Articles | Volume 9, issue 8
https://doi.org/10.5194/amt-9-3491-2016
© 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-9-3491-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Bias corrections of GOSAT SWIR XCO2 and XCH4 with TCCON data and their evaluation using aircraft measurement data
National Institute for Environmental Studies (NIES),
Tsukuba, Japan
now at: Department of Biological Environment, Akita
Prefectural University, Akita, Japan
Isamu Morino
National Institute for Environmental Studies (NIES),
Tsukuba, Japan
Osamu Uchino
National Institute for Environmental Studies (NIES),
Tsukuba, Japan
Takahiro Nakatsuru
National Institute for Environmental Studies (NIES),
Tsukuba, Japan
Yukio Yoshida
National Institute for Environmental Studies (NIES),
Tsukuba, Japan
Tatsuya Yokota
National Institute for Environmental Studies (NIES),
Tsukuba, Japan
Debra Wunch
California Institute for Technology, Pasadena, CA,
USA
now at: Department of Physics, University of Toronto, Toronto, Canada
Paul O. Wennberg
California Institute for Technology, Pasadena, CA,
USA
Coleen M. Roehl
California Institute for Technology, Pasadena, CA,
USA
David W. T. Griffith
Centre for Atmospheric Chemistry, University of
Wollongong, New South Wales, Australia
Voltaire A. Velazco
Centre for Atmospheric Chemistry, University of
Wollongong, New South Wales, Australia
Nicholas M. Deutscher
Centre for Atmospheric Chemistry, University of
Wollongong, New South Wales, Australia
Institute of Environmental Physics, University of Bremen,
Bremen, Germany
Thorsten Warneke
Institute of Environmental Physics, University of Bremen,
Bremen, Germany
Justus Notholt
Institute of Environmental Physics, University of Bremen,
Bremen, Germany
John Robinson
National Institute of Water and Atmospheric Research,
Lauder, New Zealand
Vanessa Sherlock
National Institute of Water and Atmospheric Research,
Lauder, New Zealand
now at: Laboratoire de Météorologie Dynamique,
Palaiseau, France
Frank Hase
IMK-ASF, Karlsruhe Institute of Technology, Karlsruhe,
Germany
Thomas Blumenstock
IMK-ASF, Karlsruhe Institute of Technology, Karlsruhe,
Germany
Markus Rettinger
IMK-IFU, Karlsruhe Institute of Technology,
Garmisch-Partenkirchen, Germany
Ralf Sussmann
IMK-IFU, Karlsruhe Institute of Technology,
Garmisch-Partenkirchen, Germany
Esko Kyrö
Arctic Research Centre, Finnish Meteorological Institute
(FMI), Sodankylä, Finland
Rigel Kivi
Arctic Research Centre, Finnish Meteorological Institute
(FMI), Sodankylä, Finland
Kei Shiomi
Japan Aerospace Exploration Agency (JAXA), Tsukuba,
Japan
Shuji Kawakami
Japan Aerospace Exploration Agency (JAXA), Tsukuba,
Japan
Martine De Mazière
Belgian Institute for Space Aeronomy (IASB-BIRA),
Brussels, Belgium
Sabrina G. Arnold
Max Planck Institute for Biogeochemistry (MPI-BGC), Jena,
Germany
Dietrich G. Feist
Max Planck Institute for Biogeochemistry (MPI-BGC), Jena,
Germany
Erica A. Barrow
Ivy Tech Community College of Indiana, Indianapolis, IN,
USA
James Barney
Ivy Tech Community College of Indiana, Indianapolis, IN,
USA
Manvendra Dubey
Los Alamos National Laboratory, Los Alamos, NM,
USA
Matthias Schneider
IMK-ASF, Karlsruhe Institute of Technology, Karlsruhe,
Germany
Laura T. Iraci
NASA Ames Research Center, Moffett Field, CA,
USA
James R. Podolske
NASA Ames Research Center, Moffett Field, CA,
USA
Patrick W. Hillyard
NASA Ames Research Center, Moffett Field, CA,
USA
Bay Area Environmental Research Institute, Petaluma, CA,
USA
Toshinobu Machida
National Institute for Environmental Studies (NIES),
Tsukuba, Japan
Yousuke Sawa
Meteorological Research Institute (MRI), Tsukuba,
Japan
Kazuhiro Tsuboi
Meteorological Research Institute (MRI), Tsukuba,
Japan
Hidekazu Matsueda
Meteorological Research Institute (MRI), Tsukuba,
Japan
Colm Sweeney
National Oceanic and Atmospheric Administration (NOAA),
Boulder, CO, USA
Pieter P. Tans
National Oceanic and Atmospheric Administration (NOAA),
