Articles | Volume 18, issue 13 
            
                
                    
            
            
            https://doi.org/10.5194/acp-18-9225-2018
                    © Author(s) 2018. 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-18-9225-2018
                    © Author(s) 2018. This work is distributed under 
the Creative Commons Attribution 3.0 License.
                the Creative Commons Attribution 3.0 License.
Multi-species inversion and IAGOS airborne data for a better constraint of continental-scale fluxes
Fabio Boschetti
                                            Department Biogeochemical Systems, Max Plank Institute for Biogeochemistry, Jena, 07745, Germany
                                        
                                    Valerie Thouret
                                            Laboratoire d'Aerologie, CNRS and Universite' Paul Sabatier, Toulouse, 31400, France
                                        
                                    Greet Janssens Maenhout
                                            European Commission Joint Research Centre, Institute for Environment and Sustainability, Ispra, 21027, Italy
                                        
                                    Kai Uwe Totsche
                                            Friedrich Schiller University, Jena, 07743, Germany
                                        
                                    Julia Marshall
                                            Department Biogeochemical Systems, Max Plank Institute for Biogeochemistry, Jena, 07745, Germany
                                        
                                    
                                            Department Biogeochemical Systems, Max Plank Institute for Biogeochemistry, Jena, 07745, Germany
                                        
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                            Cited
13 citations as recorded by crossref.
- Verifying national inventory-based combustion emissions of CO2 across the UK and mainland Europe using satellite observations of atmospheric CO and CO2 T. Scarpelli et al. 10.5194/acp-24-10773-2024
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- Potential of 14C-based vs. ΔCO-based ΔffCO2 observations to estimate urban fossil fuel CO2 (ffCO2) emissions F. Maier et al. 10.5194/acp-24-8183-2024
- auSense: Collaborative Airspace Sensing by Commercial Airplanes and Unmanned Aerial Vehicles Y. Pan et al. 10.1109/TVT.2020.2986219
- In situ observations of greenhouse gases over Europe during the CoMet 1.0 campaign aboard the HALO aircraft M. Gałkowski et al. 10.5194/amt-14-1525-2021
- Quantifying fossil fuel methane emissions using observations of atmospheric ethane and an uncertain emission ratio A. Ramsden et al. 10.5194/acp-22-3911-2022
- Top-down Constraint on Regional Fossil Fuel CO2 Emissions in China using GOSAT and OCO-2 Satellite XCO2 Retrievals: A Case of the COVID-19 Lockdown W. Chang et al. 10.1007/s00376-024-4150-6
- Advancing Scientific Understanding of the Global Methane Budget in Support of the Paris Agreement A. Ganesan et al. 10.1029/2018GB006065
- Uncertainty analysis of a European high-resolution emission inventory of CO2 and CO to support inverse modelling and network design I. Super et al. 10.5194/acp-20-1795-2020
- Revising the coal mining CH4 emission factor based on multiple inventories and atmospheric inversion approach at one of the world's largest coal production areas: Shanxi province, China X. Shi et al. 10.1016/j.scitotenv.2025.178616
- Improved definition of prior uncertainties in CO2 and CO fossil fuel fluxes and its impact on multi-species inversion with GEOS-Chem (v12.5) I. Super et al. 10.5194/gmd-17-7263-2024
- Uncertainty in continuous ΔCO-based ΔffCO2 estimates derived from 14C flask and bottom-up ΔCO ∕ ΔffCO2 ratios F. Maier et al. 10.5194/acp-24-8205-2024
- Source Sector Attribution of CO2 Emissions Using an Urban CO/CO2 Bayesian Inversion System B. Nathan et al. 10.1029/2018JD029231
12 citations as recorded by crossref.
- Verifying national inventory-based combustion emissions of CO2 across the UK and mainland Europe using satellite observations of atmospheric CO and CO2 T. Scarpelli et al. 10.5194/acp-24-10773-2024
- Optimizing a dynamic fossil fuel CO2 emission model with CTDAS (CarbonTracker Data Assimilation Shell, v1.0) for an urban area using atmospheric observations of CO2, CO, NOx, and SO2 I. Super et al. 10.5194/gmd-13-2695-2020
- Potential of 14C-based vs. ΔCO-based ΔffCO2 observations to estimate urban fossil fuel CO2 (ffCO2) emissions F. Maier et al. 10.5194/acp-24-8183-2024
- auSense: Collaborative Airspace Sensing by Commercial Airplanes and Unmanned Aerial Vehicles Y. Pan et al. 10.1109/TVT.2020.2986219
- In situ observations of greenhouse gases over Europe during the CoMet 1.0 campaign aboard the HALO aircraft M. Gałkowski et al. 10.5194/amt-14-1525-2021
- Quantifying fossil fuel methane emissions using observations of atmospheric ethane and an uncertain emission ratio A. Ramsden et al. 10.5194/acp-22-3911-2022
- Top-down Constraint on Regional Fossil Fuel CO2 Emissions in China using GOSAT and OCO-2 Satellite XCO2 Retrievals: A Case of the COVID-19 Lockdown W. Chang et al. 10.1007/s00376-024-4150-6
- Advancing Scientific Understanding of the Global Methane Budget in Support of the Paris Agreement A. Ganesan et al. 10.1029/2018GB006065
- Uncertainty analysis of a European high-resolution emission inventory of CO2 and CO to support inverse modelling and network design I. Super et al. 10.5194/acp-20-1795-2020
- Revising the coal mining CH4 emission factor based on multiple inventories and atmospheric inversion approach at one of the world's largest coal production areas: Shanxi province, China X. Shi et al. 10.1016/j.scitotenv.2025.178616
- Improved definition of prior uncertainties in CO2 and CO fossil fuel fluxes and its impact on multi-species inversion with GEOS-Chem (v12.5) I. Super et al. 10.5194/gmd-17-7263-2024
- Uncertainty in continuous ΔCO-based ΔffCO2 estimates derived from 14C flask and bottom-up ΔCO ∕ ΔffCO2 ratios F. Maier et al. 10.5194/acp-24-8205-2024
1 citations as recorded by crossref.
Latest update: 31 Oct 2025
Short summary
                    Retrieving surface–atmosphere fluxes from the combination of atmospheric observations with atmospheric transport models can benefit from combining multiple species in a single inversion. The underlying effect is that species such as CO2 and CO have partially overlapping emission patterns for given sectors and fuel types and so share part of the uncertainties, both related to the a priori knowledge of emissions, and to model–data mismatch error. We show this for airborne profile data from IAGOS.
                    Retrieving surface–atmosphere fluxes from the combination of atmospheric observations with...
                    
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