Articles | Volume 16, issue 10
https://doi.org/10.5194/acp-16-6175-2016
© 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-16-6175-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
20 May 2016
Research article |
| 20 May 2016
Constraints on methane emissions in North America from future geostationary remote-sensing measurements
Nicolas Bousserez
CORRESPONDING AUTHOR
Department of Mechanical Engineering, University of Colorado, Boulder, CO, USA
Daven K. Henze
Department of Mechanical Engineering, University of Colorado, Boulder, CO, USA
Brigitte Rooney
Department of Mechanical Engineering, University of Colorado, Boulder, CO, USA
Andre Perkins
Department of Mechanical Engineering, University of Colorado, Boulder, CO, USA
now at: Department of Atmospheric Sciences, University of Washington, Seattle, WA, USA
Kevin J. Wecht
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Alexander J. Turner
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Vijay Natraj
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
John R. Worden
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
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Cited
17 citations as recorded by crossref.
- 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
- Satellite observations of atmospheric methane and their value for quantifying methane emissions D. Jacob et al. 10.5194/acp-16-14371-2016
- The CHRONOS mission: capability for sub-hourly synoptic observations of carbon monoxide and methane to quantify emissions and transport of air pollution D. Edwards et al. 10.5194/amt-11-1061-2018
- Top‐down estimate of methane emissions in California using a mesoscale inverse modeling technique: The San Joaquin Valley Y. Cui et al. 10.1002/2016JD026398
- Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review G. Balsamo et al. 10.3390/rs10122038
- How well can inverse analyses of high-resolution satellite data resolve heterogeneous methane fluxes? Observing system simulation experiments with the GEOS-Chem adjoint model (v35) X. Yu et al. 10.5194/gmd-14-7775-2021
- Constraining sector-specific CO<sub>2</sub> and CH<sub>4</sub> emissions in the US S. Miller & A. Michalak 10.5194/acp-17-3963-2017
- An algorithm for hyperspectral remote sensing of aerosols: 3. Application to the GEO-TASO data in KORUS-AQ field campaign W. Hou et al. 10.1016/j.jqsrt.2020.107161
- Comparative analysis of low-Earth orbit (TROPOMI) and geostationary (GeoCARB, GEO-CAPE) satellite instruments for constraining methane emissions on fine regional scales: application to the Southeast US J. Sheng et al. 10.5194/amt-11-6379-2018
- Assessing the capability of different satellite observing configurations to resolve the distribution of methane emissions at kilometer scales A. Turner et al. 10.5194/acp-18-8265-2018
- What are the greenhouse gas observing system requirements for reducing fundamental biogeochemical process uncertainty? Amazon wetland CH<sub>4</sub> emissions as a case study A. Bloom et al. 10.5194/acp-16-15199-2016
- Methane emissions from a waste treatment site: Numerical analysis of aircraft-based data Y. Cai et al. 10.1016/j.agrformet.2020.108102
- 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
- Optimal and scalable methods to approximate the solutions of large‐scale Bayesian problems: theory and application to atmospheric inversion and data assimilation N. Bousserez & D. Henze 10.1002/qj.3209
- A high-resolution satellite-based map of global methane emissions reveals missing wetland, fossil fuel, and monsoon sources X. Yu et al. 10.5194/acp-23-3325-2023
- Assimilation of satellite NO<sub>2</sub> observations at high spatial resolution using OSSEs X. Liu et al. 10.5194/acp-17-7067-2017
- Decadal Methane Emission Trend Inferred from Proxy GOSAT XCH4 Retrievals: Impacts of Transport Model Spatial Resolution S. Zhu et al. 10.1007/s00376-022-1434-6
17 citations as recorded by crossref.
- 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
- Satellite observations of atmospheric methane and their value for quantifying methane emissions D. Jacob et al. 10.5194/acp-16-14371-2016
- The CHRONOS mission: capability for sub-hourly synoptic observations of carbon monoxide and methane to quantify emissions and transport of air pollution D. Edwards et al. 10.5194/amt-11-1061-2018
- Top‐down estimate of methane emissions in California using a mesoscale inverse modeling technique: The San Joaquin Valley Y. Cui et al. 10.1002/2016JD026398
- Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review G. Balsamo et al. 10.3390/rs10122038
- How well can inverse analyses of high-resolution satellite data resolve heterogeneous methane fluxes? Observing system simulation experiments with the GEOS-Chem adjoint model (v35) X. Yu et al. 10.5194/gmd-14-7775-2021
- Constraining sector-specific CO<sub>2</sub> and CH<sub>4</sub> emissions in the US S. Miller & A. Michalak 10.5194/acp-17-3963-2017
- An algorithm for hyperspectral remote sensing of aerosols: 3. Application to the GEO-TASO data in KORUS-AQ field campaign W. Hou et al. 10.1016/j.jqsrt.2020.107161
- Comparative analysis of low-Earth orbit (TROPOMI) and geostationary (GeoCARB, GEO-CAPE) satellite instruments for constraining methane emissions on fine regional scales: application to the Southeast US J. Sheng et al. 10.5194/amt-11-6379-2018
- Assessing the capability of different satellite observing configurations to resolve the distribution of methane emissions at kilometer scales A. Turner et al. 10.5194/acp-18-8265-2018
- What are the greenhouse gas observing system requirements for reducing fundamental biogeochemical process uncertainty? Amazon wetland CH<sub>4</sub> emissions as a case study A. Bloom et al. 10.5194/acp-16-15199-2016
- Methane emissions from a waste treatment site: Numerical analysis of aircraft-based data Y. Cai et al. 10.1016/j.agrformet.2020.108102
- 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
- Optimal and scalable methods to approximate the solutions of large‐scale Bayesian problems: theory and application to atmospheric inversion and data assimilation N. Bousserez & D. Henze 10.1002/qj.3209
- A high-resolution satellite-based map of global methane emissions reveals missing wetland, fossil fuel, and monsoon sources X. Yu et al. 10.5194/acp-23-3325-2023
- Assimilation of satellite NO<sub>2</sub> observations at high spatial resolution using OSSEs X. Liu et al. 10.5194/acp-17-7067-2017
- Decadal Methane Emission Trend Inferred from Proxy GOSAT XCH4 Retrievals: Impacts of Transport Model Spatial Resolution S. Zhu et al. 10.1007/s00376-022-1434-6
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Discussed (final revised paper)
Latest update: 23 Nov 2024
Short summary
This work provides new insight into the observational constraints provided by current low-Earth orbit (LEO) and future potential geostationary (GEO) satellite missions on methane emissions in North America. Using efficient numerical tools, the information content (error reductions, spatial resolution of the constraints) of methane inversions using different instrument configurations (TIR, SWIR and multi-spectral) was estimated at model grid-scale resolution (0.5° × 0.7°).
This work provides new insight into the observational constraints provided by current low-Earth...
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