Articles | Volume 16, issue 21
https://doi.org/10.5194/acp-16-14003-2016
© 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/acp-16-14003-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Nov 2016
Research article |
| 11 Nov 2016
Seasonal variability of stratospheric methane: implications for constraining tropospheric methane budgets using total column observations
Environmental Science and Engineering, California Institute of Technology, Pasadena, California, USA
Debra Wunch
Environmental Science and Engineering, California Institute of Technology, Pasadena, California, USA
Department of Physics, University of Toronto, Toronto, Ontario, Canada
Nicholas M. Deutscher
Center for Atmospheric Chemistry, School of Chemistry, University of Wollongong, Wollongong, NSW, Australia
Institute of Environmental Physics, University of Bremen, Bremen, Germany
David W. T. Griffith
Center for Atmospheric Chemistry, School of Chemistry, University of Wollongong, Wollongong, NSW, Australia
Frank Hase
Institute for Meteorology and Climate Research, Karlsruhe Institute of Technology, IMK-ASF, Karlsruhe, Germany
Martine De Mazière
Royal Belgian Institute for Space Aeronomy, Brussels, Belgium
Justus Notholt
Institute of Environmental Physics, University of Bremen, Bremen, Germany
David F. Pollard
National Institute of Water and Atmospheric Research, Omakau, New Zealand
Coleen M. Roehl
Environmental Science and Engineering, California Institute of Technology, Pasadena, California, USA
Matthias Schneider
Institute for Meteorology and Climate Research, Karlsruhe Institute of Technology, IMK-ASF, Karlsruhe, Germany
Ralf Sussmann
Institute for Meteorology and Climate Research, Karlsruhe Institute of Technology, IMK-IFU, Garmisch-Partenkirchen, Germany
Thorsten Warneke
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Paul O. Wennberg
Environmental Science and Engineering, California Institute of Technology, Pasadena, California, USA
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Cited
21 citations as recorded by crossref.
- Estimating ground-level CH4 concentrations inferred from Sentinel-5P J. Qin et al. 10.1080/01431161.2023.2240028
- The Total Carbon Column Observing Network's GGG2020 data version J. Laughner et al. 10.5194/essd-16-2197-2024
- 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
- Retrieval of atmospheric CH<sub>4</sub> vertical information from ground-based FTS near-infrared spectra M. Zhou et al. 10.5194/amt-12-6125-2019
- Monitoring global tropospheric OH concentrations using satellite observations of atmospheric methane Y. Zhang et al. 10.5194/acp-18-15959-2018
- Variability and quasi-decadal changes in the methane budget over the period 2000–2012 M. Saunois et al. 10.5194/acp-17-11135-2017
- The Methane Isotopologues by Solar Occultation (MISO) Nanosatellite Mission: Spectral Channel Optimization and Early Performance Analysis D. Weidmann et al. 10.3390/rs9101073
- A decade of GOSAT Proxy satellite CH<sub>4</sub> observations R. Parker et al. 10.5194/essd-12-3383-2020
- 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
- 2010–2015 North American methane emissions, sectoral contributions, and trends: a high-resolution inversion of GOSAT observations of atmospheric methane J. Maasakkers et al. 10.5194/acp-21-4339-2021
- 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
- Verifying Methane Inventories and Trends With Atmospheric Methane Data J. Worden et al. 10.1029/2023AV000871
- Use of Assimilation Analysis in 4D-Var Source Inversion: Observing System Simulation Experiments (OSSEs) with GOSAT Methane and Hemispheric CMAQ S. Voshtani et al. 10.3390/atmos14040758
- Evaluation and Analysis of the Seasonal Cycle and Variability of the Trend from GOSAT Methane Retrievals E. Kivimäki et al. 10.3390/rs11070882
- A review of exoplanetary biosignatures J. Grenfell 10.1016/j.physrep.2017.08.003
- Contributions of the troposphere and stratosphere to CH<sub>4</sub> model biases Z. Wang et al. 10.5194/acp-17-13283-2017
- Attribution of the accelerating increase in atmospheric methane during 2010–2018 by inverse analysis of GOSAT observations Y. Zhang et al. 10.5194/acp-21-3643-2021
- 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
- Assimilation of GOSAT Methane in the Hemispheric CMAQ; Part II: Results Using Optimal Error Statistics S. Voshtani et al. 10.3390/rs14020375
- Global distribution of methane emissions, emission trends, and OH concentrations and trends inferred from an inversion of GOSAT satellite data for 2010–2015 J. Maasakkers et al. 10.5194/acp-19-7859-2019
21 citations as recorded by crossref.
- Estimating ground-level CH4 concentrations inferred from Sentinel-5P J. Qin et al. 10.1080/01431161.2023.2240028
- The Total Carbon Column Observing Network's GGG2020 data version J. Laughner et al. 10.5194/essd-16-2197-2024
- 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
- Retrieval of atmospheric CH<sub>4</sub> vertical information from ground-based FTS near-infrared spectra M. Zhou et al. 10.5194/amt-12-6125-2019
- Monitoring global tropospheric OH concentrations using satellite observations of atmospheric methane Y. Zhang et al. 10.5194/acp-18-15959-2018
- Variability and quasi-decadal changes in the methane budget over the period 2000–2012 M. Saunois et al. 10.5194/acp-17-11135-2017
- The Methane Isotopologues by Solar Occultation (MISO) Nanosatellite Mission: Spectral Channel Optimization and Early Performance Analysis D. Weidmann et al. 10.3390/rs9101073
- A decade of GOSAT Proxy satellite CH<sub>4</sub> observations R. Parker et al. 10.5194/essd-12-3383-2020
- 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
- 2010–2015 North American methane emissions, sectoral contributions, and trends: a high-resolution inversion of GOSAT observations of atmospheric methane J. Maasakkers et al. 10.5194/acp-21-4339-2021
- 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
- Verifying Methane Inventories and Trends With Atmospheric Methane Data J. Worden et al. 10.1029/2023AV000871
- Use of Assimilation Analysis in 4D-Var Source Inversion: Observing System Simulation Experiments (OSSEs) with GOSAT Methane and Hemispheric CMAQ S. Voshtani et al. 10.3390/atmos14040758
- Evaluation and Analysis of the Seasonal Cycle and Variability of the Trend from GOSAT Methane Retrievals E. Kivimäki et al. 10.3390/rs11070882
- A review of exoplanetary biosignatures J. Grenfell 10.1016/j.physrep.2017.08.003
- Contributions of the troposphere and stratosphere to CH<sub>4</sub> model biases Z. Wang et al. 10.5194/acp-17-13283-2017
- Attribution of the accelerating increase in atmospheric methane during 2010–2018 by inverse analysis of GOSAT observations Y. Zhang et al. 10.5194/acp-21-3643-2021
- 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
- Assimilation of GOSAT Methane in the Hemispheric CMAQ; Part II: Results Using Optimal Error Statistics S. Voshtani et al. 10.3390/rs14020375
- Global distribution of methane emissions, emission trends, and OH concentrations and trends inferred from an inversion of GOSAT satellite data for 2010–2015 J. Maasakkers et al. 10.5194/acp-19-7859-2019
Latest update: 20 Nov 2024
Short summary
Current approaches to constrain the global methane budget assimilate total column measurements into models, but model biases can impact results. We use tropospheric methane columns to evaluate model transport errors and identify a seasonal time lag in the Northern Hemisphere troposphere masked by stratospheric compensating effects. We find systematic biases in the stratosphere will alias into model-derived emissions estimates, especially those in the high Northern latitudes that vary seasonally.
Current approaches to constrain the global methane budget assimilate total column measurements...
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