Boulder, CO, USA
Arlyn E. Andrews
National Oceanic and Atmospheric Administration (NOAA),
Boulder, CO, USA
Sebastien C. Biraud
Lawrence Berkeley National Laboratory (LBNL), Berkeley,
CA, USA
Yukio Fukuyama
Japan Meteorological Agency, Tokyo, Japan
Jasna V. Pittman
Department of Earth and Planetary Sciences, Harvard
University, Cambridge, MA, USA
Eric A. Kort
Jet Propulsion Laboratory, Pasadena, CA,
USA
California Institute for Technology, Pasadena, CA,
USA
now at: Department of Atmospheric, Oceanic and Space
Sciences, University of Michigan, Ann Arbor, MI, USA
Tomoaki Tanaka
National Institute for Environmental Studies (NIES),
Tsukuba, Japan
Japan Aerospace Exploration Agency (JAXA), Tsukuba,
Japan
now at: NASA Ames Research Center, Moffett Field, CA,
USA
Viewed
Total article views: 9,024 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Jan 2016)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
5,423 | 3,026 | 575 | 9,024 | 347 | 355 |
- HTML: 5,423
- PDF: 3,026
- XML: 575
- Total: 9,024
- BibTeX: 347
- EndNote: 355
Total article views: 7,789 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Aug 2016)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
4,741 | 2,489 | 559 | 7,789 | 329 | 334 |
- HTML: 4,741
- PDF: 2,489
- XML: 559
- Total: 7,789
- BibTeX: 329
- EndNote: 334
Total article views: 1,235 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Jan 2016)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
682 | 537 | 16 | 1,235 | 18 | 21 |
- HTML: 682
- PDF: 537
- XML: 16
- Total: 1,235
- BibTeX: 18
- EndNote: 21
Cited
43 citations as recorded by crossref.
- Observation of column-averaged molar mixing ratios of carbon dioxide in Tokyo X. Qin et al. 10.1016/j.aeaoa.2019.100022
- The Adaptable 4A Inversion (5AI): description and first <i>X</i><sub>CO<sub>2</sub></sub> retrievals from Orbiting Carbon Observatory-2 (OCO-2) observations M. Dogniaux et al. 10.5194/amt-14-4689-2021
- Inter-annual variability of summertime CO 2 exchange in Northern Eurasia inferred from GOSAT XCO 2 M. Ishizawa et al. 10.1088/1748-9326/11/10/105001
- 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
- First TanSat CO2 retrieval over land and ocean using both nadir and glint spectroscopy X. Hong et al. 10.1016/j.rse.2024.114053
- Evaluation of column-averaged methane in models and TCCON with a focus on the stratosphere A. Ostler et al. 10.5194/amt-9-4843-2016
- Evaluation of Bias Correction Methods for GOSAT SWIR XH2O Using TCCON data T. Trieu et al. 10.3390/rs11030290
- Spatial and Temporal Variations of Atmospheric CO2 Concentration in China and Its Influencing Factors Z. Lv et al. 10.3390/atmos11030231
- The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
- Influences of aerosols and thin cirrus clouds on GOSAT XCO2 and XCH4 using Total Carbon Column Observing Network, sky radiometer, and lidar data T. Trieu et al. 10.1080/01431161.2022.2038395
- Comparative Evaluation of Top-Down GOSAT XCO2 vs. Bottom-Up National Reports in the European Countries Y. Hwang et al. 10.3390/su13126700
- Fiducial Reference Measurement for Greenhouse Gases (FRM4GHG) M. Sha et al. 10.3390/rs16183525
- Evaluation of MOPITT Version 7 joint TIR–NIR X<sub>CO</sub> retrievals with TCCON J. Hedelius et al. 10.5194/amt-12-5547-2019
- A study of synthetic <sup>13</sup>CH<sub>4</sub> retrievals from TROPOMI and Sentinel-5/UVNS E. Malina et al. 10.5194/amt-12-6273-2019
- CH4 concentrations over the Amazon from GOSAT consistent with in situ vertical profile data A. Webb et al. 10.1002/2016JD025263
- Identification of Bias in Satellite Measurements Using its Geospatial Properties J. Tadic & S. Biraud 10.1109/LGRS.2020.3015174
- Methane retrieved from TROPOMI: improvement of the data product and validation of the first 2 years of measurements A. Lorente et al. 10.5194/amt-14-665-2021
