSAT CAK was less than ±9 ppb at
maximum, with an average difference of −0.5 ppb.
<br><br>
We compared GOSAT XCH<sub>4</sub> Ver. 02.00 data retrieved within ±2° or ±5° latitude–longitude boxes centered at
each aircraft measurement site with aircraft-based XCH<sub>4</sub> measured on a
GOSAT overpass day. In general, GOSAT XCH<sub>4</sub> was in good agreement with
aircraft-based XCH<sub>4</sub>. 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 XCH<sub>4</sub> time series obtained by curve fitting with
temporal interpolation for comparison with GOSAT data. |
first_indexed | 2024-12-22T12:13:32Z |
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id | doaj.art-5946858f3b9c46f498d7b5db6ab698ff |
institution | Directory Open Access Journal |
issn | 1867-1381 1867-8548 |
language | English |
last_indexed | 2024-12-22T12:13:32Z |
publishDate | 2014-09-01 |
publisher | Copernicus Publications |
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series | Atmospheric Measurement Techniques |
spelling | doaj.art-5946858f3b9c46f498d7b5db6ab698ff2022-12-21T18:26:14ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482014-09-01792987300510.5194/amt-7-2987-2014Validation of XCH<sub>4</sub> derived from SWIR spectra of GOSAT TANSO-FTS with aircraft measurement dataM. Inoue0I. Morino1O. Uchino2Y. Miyamoto3T. Saeki4Y. Yoshida5T. Yokota6C. Sweeney7P. P. Tans8S. C. Biraud9T. Machida10J. V. Pittman11E. A. Kort12T. Tanaka13S. Kawakami14Y. Sawa15K. Tsuboi16H. Matsueda17National Institute for Environmental Studies (NIES), Tsukuba, JapanNational Institute for Environmental Studies (NIES), Tsukuba, JapanNational Institute for Environmental Studies (NIES), Tsukuba, JapanGraduate School of Natural Science and Technology, Okayama University, Okayama, JapanNational Institute for Environmental Studies (NIES), Tsukuba, JapanNational Institute for Environmental Studies (NIES), Tsukuba, JapanNational Institute for Environmental Studies (NIES), Tsukuba, JapanNational Oceanic and Atmospheric Administration (NOAA), Boulder, CO, USANational Oceanic and Atmospheric Administration (NOAA), Boulder, CO, USALawrence Berkeley National Laboratory (LBNL), Berkeley, CA, USANational Institute for Environmental Studies (NIES), Tsukuba, JapanDepartment of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USAJet Propulsion Laboratory/California Institute of Technology, Pasadena, CA, USANational Institute for Environmental Studies (NIES), Tsukuba, JapanJapan Aerospace Exploration Agency (JAXA), Tsukuba, JapanMeteorological Research Institute (MRI), Tsukuba, JapanMeteorological Research Institute (MRI), Tsukuba, JapanMeteorological Research Institute (MRI), Tsukuba, JapanColumn-averaged dry-air mole fractions of methane (XCH<sub>4</sub>), 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 XCH<sub>4</sub> from aircraft measurements (aircraft-based XCH<sub>4</sub>), other satellite data were used for the CH<sub>4</sub> profiles above the tropopause. We proposed a data-screening scheme for aircraft-based XCH<sub>4</sub> for reliable validation of GOSAT XCH<sub>4</sub>. Further, we examined the impact of GOSAT SWIR column averaging kernels (CAK) on the aircraft-based XCH<sub>4</sub> calculation and found that the difference between aircraft-based XCH<sub>4</sub> with and without the application of the GOSAT CAK was less than ±9 ppb at maximum, with an average difference of −0.5 ppb. <br><br> We compared GOSAT XCH<sub>4</sub> Ver. 02.00 data retrieved within ±2° or ±5° latitude–longitude boxes centered at each aircraft measurement site with aircraft-based XCH<sub>4</sub> measured on a GOSAT overpass day. In general, GOSAT XCH<sub>4</sub> was in good agreement with aircraft-based XCH<sub>4</sub>. 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 XCH<sub>4</sub> time series obtained by curve fitting with temporal interpolation for comparison with GOSAT data.http://www.atmos-meas-tech.net/7/2987/2014/amt-7-2987-2014.pdf |
spellingShingle | 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 Validation of XCH<sub>4</sub> derived from SWIR spectra of GOSAT TANSO-FTS with aircraft measurement data Atmospheric Measurement Techniques |
title | Validation of XCH<sub>4</sub> derived from SWIR spectra of GOSAT TANSO-FTS with aircraft measurement data |
title_full | Validation of XCH<sub>4</sub> derived from SWIR spectra of GOSAT TANSO-FTS with aircraft measurement data |
title_fullStr | Validation of XCH<sub>4</sub> derived from SWIR spectra of GOSAT TANSO-FTS with aircraft measurement data |
title_full_unstemmed | Validation of XCH<sub>4</sub> derived from SWIR spectra of GOSAT TANSO-FTS with aircraft measurement data |
title_short | Validation of XCH<sub>4</sub> derived from SWIR spectra of GOSAT TANSO-FTS with aircraft measurement data |
title_sort | validation of xch sub 4 sub derived from swir spectra of gosat tanso fts with aircraft measurement data |
url | http://www.atmos-meas-tech.net/7/2987/2014/amt-7-2987-2014.pdf |
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