Articles | Volume 10, issue 13
https://doi.org/10.5194/acp-10-6151-2010
© Author(s) 2010. 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-10-6151-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
08 Jul 2010
Regional-scale geostatistical inverse modeling of North American CO2 fluxes: a synthetic data study
S. M. Gourdji
Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI 48109, USA
A. I. Hirsch
National Renewable Energy Laboratory, Golden, CO 80401, USA
K. L. Mueller
Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI 48109, USA
V. Yadav
Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI 48109, USA
A. E. Andrews
Global Monitoring Division, Earth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
A. M. Michalak
Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI 48109, USA
Department of Atmospheric, Oceanic and Space Sciences, University of Michigan, Ann Arbor, MI 48109, USA
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- The utility of continuous atmospheric measurements for identifying biospheric CO2flux variability D. Huntzinger et al. 10.1029/2010JD015048
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- Modeling and validation of on-road CO2 emissions inventories at the urban regional scale M. Brondfield et al. 10.1016/j.envpol.2012.06.003
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- A comparison of different inverse carbon flux estimation approaches for application on a regional domain L. Tolk et al. 10.5194/acp-11-10349-2011
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- U.S. emissions of HFC‐134a derived for 2008–2012 from an extensive flask‐air sampling network L. Hu et al. 10.1002/2014JD022617
- Regional CO2 Inversion Through Ensemble‐Based Simultaneous State and Parameter Estimation: TRACE Framework and Controlled Experiments H. Chen et al. 10.1029/2022MS003208
- Using atmospheric observations to evaluate the spatiotemporal variability of CO<sub>2</sub> fluxes simulated by terrestrial biospheric models Y. Fang et al. 10.5194/bg-11-6985-2014
- A multiresolution spatial parameterization for the estimation of fossil-fuel carbon dioxide emissions via atmospheric inversions J. Ray et al. 10.5194/gmd-7-1901-2014
- Accounting for Transport Error in Inversions: An Urban Synthetic Data Experiment S. Ghosh et al. 10.1029/2020EA001272
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- Constraining the sulfur dioxide degassing flux from Turrialba volcano, Costa Rica using unmanned aerial system measurements X. Xi et al. 10.1016/j.jvolgeores.2016.06.023
- Optimal representation of source-sink fluxes for mesoscale carbon dioxide inversion with synthetic data L. Wu et al. 10.1029/2011JD016198
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- Joint inverse estimation of fossil fuel and biogenic CO2 fluxes in an urban environment: An observing system simulation experiment to assess the impact of multiple uncertainties K. Wu et al. 10.1525/elementa.138
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- North American CO<sub>2</sub> exchange: inter-comparison of modeled estimates with results from a fine-scale atmospheric inversion S. Gourdji et al. 10.5194/bg-9-457-2012
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- Coupled weather research and forecasting–stochastic time-inverted lagrangian transport (WRF–STILT) model T. Nehrkorn et al. 10.1007/s00703-010-0068-x
42 citations as recorded by crossref.
- The influence of carbon exchange of a large lake on regional tracer-transport inversions: results from Lake Superior V. Vasys et al. 10.1088/1748-9326/6/3/034016
- Second-order control of complex systems with correlated synthetic data J. Raimbault 10.1186/s40294-019-0065-y
- Carbon Monoxide Emissions from the Washington, DC, and Baltimore Metropolitan Area: Recent Trend and COVID-19 Anomaly I. Lopez-Coto et al. 10.1021/acs.est.1c06288
- Comparing Lagrangian and Eulerian models for CO<sub>2</sub> transport – a step towards Bayesian inverse modeling using WRF/STILT-VPRM D. Pillai et al. 10.5194/acp-12-8979-2012
- The utility of continuous atmospheric measurements for identifying biospheric CO2flux variability D. Huntzinger et al. 10.1029/2010JD015048
- Improving North American terrestrial CO<sub>2</sub> flux diagnosis using spatial structure in land surface model residuals T. Hilton et al. 10.5194/bg-10-4607-2013
- Modeling and validation of on-road CO2 emissions inventories at the urban regional scale M. Brondfield et al. 10.1016/j.envpol.2012.06.003
- Spatio‐temporally Resolved Methane Fluxes From the Los Angeles Megacity V. Yadav et al. 10.1029/2018JD030062
- A comparison of different inverse carbon flux estimation approaches for application on a regional domain L. Tolk et al. 10.5194/acp-11-10349-2011
- Bayesian statistical modeling of spatially correlated error structure in atmospheric tracer inverse analysis C. Mukherjee et al. 10.5194/acp-11-5365-2011