- Extending methane profiles from aircraft into the stratosphere for satellite total column validation using the ECMWF C-IFS and TOMCAT/SLIMCAT 3-D model S. Verma et al. 10.5194/acp-17-6663-2017
- Mapping the CO2 total column retrieval performance from shortwave infrared measurements: synthetic impacts of the spectral resolution, signal-to-noise ratio, and spectral band selection M. Dogniaux & C. Crevoisier 10.5194/amt-17-5373-2024
- Greenhouse gases Observing SATellite 2 (GOSAT-2): mission overview R. Imasu et al. 10.1186/s40645-023-00562-2
- Quality Evaluation of the Column-Averaged Dry Air Mole Fractions of Carbon Dioxide and Methane Observed by GOSAT and GOSAT-2 Y. Yoshida et al. 10.2151/sola.2023-023
- Testing and evaluation of a new airborne system for continuous N<sub>2</sub>O, CO<sub>2</sub>, CO, and H<sub>2</sub>O measurements: the Frequent Calibration High-performance Airborne Observation System (FCHAOS) A. Gvakharia et al. 10.5194/amt-11-6059-2018
- Numerical analysis of CH4 concentration distributions over East Asia with a regional chemical transport model L. Qin et al. 10.1016/j.atmosenv.2023.120207
- Modelling CO<sub>2</sub> weather – why horizontal resolution matters A. Agustí-Panareda et al. 10.5194/acp-19-7347-2019
- Gradients of column CO<sub>2</sub> across North America from the NOAA Global Greenhouse Gas Reference Network X. Lan et al. 10.5194/acp-17-15151-2017
- Assimilation of GOSAT Methane in the Hemispheric CMAQ; Part I: Design of the Assimilation System S. Voshtani et al. 10.3390/rs14020371
- A new algorithm to generate a priori trace gas profiles for the GGG2020 retrieval algorithm J. Laughner et al. 10.5194/amt-16-1121-2023
- Monitoring Greenhouse Gases from Space H. Boesch et al. 10.3390/rs13142700
- Intercomparison of low- and high-resolution infrared spectrometers for ground-based solar remote sensing measurements of total column concentrations of CO<sub>2</sub>, CH<sub>4</sub>, and CO M. Sha et al. 10.5194/amt-13-4791-2020
- Comparison of XCH4 Derived from g-b FTS and GOSAT and Evaluation Using Aircraft In-Situ Observations over TCCON Site S. Kenea et al. 10.1007/s13143-019-00105-0
- A decade of GOSAT Proxy satellite CH<sub>4</sub> observations R. Parker et al. 10.5194/essd-12-3383-2020
- Independent Bias Correction Method for Satellite Observation Data Introduced to CO<sub>2</sub> Flux Inversion T. Maki et al. 10.2151/sola.2023-021
- Spatial-temporal variation in XCH4 during 2009–2021 and its driving factors across the land of the Northern Hemisphere X. Cao et al. 10.1016/j.atmosres.2023.106811
- Bias Correction of the Ratio of Total Column CH4 to CO2 Retrieved from GOSAT Spectra H. Oshio et al. 10.3390/rs12193155
- Long-term column-averaged greenhouse gas observations using a COCCON spectrometer at the high-surface-albedo site in Gobabeb, Namibia M. Frey et al. 10.5194/amt-14-5887-2021
- Study on the Ground-Based FTS Measurements at Beijing, China and the Colocation Sensitivity of Satellite Data S. Yang et al. 10.3390/atmos12121586
- Greenhouse gas column observations from a portable spectrometer in Uganda N. Humpage et al. 10.5194/amt-17-5679-2024
- An Approach to Estimate Atmospheric Greenhouse Gas Total Columns Mole Fraction from Partial Column Sampling J. Tadić & S. Biraud 10.3390/atmos9070247
- XCO<sub>2</sub> retrieval for GOSAT and GOSAT-2 based on the FOCAL algorithm S. Noël et al. 10.5194/amt-14-3837-2021
- Study of Atmospheric Carbon Dioxide Retrieval Method Based on Normalized Sensitivity L. Zhao et al. 10.3390/rs14051106
- Observational constraints reduce model spread but not uncertainty in global wetland methane emission estimates K. Chang et al. 10.1111/gcb.16755
- Addition of a channel for XCO observations to a portable FTIR spectrometer for greenhouse gas measurements F. Hase et al. 10.5194/amt-9-2303-2016
- Fourier transform spectrometer measurements of column CO<sub>2</sub> at Sodankylä, Finland R. Kivi & P. Heikkinen 10.5194/gi-5-271-2016
41 citations as recorded by crossref.
