Articles | Volume 15, issue 5
https://doi.org/10.5194/acp-15-2903-2015
© 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/acp-15-2903-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
13 Mar 2015
Research article |
| 13 Mar 2015
Biases in atmospheric CO2 estimates from correlated meteorology modeling errors
Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA
M. N. Hayek
Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA
A. E. Andrews
Global Monitoring Division, Earth Systems Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO, USA
I. Fung
Department of Earth and Planetary Sciences, University of California Berkeley, Berkeley, CA, USA
Earth Science Division, Jet Propulsion Laboratory, NASA, Pasadena, CA, USA
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- Constraining sector-specific CO2 and CH4 emissions in the US S. Miller & A. Michalak https://doi.org/10.5194/acp-17-3963-2017
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- Rapid Evaluation Framework for the CMIP7 Assessment Fast Track F. Hoffman et al. https://doi.org/10.5194/gmd-19-7415-2026
- Atmospheric network requirements to detect policy-driven urban CO2 emission changes I. Albarus et al. https://doi.org/10.1088/1748-9326/ae7b5f
- The CarbonTracker Data Assimilation System for CO2 and δ13C (CTDAS-C13 v1.0): retrieving information on land–atmosphere exchange processes I. van der Velde et al. https://doi.org/10.5194/gmd-11-283-2018
- Calibration of a multi-physics ensemble for estimating the uncertainty of a greenhouse gas atmospheric transport model L. Díaz-Isaac et al. https://doi.org/10.5194/acp-19-5695-2019
- The Resolvable Scales of Regional‐Scale CO2 Transport in the Context of Imperfect Meteorology: The Predictability of CO2 in a Limited‐Area Model J. Kim et al. https://doi.org/10.1029/2021JD034896
- A measurement-based verification framework for UK greenhouse gas emissions: an overview of the Greenhouse gAs Uk and Global Emissions (GAUGE) project P. Palmer et al. https://doi.org/10.5194/acp-18-11753-2018
- Underestimates of methane from intensively raised animals could undermine goals of sustainable development M. Hayek & S. Miller https://doi.org/10.1088/1748-9326/ac02ef
- Diagnosing spatial error structures in CO2 mole fractions and XCO2 column mole fractions from atmospheric transport T. Lauvaux et al. https://doi.org/10.5194/acp-19-12007-2019
- GONGGA-Lagrange: A novel atmospheric carbon inversion system integrating NLS-4DVar assimilation method and the Lagrangian particle dispersion model X. Yang et al. https://doi.org/10.1016/j.jclepro.2026.149198
- Characterizing biospheric carbon balance using CO2 observations from the OCO-2 satellite S. Miller et al. https://doi.org/10.5194/acp-18-6785-2018
- Characterization of Regional‐Scale CO2 Transport Uncertainties in an Ensemble with Flow‐Dependent Transport Errors H. Chen et al. https://doi.org/10.1029/2018GL081341
- Bayesian atmospheric tomography for detection and quantification of methane emissions: application to data from the 2015 Ginninderra release experiment L. Cartwright et al. https://doi.org/10.5194/amt-12-4659-2019
- Constraining Fossil Fuel CO2 Emissions From Urban Area Using OCO‐2 Observations of Total Column CO2 X. Ye et al. https://doi.org/10.1029/2019JD030528
- Estimation of observation errors for large-scale atmospheric inversion of CO<sub>2</sub> emissions from fossil fuel combustion Y. Wang et al. https://doi.org/10.1080/16000889.2017.1325723
- A meteorologically adjusted ensemble Kalman filter approach for inversing daily emissions: A case study in the Pearl River Delta, China G. Jia et al. https://doi.org/10.1016/j.jes.2021.08.048
- Potential of European 14CO2 observation network to estimate the fossil fuel CO2 emissions via atmospheric inversions Y. Wang et al. https://doi.org/10.5194/acp-18-4229-2018
- Coupling the Canadian Terrestrial Ecosystem Model (CTEM v. 2.0) to Environment and Climate Change Canada's greenhouse gas forecast model (v.107-glb) B. Badawy et al. https://doi.org/10.5194/gmd-11-631-2018
- Jet Stream‐Surface Tracer Relationships: Mechanism and Sensitivity to Source Region G. Kerr et al. https://doi.org/10.1029/2020GL090714
- 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
- The Canadian atmospheric transport model for simulating greenhouse gas evolution on regional scales: GEM–MACH–GHG v.137-reg J. Kim et al. https://doi.org/10.5194/gmd-13-269-2020
- Constraining sector-specific CO2 and CH4 emissions in the US S. Miller & A. Michalak https://doi.org/10.5194/acp-17-3963-2017
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