Articles | Volume 10, issue 10
https://doi.org/10.5194/amt-10-3697-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-10-3697-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Oct 2017
Research article |
| 09 Oct 2017
Comparison of the GOSAT TANSO-FTS TIR CH4 volume mixing ratio vertical profiles with those measured by ACE-FTS, ESA MIPAS, IMK-IAA MIPAS, and 16 NDACC stations
Kevin S. Olsen
CORRESPONDING AUTHOR
Department of Physics, University of Toronto,
Toronto, Ontario, Canada
Kimberly Strong
Department of Physics, University of Toronto,
Toronto, Ontario, Canada
Kaley A. Walker
Department of Physics, University of Toronto,
Toronto, Ontario, Canada
Department of Chemistry, University of Waterloo, Waterloo, Ontario, Canada
Chris D. Boone
Department of Chemistry, University of Waterloo, Waterloo, Ontario, Canada
Piera Raspollini
Istituto di Fisica Applicata “N. Carrara” (IFAC) del Consiglio Nazionale delle Ricerche (CNR), Florence, Italy
Johannes Plieninger
Institut für Meteorologie und Klimaforschung, Karlsruhe Institute of Technology, Karlsruhe, Germany
Whitney Bader
Department of Physics, University of Toronto,
Toronto, Ontario, Canada
Institute of Astrophysics and Geophysics, University of Liège, Liège, Belgium
Stephanie Conway
Department of Physics, University of Toronto,
Toronto, Ontario, Canada
Michel Grutter
Centro de Ciencias de la Atmósfera, Universidad Nacional Autónoma de México, Mexico City, Mexico
James W. Hannigan
Atmospheric Chemistry Division, National Center for Atmospheric Research, Boulder, CO, USA
Frank Hase
Institut für Meteorologie und Klimaforschung, Karlsruhe Institute of Technology, Karlsruhe, Germany
Nicholas Jones
Centre for Atmospheric Chemistry, University of Wollongong, Wollongong, Australia
Martine de Mazière
Belgisch Instituut voor Ruimte-Aëronomie-Institut d'Aéronomie Spatiale de Belgique (IASB-BIRA), Brussels, Belgium
Justus Notholt
Institute for Environmental Physics, University of Bremen, Bremen, Germany
Matthias Schneider
Institut für Meteorologie und Klimaforschung, Karlsruhe Institute of Technology, Karlsruhe, Germany
Dan Smale
National Institute of Water and Atmospheric Research Ltd (NIWA), Lauder, New Zealand
Ralf Sussmann
Institut für Meteorologie und Klimaforschung, Karlsruhe Institute of Technology, Karlsruhe, Germany
Naoko Saitoh
Center for Environmental Remote Sensing, Chiba University, Chiba, Japan
Viewed
Total article views: 3,769 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Mar 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,412 | 1,246 | 111 | 3,769 | 119 | 127 |
- HTML: 2,412
- PDF: 1,246
- XML: 111
- Total: 3,769
- BibTeX: 119
- EndNote: 127
Total article views: 2,818 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 09 Oct 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,780 | 956 | 82 | 2,818 | 107 | 98 |
- HTML: 1,780
- PDF: 956
- XML: 82
- Total: 2,818
- BibTeX: 107
- EndNote: 98
Total article views: 951 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Mar 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 632 | 290 | 29 | 951 | 12 | 29 |
- HTML: 632
- PDF: 290
- XML: 29
- Total: 951
- BibTeX: 12
- EndNote: 29
Viewed (geographical distribution)
Total article views: 3,769 (including HTML, PDF, and XML)
Thereof 3,682 with geography defined
and 87 with unknown origin.
Total article views: 2,818 (including HTML, PDF, and XML)
Thereof 2,744 with geography defined
and 74 with unknown origin.
Total article views: 951 (including HTML, PDF, and XML)
Thereof 938 with geography defined
and 13 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
10 citations as recorded by crossref.