- Observation of column-averaged molar mixing ratios of carbon dioxide in Tokyo X. Qin et al. 10.1016/j.aeaoa.2019.100022
- The Adaptable 4A Inversion (5AI): description and first <i>X</i><sub>CO<sub>2</sub></sub> retrievals from Orbiting Carbon Observatory-2 (OCO-2) observations M. Dogniaux et al. 10.5194/amt-14-4689-2021
- Inter-annual variability of summertime CO 2 exchange in Northern Eurasia inferred from GOSAT XCO 2 M. Ishizawa et al. 10.1088/1748-9326/11/10/105001
- 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
- First TanSat CO2 retrieval over land and ocean using both nadir and glint spectroscopy X. Hong et al. 10.1016/j.rse.2024.114053
- Evaluation of column-averaged methane in models and TCCON with a focus on the stratosphere A. Ostler et al. 10.5194/amt-9-4843-2016
- Evaluation of Bias Correction Methods for GOSAT SWIR XH2O Using TCCON data T. Trieu et al. 10.3390/rs11030290
- Spatial and Temporal Variations of Atmospheric CO2 Concentration in China and Its Influencing Factors Z. Lv et al. 10.3390/atmos11030231
- The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
- Influences of aerosols and thin cirrus clouds on GOSAT XCO2 and XCH4 using Total Carbon Column Observing Network, sky radiometer, and lidar data T. Trieu et al. 10.1080/01431161.2022.2038395
- Comparative Evaluation of Top-Down GOSAT XCO2 vs. Bottom-Up National Reports in the European Countries Y. Hwang et al. 10.3390/su13126700
- Fiducial Reference Measurement for Greenhouse Gases (FRM4GHG) M. Sha et al. 10.3390/rs16183525
- Evaluation of MOPITT Version 7 joint TIR–NIR X<sub>CO</sub> retrievals with TCCON J. Hedelius et al. 10.5194/amt-12-5547-2019
- A study of synthetic <sup>13</sup>CH<sub>4</sub> retrievals from TROPOMI and Sentinel-5/UVNS E. Malina et al. 10.5194/amt-12-6273-2019
- CH4 concentrations over the Amazon from GOSAT consistent with in situ vertical profile data A. Webb et al. 10.1002/2016JD025263
- Identification of Bias in Satellite Measurements Using its Geospatial Properties J. Tadic & S. Biraud 10.1109/LGRS.2020.3015174
- Methane retrieved from TROPOMI: improvement of the data product and validation of the first 2 years of measurements A. Lorente et al. 10.5194/amt-14-665-2021
- Extending methane profiles from aircraft into the stratosphere for satellite total column validation using the ECMWF C-IFS and TOMCAT/SLIMCAT 3-D model S. Verma et al. 10.5194/acp-17-6663-2017
- Mapping the CO2 total column retrieval performance from shortwave infrared measurements: synthetic impacts of the spectral resolution, signal-to-noise ratio, and spectral band selection M. Dogniaux & C. Crevoisier 10.5194/amt-17-5373-2024
- Greenhouse gases Observing SATellite 2 (GOSAT-2): mission overview R. Imasu et al. 10.1186/s40645-023-00562-2
- Quality Evaluation of the Column-Averaged Dry Air Mole Fractions of Carbon Dioxide and Methane Observed by GOSAT and GOSAT-2 Y. Yoshida et al. 10.2151/sola.2023-023
- Testing and evaluation of a new airborne system for continuous N<sub>2</sub>O, CO<sub>2</sub>, CO, and H<sub>2</sub>O measurements: the Frequent Calibration High-performance Airborne Observation System (FCHAOS) A. Gvakharia et al. 10.5194/amt-11-6059-2018
- Numerical analysis of CH4 concentration distributions over East Asia with a regional chemical transport model L. Qin et al. 10.1016/j.atmosenv.2023.120207
