Articles | Volume 8, issue 5
https://doi.org/10.5194/gmd-8-1525-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-1525-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
26 May 2015
Model description paper |
| 26 May 2015
Objectified quantification of uncertainties in Bayesian atmospheric inversions
Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, IPSL, Gif-sur-Yvette, France
now at: Laboratory for Air Pollution/Environmental Technology, Swiss Federal Laboratories for Materials Science and Technology, Empa, Dübendorf, Switzerland
I. Pison
Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, IPSL, Gif-sur-Yvette, France
F. Chevallier
Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, IPSL, Gif-sur-Yvette, France
P. Bousquet
Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, IPSL, Gif-sur-Yvette, France
J.-L. Bonne
Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, IPSL, Gif-sur-Yvette, France
J.-D. Paris
Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, IPSL, Gif-sur-Yvette, France
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Cited
20 citations as recorded by crossref.
- Non-Gaussian bivariate modelling with application to atmospheric trace-gas inversion A. Zammit-Mangion et al. https://doi.org/10.1016/j.spasta.2016.06.005
- German methane fluxes estimated top-down using ICON–ART – Part 1: Ensemble-enhanced scaling inversion V. Bruch et al. https://doi.org/10.5194/acp-25-17159-2025
- Uncertainty characterization in the retrieval of an atmospheric point release S. Singh et al. https://doi.org/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. https://doi.org/10.5194/acp-18-3779-2018
- Diagnostic methods for atmospheric inversions of long-lived greenhouse gases A. Michalak et al. https://doi.org/10.5194/acp-17-7405-2017
- Can we detect regional methane anomalies? A comparison between three observing systems C. Cressot et al. https://doi.org/10.5194/acp-16-9089-2016
- The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. https://doi.org/10.5194/gmd-14-5331-2021
- Impact of transport model resolution and a priori assumptions on inverse modeling of Swiss F-gas emissions I. Katharopoulos et al. https://doi.org/10.5194/acp-23-14159-2023
- Estimation of trace gas fluxes with objectively determined basis functions using reversible-jump Markov chain Monte Carlo M. Lunt et al. https://doi.org/10.5194/gmd-9-3213-2016
- The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2017 A. Petrescu et al. https://doi.org/10.5194/essd-13-2307-2021
- Bayesian spatio-temporal inference of trace gas emissions using an integrated nested Laplacian approximation and Gaussian Markov random fields L. Western et al. https://doi.org/10.5194/gmd-13-2095-2020
- Estimating methane emissions in the Arctic nations using surface observations from 2008 to 2019 S. Wittig et al. https://doi.org/10.5194/acp-23-6457-2023
- Three-dimensional methane distribution simulated with FLEXPART 8-CTM-1.1 constrained with observation data C. Groot Zwaaftink et al. https://doi.org/10.5194/gmd-11-4469-2018
- A pragmatic protocol for characterising errors in atmospheric inversions of methane emissions over Europe B. Szénási et al. https://doi.org/10.1080/16000889.2021.1914989
- Natural and anthropogenic methane fluxes in Eurasia: a mesoscale quantification by generalized atmospheric inversion A. Berchet et al. https://doi.org/10.5194/bg-12-5393-2015
- The fingerprint of the summer 2018 drought in Europe on ground-based atmospheric CO2measurements M. Ramonet et al. https://doi.org/10.1098/rstb.2019.0513
- Flow-dependent observation errors for greenhouse gas inversions in an ensemble Kalman smoother M. Steiner et al. https://doi.org/10.5194/acp-24-12447-2024
- Impact of Siberian observations on the optimization of surface CO2 flux J. Kim et al. https://doi.org/10.5194/acp-17-2881-2017
- Comparison of four inverse modelling systems applied to the estimation of HFC-125, HFC-134a, and SF6 emissions over Europe D. Brunner et al. https://doi.org/10.5194/acp-17-10651-2017
- The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019 A. Petrescu et al. https://doi.org/10.5194/essd-15-1197-2023
20 citations as recorded by crossref.
- Non-Gaussian bivariate modelling with application to atmospheric trace-gas inversion A. Zammit-Mangion et al. https://doi.org/10.1016/j.spasta.2016.06.005
- German methane fluxes estimated top-down using ICON–ART – Part 1: Ensemble-enhanced scaling inversion V. Bruch et al. https://doi.org/10.5194/acp-25-17159-2025
- Uncertainty characterization in the retrieval of an atmospheric point release S. Singh et al. https://doi.org/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. https://doi.org/10.5194/acp-18-3779-2018
- Diagnostic methods for atmospheric inversions of long-lived greenhouse gases A. Michalak et al. https://doi.org/10.5194/acp-17-7405-2017
- Can we detect regional methane anomalies? A comparison between three observing systems C. Cressot et al. https://doi.org/10.5194/acp-16-9089-2016
- The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. https://doi.org/10.5194/gmd-14-5331-2021
- Impact of transport model resolution and a priori assumptions on inverse modeling of Swiss F-gas emissions I. Katharopoulos et al. https://doi.org/10.5194/acp-23-14159-2023
- Estimation of trace gas fluxes with objectively determined basis functions using reversible-jump Markov chain Monte Carlo M. Lunt et al. https://doi.org/10.5194/gmd-9-3213-2016
- The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2017 A. Petrescu et al. https://doi.org/10.5194/essd-13-2307-2021
- Bayesian spatio-temporal inference of trace gas emissions using an integrated nested Laplacian approximation and Gaussian Markov random fields L. Western et al. https://doi.org/10.5194/gmd-13-2095-2020
- Estimating methane emissions in the Arctic nations using surface observations from 2008 to 2019 S. Wittig et al. https://doi.org/10.5194/acp-23-6457-2023
- Three-dimensional methane distribution simulated with FLEXPART 8-CTM-1.1 constrained with observation data C. Groot Zwaaftink et al. https://doi.org/10.5194/gmd-11-4469-2018
- A pragmatic protocol for characterising errors in atmospheric inversions of methane emissions over Europe B. Szénási et al. https://doi.org/10.1080/16000889.2021.1914989
- Natural and anthropogenic methane fluxes in Eurasia: a mesoscale quantification by generalized atmospheric inversion A. Berchet et al. https://doi.org/10.5194/bg-12-5393-2015
- The fingerprint of the summer 2018 drought in Europe on ground-based atmospheric CO2measurements M. Ramonet et al. https://doi.org/10.1098/rstb.2019.0513
- Flow-dependent observation errors for greenhouse gas inversions in an ensemble Kalman smoother M. Steiner et al. https://doi.org/10.5194/acp-24-12447-2024
- Impact of Siberian observations on the optimization of surface CO2 flux J. Kim et al. https://doi.org/10.5194/acp-17-2881-2017
- Comparison of four inverse modelling systems applied to the estimation of HFC-125, HFC-134a, and SF6 emissions over Europe D. Brunner et al. https://doi.org/10.5194/acp-17-10651-2017
- The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019 A. Petrescu et al. https://doi.org/10.5194/essd-15-1197-2023
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