Articles | Volume 9, issue 5
https://doi.org/10.5194/amt-9-1961-2016
© Author(s) 2016. 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-9-1961-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
03 May 2016
Research article |
| 03 May 2016
Methane cross-validation between three Fourier transform spectrometers: SCISAT ACE-FTS, GOSAT TANSO-FTS, and ground-based FTS measurements in the Canadian high Arctic
Gerrit Holl
Department of Physics, University of Toronto, Toronto, ON, Canada
now at: Department of Meteorology, University of Reading, Reading, UK
Department of Physics, University of Toronto, Toronto, ON, Canada
Stephanie Conway
Department of Physics, University of Toronto, Toronto, ON, Canada
Naoko Saitoh
Center for Environmental Remote Sensing, Chiba University, Chiba, Japan
Chris D. Boone
Department of Chemistry, University of Waterloo, Waterloo, ON, Canada
Kimberly Strong
Department of Physics, University of Toronto, Toronto, ON, Canada
James R. Drummond
Department of Physics and Atmospheric Science, Dalhousie University, Halifax, NS, Canada
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Cited
14 citations as recorded by crossref.
- Using Different Spectroscopic Databases to Model the Transfer of Radiation in the Near-IR Range and Retrieve the Content of Methane in the Atmosphere T. Chesnokova et al. 10.1134/S0036024424050091
- 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
- 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
- Multi-year comparisons of ground-based and space-borne Fourier transform spectrometers in the high Arctic between 2006 and 2013 D. Griffin et al. 10.5194/amt-10-3273-2017
- Comparison of the GOSAT TANSO-FTS TIR CH<sub>4</sub> volume mixing ratio vertical profiles with those measured by ACE-FTS, ESA MIPAS, IMK-IAA MIPAS, and 16 NDACC stations K. Olsen et al. 10.5194/amt-10-3697-2017
- Spectral Fingerprinting of Methane from Hyper-Spectral Sounder Measurements Using Machine Learning and Radiative Kernel-Based Inversion W. Wu et al. 10.3390/rs16030578
- 大气水汽稳定同位素: 特征、机制与前景 白. 尚 et al. 10.1360/N072023-0271
- Methane profiles from GOSAT thermal infrared spectra A. de Lange & J. Landgraf 10.5194/amt-11-3815-2018
- Estimation of the impact of differences in the CH4 absorption line parameters on the accuracy of methane atmospheric total column retrievals from ground-based FTIR spectra T. Chesnokova et al. 10.1016/j.jqsrt.2020.107187
- CH4 Fluxes Derived from Assimilation of TROPOMI XCH4 in CarbonTracker Europe-CH4: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes A. Tsuruta et al. 10.3390/rs15061620
- Trends in atmospheric composition between 2004–2023 using version 5 ACE-FTS data M. Schmidt et al. 10.1016/j.jqsrt.2024.109088
- Comparison of ozone profiles from DIAL, MLS, and chemical transport model simulations over Río Gallegos, Argentina, during the spring Antarctic vortex breakup, 2009 T. Sugita et al. 10.5194/amt-10-4947-2017
- Stable isotopes in atmospheric water vapour: Patterns, mechanisms and perspectives B. Shang et al. 10.1007/s11430-023-1410-6
- A simple and quick sensitivity analysis method for methane isotopologues detection with GOSAT-TANSO-FTS E. Malina et al. 10.14324/111.444/ucloe.000013
14 citations as recorded by crossref.
- Using Different Spectroscopic Databases to Model the Transfer of Radiation in the Near-IR Range and Retrieve the Content of Methane in the Atmosphere T. Chesnokova et al. 10.1134/S0036024424050091
- 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
- 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
- Multi-year comparisons of ground-based and space-borne Fourier transform spectrometers in the high Arctic between 2006 and 2013 D. Griffin et al. 10.5194/amt-10-3273-2017
- Comparison of the GOSAT TANSO-FTS TIR CH<sub>4</sub> volume mixing ratio vertical profiles with those measured by ACE-FTS, ESA MIPAS, IMK-IAA MIPAS, and 16 NDACC stations K. Olsen et al. 10.5194/amt-10-3697-2017
- Spectral Fingerprinting of Methane from Hyper-Spectral Sounder Measurements Using Machine Learning and Radiative Kernel-Based Inversion W. Wu et al. 10.3390/rs16030578
- 大气水汽稳定同位素: 特征、机制与前景 白. 尚 et al. 10.1360/N072023-0271
- Methane profiles from GOSAT thermal infrared spectra A. de Lange & J. Landgraf 10.5194/amt-11-3815-2018
- Estimation of the impact of differences in the CH4 absorption line parameters on the accuracy of methane atmospheric total column retrievals from ground-based FTIR spectra T. Chesnokova et al. 10.1016/j.jqsrt.2020.107187
- CH4 Fluxes Derived from Assimilation of TROPOMI XCH4 in CarbonTracker Europe-CH4: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes A. Tsuruta et al. 10.3390/rs15061620
- Trends in atmospheric composition between 2004–2023 using version 5 ACE-FTS data M. Schmidt et al. 10.1016/j.jqsrt.2024.109088
- Comparison of ozone profiles from DIAL, MLS, and chemical transport model simulations over Río Gallegos, Argentina, during the spring Antarctic vortex breakup, 2009 T. Sugita et al. 10.5194/amt-10-4947-2017
- Stable isotopes in atmospheric water vapour: Patterns, mechanisms and perspectives B. Shang et al. 10.1007/s11430-023-1410-6
- A simple and quick sensitivity analysis method for methane isotopologues detection with GOSAT-TANSO-FTS E. Malina et al. 10.14324/111.444/ucloe.000013
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Latest update: 24 Dec 2024
Short summary
Methane is a powerful greenhouse gas, and we need to measure it globally with satellite instruments. We compare measurements from two satellites with measurements from the ground in Eureka, Nunavut, Canada to assess their different strengths and weaknesses. The differences between measurements are discussed and assessed considering the details of each measurement technique and processing. Recommendations are provided for utilization of these data sets for monitoring methane in the high Arctic.
Methane is a powerful greenhouse gas, and we need to measure it globally with satellite...