- Modelling CO<sub>2</sub> weather – why horizontal resolution matters A. Agustí-Panareda et al. 10.5194/acp-19-7347-2019
- Gradients of column CO<sub>2</sub> across North America from the NOAA Global Greenhouse Gas Reference Network X. Lan et al. 10.5194/acp-17-15151-2017
- Assimilation of GOSAT Methane in the Hemispheric CMAQ; Part I: Design of the Assimilation System S. Voshtani et al. 10.3390/rs14020371
- A new algorithm to generate a priori trace gas profiles for the GGG2020 retrieval algorithm J. Laughner et al. 10.5194/amt-16-1121-2023
- Monitoring Greenhouse Gases from Space H. Boesch et al. 10.3390/rs13142700
- Intercomparison of low- and high-resolution infrared spectrometers for ground-based solar remote sensing measurements of total column concentrations of CO<sub>2</sub>, CH<sub>4</sub>, and CO M. Sha et al. 10.5194/amt-13-4791-2020
- Comparison of XCH4 Derived from g-b FTS and GOSAT and Evaluation Using Aircraft In-Situ Observations over TCCON Site S. Kenea et al. 10.1007/s13143-019-00105-0
- A decade of GOSAT Proxy satellite CH<sub>4</sub> observations R. Parker et al. 10.5194/essd-12-3383-2020
- Independent Bias Correction Method for Satellite Observation Data Introduced to CO<sub>2</sub> Flux Inversion T. Maki et al. 10.2151/sola.2023-021
- Spatial-temporal variation in XCH4 during 2009–2021 and its driving factors across the land of the Northern Hemisphere X. Cao et al. 10.1016/j.atmosres.2023.106811
- Bias Correction of the Ratio of Total Column CH4 to CO2 Retrieved from GOSAT Spectra H. Oshio et al. 10.3390/rs12193155
- Long-term column-averaged greenhouse gas observations using a COCCON spectrometer at the high-surface-albedo site in Gobabeb, Namibia M. Frey et al. 10.5194/amt-14-5887-2021
- Study on the Ground-Based FTS Measurements at Beijing, China and the Colocation Sensitivity of Satellite Data S. Yang et al. 10.3390/atmos12121586
- Greenhouse gas column observations from a portable spectrometer in Uganda N. Humpage et al. 10.5194/amt-17-5679-2024
- An Approach to Estimate Atmospheric Greenhouse Gas Total Columns Mole Fraction from Partial Column Sampling J. Tadić & S. Biraud 10.3390/atmos9070247
- XCO<sub>2</sub> retrieval for GOSAT and GOSAT-2 based on the FOCAL algorithm S. Noël et al. 10.5194/amt-14-3837-2021
- Study of Atmospheric Carbon Dioxide Retrieval Method Based on Normalized Sensitivity L. Zhao et al. 10.3390/rs14051106
- Observational constraints reduce model spread but not uncertainty in global wetland methane emission estimates K. Chang et al. 10.1111/gcb.16755
2 citations as recorded by crossref.
Saved (preprint)
Latest update: 14 Dec 2024
Short summary
In this study, we correct the biases of GOSAT XCO2 and XCH4 using TCCON data. To evaluate the effectiveness of our correction method, uncorrected/corrected GOSAT data are compared to independent XCO2 and XCH4 data derived from aircraft measurements. Consequently, we suggest that this method is effective for reducing the biases of the GOSAT data. We consider that our work provides GOSAT data users with valuable information and contributes to the further development of studies on greenhouse gases.
In this study, we correct the biases of GOSAT XCO2 and XCH4 using TCCON data. To evaluate the...