- U.S. emissions of HFC‐134a derived for 2008–2012 from an extensive flask‐air sampling network L. Hu et al. 10.1002/2014JD022617
- Regional CO2 Inversion Through Ensemble‐Based Simultaneous State and Parameter Estimation: TRACE Framework and Controlled Experiments H. Chen et al. 10.1029/2022MS003208
- Using atmospheric observations to evaluate the spatiotemporal variability of CO<sub>2</sub> fluxes simulated by terrestrial biospheric models Y. Fang et al. 10.5194/bg-11-6985-2014
- A multiresolution spatial parameterization for the estimation of fossil-fuel carbon dioxide emissions via atmospheric inversions J. Ray et al. 10.5194/gmd-7-1901-2014
- Accounting for Transport Error in Inversions: An Urban Synthetic Data Experiment S. Ghosh et al. 10.1029/2020EA001272
- Midwest US Croplands Determine Model Divergence in North American Carbon Fluxes W. Sun et al. 10.1029/2020AV000310
- A global coupled Eulerian-Lagrangian model and 1 × 1 km CO<sub>2</sub> surface flux dataset for high-resolution atmospheric CO<sub>2</sub> transport simulations A. Ganshin et al. 10.5194/gmd-5-231-2012
- Atmospheric observations inform CO2 flux responses to enviroclimatic drivers Y. Fang & A. Michalak 10.1002/2014GB005034
- Diagnostic methods for atmospheric inversions of long-lived greenhouse gases A. Michalak et al. 10.5194/acp-17-7405-2017
- Geostatistical inverse modeling with very large datasets: an example from the Orbiting Carbon Observatory 2 (OCO-2) satellite S. Miller et al. 10.5194/gmd-13-1771-2020
- Quantifying the UK's carbon dioxide flux: an atmospheric inverse modelling approach using a regional measurement network E. White et al. 10.5194/acp-19-4345-2019
- Constraining the CO<sub>2</sub> budget of the corn belt: exploring uncertainties from the assumptions in a mesoscale inverse system T. Lauvaux et al. 10.5194/acp-12-337-2012
- Mission CO2ntrol: A Statistical Scientist's Role in Remote Sensing of Atmospheric Carbon Dioxide N. Cressie 10.1080/01621459.2017.1419136
- Enhanced North American carbon uptake associated with El Niño L. Hu et al. 10.1126/sciadv.aaw0076
- Constraining the sulfur dioxide degassing flux from Turrialba volcano, Costa Rica using unmanned aerial system measurements X. Xi et al. 10.1016/j.jvolgeores.2016.06.023
- Optimal representation of source-sink fluxes for mesoscale carbon dioxide inversion with synthetic data L. Wu et al. 10.1029/2011JD016198
- A statistical approach for isolating fossil fuel emissions in atmospheric inverse problems V. Yadav et al. 10.1002/2016JD025642
- 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
- Linking global terrestrial CO<sub>2</sub> fluxes and environmental drivers: inferences from the Orbiting Carbon Observatory 2 satellite and terrestrial biospheric models Z. Chen et al. 10.5194/acp-21-6663-2021
- Estimating methane emissions in California's urban and rural regions using multitower observations S. Jeong et al. 10.1002/2016JD025404
- Atmospheric CO2 Observations Reveal Strong Correlation Between Regional Net Biospheric Carbon Uptake and Solar‐Induced Chlorophyll Fluorescence Y. Shiga et al. 10.1002/2017GL076630
- Joint inverse estimation of fossil fuel and biogenic CO2 fluxes in an urban environment: An observing system simulation experiment to assess the impact of multiple uncertainties K. Wu et al. 10.1525/elementa.138
- Assessing the magnitude of CO2 flux uncertainty in atmospheric CO2 records using products from NASA's Carbon Monitoring Flux Pilot Project L. Ott et al. 10.1002/2014JD022411
- A decadal inversion of CO<sub>2</sub> using the Global Eulerian–Lagrangian Coupled Atmospheric model (GELCA): sensitivity to the ground-based observation network T. Shirai et al. 10.1080/16000889.2017.1291158
- Calibration of a multi-physics ensemble for estimating the uncertainty of a greenhouse gas atmospheric transport model L. Díaz-Isaac et al. 10.5194/acp-19-5695-2019
- A systematic approach for comparing modeled biospheric carbon fluxes across regional scales D. Huntzinger et al. 10.5194/bg-8-1579-2011
- Intercomparison of atmospheric trace gas dispersion models: Barnett Shale case study A. Karion et al. 10.5194/acp-19-2561-2019
- Stomatal density distribution patterns in leaves of the Jatobá (Hymenaea courbaril L.) G. Martins et al. 10.1007/s00468-011-0620-4
- A backward-time stochastic Lagrangian air quality model D. Wen et al. 10.1016/j.atmosenv.2012.02.042
- Geostatistical inverse modeling for super-resolution mapping of continuous spatial processes J. Wang et al. 10.1016/j.rse.2013.08.007
- North American CO<sub>2</sub> exchange: inter-comparison of modeled estimates with results from a fine-scale atmospheric inversion S. Gourdji et al. 10.5194/bg-9-457-2012
- California dominates U.S. emissions of the pesticide and potent greenhouse gas sulfuryl fluoride D. Gaeta et al. 10.1038/s43247-024-01294-x
2 citations as recorded by crossref.
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