Articles | Volume 12, issue 24
https://doi.org/10.5194/bg-12-7403-2015
© 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/bg-12-7403-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
16 Dec 2015
Research article |
| 16 Dec 2015
An objective prior error quantification for regional atmospheric inverse applications
P. Kountouris
CORRESPONDING AUTHOR
Max Planck Institute for Biogeochemistry, Jena, Germany
C. Gerbig
Max Planck Institute for Biogeochemistry, Jena, Germany
K.-U. Totsche
Institute of Geosciences, Department of Hydrology, Friedrich-Schiller-Universität, Jena, Germany
A. J. Dolman
VU University Amsterdam, Amsterdam, the Netherlands
A. G. C. A. Meesters
VU University Amsterdam, Amsterdam, the Netherlands
G. Broquet
Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, UMR8212, IPSL, Gif-sur-Yvette, France
F. Maignan
Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, UMR8212, IPSL, Gif-sur-Yvette, France
B. Gioli
Institute of Biometeorology, IBIMET CNR, Florence, Italy
L. Montagnani
Faculty of Science and Technology, Free University of Bolzano, Piazza Università 5, 39100 Bolzano, Italy
Forest Services, Autonomous Province of Bolzano, Via Brennero 6, 39100 Bolzano, Italy
C. Helfter
Centre for Ecology and Hydrology, Edinburgh, UK
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16 citations as recorded by crossref.
- The consolidated European synthesis of CO2 emissions and removals for the European Union and United Kingdom: 1990–2020 M. McGrath et al. 10.5194/essd-15-4295-2023
- Temporal Error Correlations in a Terrestrial Carbon Cycle Model Derived by Comparison to Carbon Dioxide Eddy Covariance Flux Tower Measurements D. Wesloh et al. 10.1029/2023JG007526
- Technical Note: Atmospheric CO<sub>2</sub> inversions on the mesoscale using data-driven prior uncertainties: methodology and system evaluation P. Kountouris et al. 10.5194/acp-18-3027-2018
- Assimilating Sentinel-2 data in a modified vegetation photosynthesis and respiration model (VPRM) to improve the simulation of croplands CO2 fluxes in Europe H. Bazzi et al. 10.1016/j.jag.2024.103666
- Development of a Mesoscale Inversion System for Estimating Continental‐Scale CO2 Fluxes D. Wesloh et al. 10.1029/2019MS001818
- A high-resolution monitoring approach of urban CO2 fluxes. Part 2 – surface flux optimisation using eddy covariance observations S. Stagakis et al. 10.1016/j.scitotenv.2023.166035
- Development of the WRF-CO2 4D-Var assimilation system v1.0 T. Zheng et al. 10.5194/gmd-11-1725-2018
- A High-Resolution Monitoring Approach of Urban Co2 Fluxes. Part 2 - Optimisation Framework Using Eddy Covariance Observations S. Stagakis et al. 10.2139/ssrn.4172740
- Why do inverse models disagree? A case study with two European CO2 inversions S. Munassar et al. 10.5194/acp-23-2813-2023
- Net ecosystem exchange (NEE) estimates 2006–2019 over Europe from a pre-operational ensemble-inversion system S. Munassar et al. 10.5194/acp-22-7875-2022
- Reconciling the Carbon Balance of Northern Sweden Through Integration of Observations and Modelling A. Sathyanadh et al. 10.1029/2021JD035185
- The regional European atmospheric transport inversion comparison, EUROCOM: first results on European-wide terrestrial carbon fluxes for the period 2006–2015 G. Monteil et al. 10.5194/acp-20-12063-2020
- PMIF v1.0: assessing the potential of satellite observations to constrain CO<sub>2</sub> emissions from large cities and point sources over the globe using synthetic data Y. Wang et al. 10.5194/gmd-13-5813-2020
- Atmospheric CO<sub>2</sub> inversions on the mesoscale using data-driven prior uncertainties: quantification of the European terrestrial CO<sub>2</sub> fluxes P. Kountouris et al. 10.5194/acp-18-3047-2018
- A Multiyear Gridded Data Ensemble of Surface Biogenic Carbon Fluxes for North America: Evaluation and Analysis of Results Y. Zhou et al. 10.1029/2019JG005314
- Analysis of regional CO2 contributions at the high Alpine observatory Jungfraujoch by means of atmospheric transport simulations and δ13C S. Pieber et al. 10.5194/acp-22-10721-2022
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