Articles | Volume 13, issue 14
https://doi.org/10.5194/acp-13-7115-2013
© Author(s) 2013. 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-13-7115-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
29 Jul 2013
Research article |
| 29 Jul 2013
Towards better error statistics for atmospheric inversions of methane surface fluxes
A. Berchet
Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, UMR8212, IPSL, Gif-sur-Yvette, France
I. Pison
Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, UMR8212, IPSL, Gif-sur-Yvette, France
F. Chevallier
Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, UMR8212, IPSL, Gif-sur-Yvette, France
P. Bousquet
Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, UMR8212, IPSL, Gif-sur-Yvette, France
Andra, DRD/OS, Observatoire Pérenne de l'Environnement, France
M. Geever
National University of Ireland, Galway, Ireland
T. Laurila
FMI, Finnish Meteorological Institute, Helsinki, Finland
J. Lavrič
Max Planck Institute for Biogeochemistry, Jena, Germany
M. Lopez
Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, UMR8212, IPSL, Gif-sur-Yvette, France
J. Moncrieff
University of Edinburgh, Edinburgh, UK
AGH University of Science and Technology, Krakow, Poland
M. Ramonet
Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, UMR8212, IPSL, Gif-sur-Yvette, France
M. Schmidt
Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, UMR8212, IPSL, Gif-sur-Yvette, France
M. Steinbacher
Empa, Laboratory for Air Pollution/Environmental Technology, Duebendorf, Switzerland
J. Tarniewicz
Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, UMR8212, IPSL, Gif-sur-Yvette, France
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- Quantifying the UK's carbon dioxide flux: an atmospheric inverse modelling approach using a regional measurement network E. White et al. 10.5194/acp-19-4345-2019
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- Continued Emissions of the Ozone‐Depleting Substance Carbon Tetrachloride From Eastern Asia M. Lunt et al. 10.1029/2018GL079500
- Accounting for Transport Error in Inversions: An Urban Synthetic Data Experiment S. Ghosh et al. 10.1029/2020EA001272
- Estimating methane emissions in the Arctic nations using surface observations from 2008 to 2019 S. Wittig et al. 10.5194/acp-23-6457-2023
- Bayesian inversion of HFC-134a emissions in southern China from a new AGAGE site: Results from an observing system simulation experiment J. Li et al. 10.1016/j.atmosenv.2024.120715
- Uncertainty characterization in the retrieval of an atmospheric point release S. Singh et al. 10.1016/j.atmosenv.2016.12.016
- How a European network may help with estimating methane emissions on the French national scale I. Pison et al. 10.5194/acp-18-3779-2018
- Surface water inundation in the boreal-Arctic: potential impacts on regional methane emissions J. Watts et al. 10.1088/1748-9326/9/7/075001
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- Development of a variational flux inversion system (INVICAT v1.0) using the TOMCAT chemical transport model C. Wilson et al. 10.5194/gmd-7-2485-2014
- LS-APC v1.0: a tuning-free method for the linear inverse problem and its application to source-term determination O. Tichý et al. 10.5194/gmd-9-4297-2016
- Characterization of uncertainties in atmospheric trace gas inversions using hierarchical Bayesian methods A. Ganesan et al. 10.5194/acp-14-3855-2014
- Enhanced Methane Emissions during Amazonian Drought by Biomass Burning M. Saito et al. 10.1371/journal.pone.0166039
- Uncertainty quantification of pollutant source retrieval: comparison of Bayesian methods with application to the Chernobyl and Fukushima Daiichi accidental releases of radionuclides Y. Liu et al. 10.1002/qj.3138
- Objectified quantification of uncertainties in Bayesian atmospheric inversions A. Berchet et al. 10.5194/gmd-8-1525-2015
- Natural and anthropogenic methane fluxes in Eurasia: a mesoscale quantification by generalized atmospheric inversion A. Berchet et al. 10.5194/bg-12-5393-2015
27 citations as recorded by crossref.
