Articles | Volume 11, issue 7
https://doi.org/10.5194/acp-11-3443-2011
© Author(s) 2011. 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-11-3443-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
13 Apr 2011
Research article |
| 13 Apr 2011
A Bayesian inversion estimate of N2O emissions for western and central Europe and the assessment of aggregation errors
R. L. Thompson
Laboratoire des Sciences du Climat et l'Environnement (LSCE), UMR 8212, Paris, France
Max Planck Institute for Biogeochemistry (MPI-BGC), Jena, Germany
C. Gerbig
Max Planck Institute for Biogeochemistry (MPI-BGC), Jena, Germany
C. Rödenbeck
Max Planck Institute for Biogeochemistry (MPI-BGC), Jena, Germany
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- Including N2O in ozone depletion models for LCA J. Lane & P. Lant 10.1007/s11367-011-0362-y
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- Assessing Lagrangian inverse modelling of urban anthropogenic CO2 fluxes using in situ aircraft and ground-based measurements in the Tokyo area I. Pisso et al. 10.1186/s13021-019-0118-8
- European Emissions of Halogenated Greenhouse Gases Inferred from Atmospheric Measurements C. Keller et al. 10.1021/es202453j
- Environmental assessment of biofuel pathways in Ile de France based on ecosystem modeling B. Gabrielle et al. 10.1016/j.biortech.2013.10.104
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- Improving computational efficiency in large linear inverse problems: an example from carbon dioxide flux estimation V. Yadav & A. Michalak 10.5194/gmd-6-583-2013
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- Characteristics of atmospheric nitrous oxide observed at Mt. Waliguan GAW global station in the inland Eurasia during eighteen years M. Liang et al. 10.1007/s11430-023-1197-7
- On the parallelization of atmospheric inversions of CO<sub>2</sub> surface fluxes within a variational framework F. Chevallier 10.5194/gmd-6-783-2013
- Designing optimal greenhouse gas observing networks that consider performance and cost D. Lucas et al. 10.5194/gi-4-121-2015
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- CO, NO<sub>x</sub> and <sup>13</sup>CO<sub>2</sub> as tracers for fossil fuel CO<sub>2</sub>: results from a pilot study in Paris during winter 2010 M. Lopez et al. 10.5194/acp-13-7343-2013
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25 citations as recorded by crossref.
- Atmospheric abundance and global emissions of perfluorocarbons CF<sub>4</sub>, C<sub>2</sub>F<sub>6</sub> and C<sub>3</sub>F<sub>8</sub> since 1800 inferred from ice core, firn, air archive and in situ measurements C. Trudinger et al. 10.5194/acp-16-11733-2016
- 2001~2018年瓦里全球本底站氧化亚氮浓度变化特征 苗. 梁 et al. 10.1360/N072023-0042
- Including N2O in ozone depletion models for LCA J. Lane & P. Lant 10.1007/s11367-011-0362-y
- Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: method development for probabilistic modeling of organic carbon and organic matter concentrations C. Bürki et al. 10.5194/amt-13-1517-2020
- Modeling indirect N2O emissions along the N cascade from cropland soils to rivers G. Billen et al. 10.1007/s10533-020-00654-x
- Urban-scale variational flux inversion for CO Using TROPOMI total-column retrievals: A case study of Tehran N. Shahrokhi et al. 10.1016/j.atmosenv.2023.120009
- Metrics for evaluating the quality in linear atmospheric inverse problems: a case study of a trace gas inversion V. Yadav et al. 10.5194/gmd-16-5219-2023
- FLEXINVERT: an atmospheric Bayesian inversion framework for determining surface fluxes of trace species using an optimized grid R. Thompson & A. Stohl 10.5194/gmd-7-2223-2014
- Validation of the Swiss methane emission inventory by atmospheric observations and inverse modelling S. Henne et al. 10.5194/acp-16-3683-2016
- Quantifying the model structural error in carbon cycle data assimilation systems S. Kuppel et al. 10.5194/gmd-6-45-2013
- Quantifying methane and nitrous oxide emissions from the UK and Ireland using a national-scale monitoring network A. Ganesan et al. 10.5194/acp-15-6393-2015
- Assessing Lagrangian inverse modelling of urban anthropogenic CO2 fluxes using in situ aircraft and ground-based measurements in the Tokyo area I. Pisso et al. 10.1186/s13021-019-0118-8
- European Emissions of Halogenated Greenhouse Gases Inferred from Atmospheric Measurements C. Keller et al. 10.1021/es202453j
- Environmental assessment of biofuel pathways in Ile de France based on ecosystem modeling B. Gabrielle et al. 10.1016/j.biortech.2013.10.104
- TransCom N<sub>2</sub>O model inter-comparison – Part 2: Atmospheric inversion estimates of N<sub>2</sub>O emissions R. Thompson et al. 10.5194/acp-14-6177-2014
- Bayesian Optimization of the Community Land Model Simulated Biosphere–Atmosphere Exchange using CO2 Observations from a Dense Tower Network and Aircraft Campaigns over Oregon A. Schmidt et al. 10.1175/EI-D-16-0011.1
- Improving computational efficiency in large linear inverse problems: an example from carbon dioxide flux estimation V. Yadav & A. Michalak 10.5194/gmd-6-583-2013
- Global and regional emissions estimates for N<sub>2</sub>O E. Saikawa et al. 10.5194/acp-14-4617-2014
- Fundamentals of data assimilation applied to biogeochemistry P. Rayner et al. 10.5194/acp-19-13911-2019
- Characterization of uncertainties in atmospheric trace gas inversions using hierarchical Bayesian methods A. Ganesan et al. 10.5194/acp-14-3855-2014
- Characteristics of atmospheric nitrous oxide observed at Mt. Waliguan GAW global station in the inland Eurasia during eighteen years M. Liang et al. 10.1007/s11430-023-1197-7
- On the parallelization of atmospheric inversions of CO<sub>2</sub> surface fluxes within a variational framework F. Chevallier 10.5194/gmd-6-783-2013
- Designing optimal greenhouse gas observing networks that consider performance and cost D. Lucas et al. 10.5194/gi-4-121-2015
- Estimation of mercury emissions from forest fires, lakes, regional and local sources using measurements in Milwaukee and an inverse method B. de Foy et al. 10.5194/acp-12-8993-2012
- CO, NO<sub>x</sub> and <sup>13</sup>CO<sub>2</sub> as tracers for fossil fuel CO<sub>2</sub>: results from a pilot study in Paris during winter 2010 M. Lopez et al. 10.5194/acp-13-7343-2013
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