- Characterizing model errors in chemical transport modeling of methane: impact of model resolution in versions v9-02 of GEOS-Chem and v35j of its adjoint model I. Stanevich et al. 10.5194/gmd-13-3839-2020
- Characterizing model errors in chemical transport modeling of methane: using GOSAT XCH<sub>4</sub> data with weak-constraint four-dimensional variational data assimilation I. Stanevich et al. 10.5194/acp-21-9545-2021
- Intercomparison of CO measurements from TROPOMI, ACE-FTS, and a high-Arctic ground-based Fourier transform spectrometer T. Wizenberg et al. 10.5194/amt-14-7707-2021
- Overview and update of the SPARC Data Initiative: comparison of stratospheric composition measurements from satellite limb sounders M. Hegglin et al. 10.5194/essd-13-1855-2021
- Network for the Detection of Atmospheric Composition Change (NDACC) Fourier transform infrared (FTIR) trace gas measurements at the University of Toronto Atmospheric Observatory from 2002 to 2020 S. Yamanouchi et al. 10.5194/essd-15-3387-2023
- Validation of methane and carbon monoxide from Sentinel-5 Precursor using TCCON and NDACC-IRWG stations M. Sha et al. 10.5194/amt-14-6249-2021
- Validation of GOSAT and OCO-2 against In Situ Aircraft Measurements and Comparison with CarbonTracker and GEOS-Chem over Qinhuangdao, China F. Mustafa et al. 10.3390/rs13050899
- GOSAT CH4 Vertical Profiles over the Indian Subcontinent: Effect of a Priori and Averaging Kernels for Climate Applications D. Belikov et al. 10.3390/rs13091677
- Global Atmospheric OCS Trend Analysis From 22 NDACC Stations J. Hannigan et al. 10.1029/2021JD035764
- Spatiotemporal analysis of atmospheric methane concentrations and key influencing factors using machine learning in the Middle East (2010–2021) S. Mousavi 10.1016/j.rsase.2024.101406
10 citations as recorded by crossref.
- Characterizing model errors in chemical transport modeling of methane: impact of model resolution in versions v9-02 of GEOS-Chem and v35j of its adjoint model I. Stanevich et al. 10.5194/gmd-13-3839-2020
- Characterizing model errors in chemical transport modeling of methane: using GOSAT XCH<sub>4</sub> data with weak-constraint four-dimensional variational data assimilation I. Stanevich et al. 10.5194/acp-21-9545-2021
- Intercomparison of CO measurements from TROPOMI, ACE-FTS, and a high-Arctic ground-based Fourier transform spectrometer T. Wizenberg et al. 10.5194/amt-14-7707-2021
- Overview and update of the SPARC Data Initiative: comparison of stratospheric composition measurements from satellite limb sounders M. Hegglin et al. 10.5194/essd-13-1855-2021
- Network for the Detection of Atmospheric Composition Change (NDACC) Fourier transform infrared (FTIR) trace gas measurements at the University of Toronto Atmospheric Observatory from 2002 to 2020 S. Yamanouchi et al. 10.5194/essd-15-3387-2023
- Validation of methane and carbon monoxide from Sentinel-5 Precursor using TCCON and NDACC-IRWG stations M. Sha et al. 10.5194/amt-14-6249-2021
- Validation of GOSAT and OCO-2 against In Situ Aircraft Measurements and Comparison with CarbonTracker and GEOS-Chem over Qinhuangdao, China F. Mustafa et al. 10.3390/rs13050899
- GOSAT CH4 Vertical Profiles over the Indian Subcontinent: Effect of a Priori and Averaging Kernels for Climate Applications D. Belikov et al. 10.3390/rs13091677
- Global Atmospheric OCS Trend Analysis From 22 NDACC Stations J. Hannigan et al. 10.1029/2021JD035764
- Spatiotemporal analysis of atmospheric methane concentrations and key influencing factors using machine learning in the Middle East (2010–2021) S. Mousavi 10.1016/j.rsase.2024.101406
Saved (final revised paper)
Latest update: 24 Dec 2024
Short summary
The primary instrument on the Greenhouse gases Observing SATellite (GOSAT) is the Thermal And Near infrared Sensor for carbon Observations (TANSO) Fourier transform spectrometer (FTS). TANSO-FTS has a thermal infrared channel to retrieve vertical profiles of CO2 and CH4 volume mixing ratios in the troposphere. We compare the retrieved vertical profiles of CH4 from TANSO-FTS with those from two other spaceborne FTSs and with ground-based FTS observatories to assess their quality.
The primary instrument on the Greenhouse gases Observing SATellite (GOSAT) is the Thermal And...