- Bayesian inverse modeling and source location of an unintended 131I release in Europe in the fall of 2011 O. Tichý et al. 10.5194/acp-17-12677-2017
- On the tuning of atmospheric inverse methods: comparisons with the European Tracer Experiment (ETEX) and Chernobyl datasets using the atmospheric transport model FLEXPART O. Tichý et al. 10.5194/gmd-13-5917-2020
- Estimation of trace gas fluxes with objectively determined basis functions using reversible-jump Markov chain Monte Carlo M. Lunt et al. 10.5194/gmd-9-3213-2016
- Automatic processing of atmospheric CO2 and CH4 mole fractions at the ICOS Atmosphere Thematic Centre L. Hazan et al. 10.5194/amt-9-4719-2016
- Diagnostic methods for atmospheric inversions of long-lived greenhouse gases A. Michalak et al. 10.5194/acp-17-7405-2017
- Atmospheric constraints on the methane emissions from the East Siberian Shelf A. Berchet et al. 10.5194/acp-16-4147-2016
- Quantifying the UK's carbon dioxide flux: an atmospheric inverse modelling approach using a regional measurement network E. White et al. 10.5194/acp-19-4345-2019
- Atmospheric transport and chemistry of trace gases in LMDz5B: evaluation and implications for inverse modelling R. Locatelli et al. 10.5194/gmd-8-129-2015
- Continued Emissions of the Ozone‐Depleting Substance Carbon Tetrachloride From Eastern Asia M. Lunt et al. 10.1029/2018GL079500
- Accounting for Transport Error in Inversions: An Urban Synthetic Data Experiment S. Ghosh et al. 10.1029/2020EA001272
- Estimating methane emissions in the Arctic nations using surface observations from 2008 to 2019 S. Wittig et al. 10.5194/acp-23-6457-2023
- Bayesian inversion of HFC-134a emissions in southern China from a new AGAGE site: Results from an observing system simulation experiment J. Li et al. 10.1016/j.atmosenv.2024.120715
- Uncertainty characterization in the retrieval of an atmospheric point release S. Singh et al. 10.1016/j.atmosenv.2016.12.016
- How a European network may help with estimating methane emissions on the French national scale I. Pison et al. 10.5194/acp-18-3779-2018
- Surface water inundation in the boreal-Arctic: potential impacts on regional methane emissions J. Watts et al. 10.1088/1748-9326/9/7/075001
- Real-time measurement of radionuclide concentrations and its impact on inverse modeling of 106Ru release in the fall of 2017 O. Tichý et al. 10.5194/amt-14-803-2021
- Assimilation of GOSAT Methane in the Hemispheric CMAQ; Part I: Design of the Assimilation System S. Voshtani et al. 10.3390/rs14020371
- Comparison of four inverse modelling systems applied to the estimation of HFC-125, HFC-134a, and SF6 emissions over Europe D. Brunner et al. 10.5194/acp-17-10651-2017
- Comparing mass balance and adjoint methods for inverse modeling of nitrogen dioxide columns for global nitrogen oxide emissions M. Cooper et al. 10.1002/2016JD025985
- Swiss halocarbon emissions for 2019 to 2020 assessed from regional atmospheric observations D. Rust et al. 10.5194/acp-22-2447-2022
- Development of a variational flux inversion system (INVICAT v1.0) using the TOMCAT chemical transport model C. Wilson et al. 10.5194/gmd-7-2485-2014
- LS-APC v1.0: a tuning-free method for the linear inverse problem and its application to source-term determination O. Tichý et al. 10.5194/gmd-9-4297-2016
- Characterization of uncertainties in atmospheric trace gas inversions using hierarchical Bayesian methods A. Ganesan et al. 10.5194/acp-14-3855-2014
- Enhanced Methane Emissions during Amazonian Drought by Biomass Burning M. Saito et al. 10.1371/journal.pone.0166039
- Uncertainty quantification of pollutant source retrieval: comparison of Bayesian methods with application to the Chernobyl and Fukushima Daiichi accidental releases of radionuclides Y. Liu et al. 10.1002/qj.3138
- Objectified quantification of uncertainties in Bayesian atmospheric inversions A. Berchet et al. 10.5194/gmd-8-1525-2015
- Natural and anthropogenic methane fluxes in Eurasia: a mesoscale quantification by generalized atmospheric inversion A. Berchet et al. 10.5194/bg-12-5393-2015
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