Articles | Volume 15, issue 17
Atmos. Chem. Phys., 15, 9747–9763, 2015
https://doi.org/10.5194/acp-15-9747-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 15, 9747–9763, 2015
https://doi.org/10.5194/acp-15-9747-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article 01 Sep 2015
Research article | 01 Sep 2015
Comparing the CarbonTracker and TM5-4DVar data assimilation systems for CO2 surface flux inversions
A. Babenhauserheide et al.
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Cited
13 citations as recorded by crossref.
- The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
- A CO-based method to determine the regional biospheric signal in atmospheric CO2 B. Oney et al. 10.1080/16000889.2017.1353388
- Effect of Data Assimilation Parameters on The Optimized Surface CO2 Flux in Asia H. Kim et al. 10.1007/s13143-017-0049-9
- A Surface Ocean CO2 Reference Network, SOCONET and Associated Marine Boundary Layer CO2 Measurements R. Wanninkhof et al. 10.3389/fmars.2019.00400
- The CarbonTracker Data Assimilation Shell (CTDAS) v1.0: implementation and global carbon balance 2001–2015 I. van der Laan-Luijkx et al. 10.5194/gmd-10-2785-2017
- Multi-Year Comparison of CO2 Concentration from NOAA Carbon Tracker Reanalysis Model with Data from GOSAT and OCO-2 over Asia F. Mustafa et al. 10.3390/rs12152498
- The Potential of the Geostationary Carbon Cycle Observatory (GeoCarb) to Provide Multi-scale Constraints on the Carbon Cycle in the Americas B. Moore III et al. 10.3389/fenvs.2018.00109
- Accounting for model error in air quality forecasts: an application of 4DEnVar to the assimilation of atmospheric composition using QG-Chem 1.0 E. Emili et al. 10.5194/gmd-9-3933-2016
- On the Ability of Space-Based Passive and Active Remote Sensing Observations of CO2 to Detect Flux Perturbations to the Carbon Cycle S. Crowell et al. 10.1002/2017JD027836
- Using an Inverse Model to Reconcile Differences in Simulated and Observed Global Ethane Concentrations and Trends Between 2008 and 2014 S. Monks et al. 10.1029/2017JD028112
- Net CO<sub>2</sub> fossil fuel emissions of Tokyo estimated directly from measurements of the Tsukuba TCCON site and radiosondes A. Babenhauserheide et al. 10.5194/amt-13-2697-2020
- Comparison between the Local Ensemble Transform Kalman Filter (LETKF) and 4D‐Var in atmospheric CO 2 flux inversion with the Goddard Earth Observing System‐Chem model and the observation impact diagnostics from the LETKF J. Liu et al. 10.1002/2016JD025100
- Response of the Amazon carbon balance to the 2010 drought derived with CarbonTracker South America I. van der Laan-Luijkx et al. 10.1002/2014GB005082
12 citations as recorded by crossref.
- The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
- A CO-based method to determine the regional biospheric signal in atmospheric CO2 B. Oney et al. 10.1080/16000889.2017.1353388
- Effect of Data Assimilation Parameters on The Optimized Surface CO2 Flux in Asia H. Kim et al. 10.1007/s13143-017-0049-9
- A Surface Ocean CO2 Reference Network, SOCONET and Associated Marine Boundary Layer CO2 Measurements R. Wanninkhof et al. 10.3389/fmars.2019.00400
- The CarbonTracker Data Assimilation Shell (CTDAS) v1.0: implementation and global carbon balance 2001–2015 I. van der Laan-Luijkx et al. 10.5194/gmd-10-2785-2017
- Multi-Year Comparison of CO2 Concentration from NOAA Carbon Tracker Reanalysis Model with Data from GOSAT and OCO-2 over Asia F. Mustafa et al. 10.3390/rs12152498
- The Potential of the Geostationary Carbon Cycle Observatory (GeoCarb) to Provide Multi-scale Constraints on the Carbon Cycle in the Americas B. Moore III et al. 10.3389/fenvs.2018.00109
- Accounting for model error in air quality forecasts: an application of 4DEnVar to the assimilation of atmospheric composition using QG-Chem 1.0 E. Emili et al. 10.5194/gmd-9-3933-2016
- On the Ability of Space-Based Passive and Active Remote Sensing Observations of CO2 to Detect Flux Perturbations to the Carbon Cycle S. Crowell et al. 10.1002/2017JD027836
- Using an Inverse Model to Reconcile Differences in Simulated and Observed Global Ethane Concentrations and Trends Between 2008 and 2014 S. Monks et al. 10.1029/2017JD028112
- Net CO<sub>2</sub> fossil fuel emissions of Tokyo estimated directly from measurements of the Tsukuba TCCON site and radiosondes A. Babenhauserheide et al. 10.5194/amt-13-2697-2020
- Comparison between the Local Ensemble Transform Kalman Filter (LETKF) and 4D‐Var in atmospheric CO 2 flux inversion with the Goddard Earth Observing System‐Chem model and the observation impact diagnostics from the LETKF J. Liu et al. 10.1002/2016JD025100
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Short summary
We compare two different data assimilation systems for estimating sources and sinks of CO_2 from concentration measurements. The systems are CarbonTracker and TM5-4DVar, which have both been used in a number of scientific studies. We analyze the differences between both models as well as the sensitivity of the estimated sources and sinks to the observation coverage. The results provide a lower limit for the uncertainty of surface carbon fluxes with the current measurement network.
We compare two different data assimilation systems for estimating sources and sinks of CO_2 from...
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