Articles | Volume 12, issue 19
https://doi.org/10.5194/acp-12-8979-2012
© Author(s) 2012. 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-12-8979-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
02 Oct 2012
Research article |
| 02 Oct 2012
Comparing Lagrangian and Eulerian models for CO2 transport – a step towards Bayesian inverse modeling using WRF/STILT-VPRM
D. Pillai
Max Planck Institute of Biogeochemistry, 07745 Jena, Germany
now at: Institute of Environmental Physics (IUP), University of Bremen FB1, Otto Hahn Allee 1, 28359 Bremen, Germany
C. Gerbig
Max Planck Institute of Biogeochemistry, 07745 Jena, Germany
R. Kretschmer
Max Planck Institute of Biogeochemistry, 07745 Jena, Germany
V. Beck
Max Planck Institute of Biogeochemistry, 07745 Jena, Germany
U. Karstens
Max Planck Institute of Biogeochemistry, 07745 Jena, Germany
B. Neininger
MetAir AG, Flugplatz, 8915 Hausen am Albis, Switzerland
M. Heimann
Max Planck Institute of Biogeochemistry, 07745 Jena, Germany
Viewed
Total article views: 5,199 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 12 Jan 2012)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,817 | 2,186 | 196 | 5,199 | 145 | 96 |
- HTML: 2,817
- PDF: 2,186
- XML: 196
- Total: 5,199
- BibTeX: 145
- EndNote: 96
Total article views: 4,430 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 02 Oct 2012)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,435 | 1,814 | 181 | 4,430 | 125 | 93 |
- HTML: 2,435
- PDF: 1,814
- XML: 181
- Total: 4,430
- BibTeX: 125
- EndNote: 93
Total article views: 769 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 12 Jan 2012)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 382 | 372 | 15 | 769 | 20 | 3 |
- HTML: 382
- PDF: 372
- XML: 15
- Total: 769
- BibTeX: 20
- EndNote: 3
Cited
32 citations as recorded by crossref.
- The Impact of Shipping on Air Quality in the Port Cities of the Mediterranean Area: A Review D. Toscano 10.3390/atmos14071180
- Joint CO2 Mole Fraction and Flux Analysis Confirms Missing Processes in CASA Terrestrial Carbon Uptake Over North America S. Feng et al. 10.1029/2020GB006914
- Development of the tangent linear and adjoint models of the global online chemical transport model MPAS-CO2 v7.3 T. Zheng et al. 10.5194/gmd-17-1543-2024
- 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 CO-based method to determine the regional biospheric signal in atmospheric CO<sub>2</sub> B. Oney et al. 10.1080/16000889.2017.1353388
- Analysis of CO<sub>2</sub>, CH<sub>4</sub>, and CO surface and column concentrations observed at Réunion Island by assessing WRF-Chem simulations S. Callewaert et al. 10.5194/acp-22-7763-2022
- Investigating seasonal methane emissions in Northern California using airborne measurements and inverse modeling M. Johnson et al. 10.1002/2016JD025157
- Oscillation-free source term inversion of atmospheric radionuclide releases with joint model bias corrections and non-smooth competing priors S. Fang et al. 10.1016/j.jhazmat.2022.129806
- The CarboCount CH sites: characterization of a dense greenhouse gas observation network B. Oney et al. 10.5194/acp-15-11147-2015
- The CO<sub>2</sub> integral emission by the megacity of St Petersburg as quantified from ground-based FTIR measurements combined with dispersion modelling D. Ionov et al. 10.5194/acp-21-10939-2021
- Development of the WRF-CO2 4D-Var assimilation system v1.0 T. Zheng et al. 10.5194/gmd-11-1725-2018
- Characteristics of STILT footprints driven by KIM model simulated meteorological fields: implication for developing near real-time footprints S. Kenea et al. 10.1007/s44273-023-00016-7
- Towards monitoring the CO2 source–sink distribution over India via inverse modelling: quantifying the fine-scale spatiotemporal variability in the atmospheric CO2 mole fraction V. Thilakan et al. 10.5194/acp-22-15287-2022
- A methane monitoring station siting method based on WRF-STILT and genetic algorithm L. Fan et al. 10.3389/fenvs.2024.1394281
- Intercomparison of atmospheric trace gas dispersion models: Barnett Shale case study A. Karion et al. 10.5194/acp-19-2561-2019
- Toward verifying fossil fuel CO2 emissions with the CMAQ model: Motivation, model description and initial simulation Z. Liu et al. 10.1080/10962247.2013.816642
- A review of datasets and methods for deriving spatiotemporal distributions of atmospheric CO2 C. He et al. 10.1016/j.jenvman.2022.116101
- Top‐Down Constraints on Anthropogenic CO2 Emissions Within an Agricultural‐Urban Landscape C. Hu et al. 10.1029/2017JD027881
- Development and evaluation of CO<sub>2</sub> transport in MPAS-A v6.3 T. Zheng et al. 10.5194/gmd-14-3037-2021
- Anthropogenic CO2 emissions from a megacity in the Yangtze River Delta of China C. Hu et al. 10.1007/s11356-018-2325-3
- Analysis of total column CO<sub>2</sub> and CH<sub>4</sub> measurements in Berlin with WRF-GHG X. Zhao et al. 10.5194/acp-19-11279-2019
- Development of a moving point source model for shipping emission dispersion modeling in EPISODE–CityChem v1.3 K. Pan et al. 10.5194/gmd-14-4509-2021
- Diagnostic methods for atmospheric inversions of long-lived greenhouse gases A. Michalak et al. 10.5194/acp-17-7405-2017
- On deriving influences of upwind agricultural and anthropogenic emissions on greenhouse gas concentrations and air quality over Delhi in India: A stochastic Lagrangian footprint approach T. Kariyathan et al. 10.1007/s12040-020-01453-6
- Evaluation of the CALPUFF model performance for the estimation of the urban ecosystem CO2 flux Y. Bezyk et al. 10.1016/j.apr.2020.12.013
- An objective prior error quantification for regional atmospheric inverse applications P. Kountouris et al. 10.5194/bg-12-7403-2015
- Evidence of Carbon Uptake Associated with Vegetation Greening Trends in Eastern China Z. He et al. 10.3390/rs12040718
- Tracking city CO<sub>2</sub> emissions from space using a high-resolution inverse modelling approach: a case study for Berlin, Germany D. Pillai et al. 10.5194/acp-16-9591-2016
- Analysis of CO<sub>2</sub> spatio-temporal variations in China using a weather–biosphere online coupled model X. Dong et al. 10.5194/acp-21-7217-2021
- Spatio‐temporally Resolved Methane Fluxes From the Los Angeles Megacity V. Yadav et al. 10.1029/2018JD030062
- Tracking Carbon Dioxide with Lagrangian Transport Simulations: Case Study of Canadian Forest Fires in May 2021 Y. Liao et al. 10.3390/atmos15040429
- Investigation of the N2O emission strength in the U. S. Corn Belt C. Fu et al. 10.1016/j.atmosres.2017.04.027
32 citations as recorded by crossref.
- The Impact of Shipping on Air Quality in the Port Cities of the Mediterranean Area: A Review D. Toscano 10.3390/atmos14071180
- Joint CO2 Mole Fraction and Flux Analysis Confirms Missing Processes in CASA Terrestrial Carbon Uptake Over North America S. Feng et al. 10.1029/2020GB006914
- Development of the tangent linear and adjoint models of the global online chemical transport model MPAS-CO2 v7.3 T. Zheng et al. 10.5194/gmd-17-1543-2024
- 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 CO-based method to determine the regional biospheric signal in atmospheric CO<sub>2</sub> B. Oney et al. 10.1080/16000889.2017.1353388
- Analysis of CO<sub>2</sub>, CH<sub>4</sub>, and CO surface and column concentrations observed at Réunion Island by assessing WRF-Chem simulations S. Callewaert et al. 10.5194/acp-22-7763-2022
- Investigating seasonal methane emissions in Northern California using airborne measurements and inverse modeling M. Johnson et al. 10.1002/2016JD025157
- Oscillation-free source term inversion of atmospheric radionuclide releases with joint model bias corrections and non-smooth competing priors S. Fang et al. 10.1016/j.jhazmat.2022.129806
- The CarboCount CH sites: characterization of a dense greenhouse gas observation network B. Oney et al. 10.5194/acp-15-11147-2015
- The CO<sub>2</sub> integral emission by the megacity of St Petersburg as quantified from ground-based FTIR measurements combined with dispersion modelling D. Ionov et al. 10.5194/acp-21-10939-2021
- Development of the WRF-CO2 4D-Var assimilation system v1.0 T. Zheng et al. 10.5194/gmd-11-1725-2018
- Characteristics of STILT footprints driven by KIM model simulated meteorological fields: implication for developing near real-time footprints S. Kenea et al. 10.1007/s44273-023-00016-7
- Towards monitoring the CO2 source–sink distribution over India via inverse modelling: quantifying the fine-scale spatiotemporal variability in the atmospheric CO2 mole fraction V. Thilakan et al. 10.5194/acp-22-15287-2022
- A methane monitoring station siting method based on WRF-STILT and genetic algorithm L. Fan et al. 10.3389/fenvs.2024.1394281
- Intercomparison of atmospheric trace gas dispersion models: Barnett Shale case study A. Karion et al. 10.5194/acp-19-2561-2019
- Toward verifying fossil fuel CO2 emissions with the CMAQ model: Motivation, model description and initial simulation Z. Liu et al. 10.1080/10962247.2013.816642
- A review of datasets and methods for deriving spatiotemporal distributions of atmospheric CO2 C. He et al. 10.1016/j.jenvman.2022.116101
- Top‐Down Constraints on Anthropogenic CO2 Emissions Within an Agricultural‐Urban Landscape C. Hu et al. 10.1029/2017JD027881
- Development and evaluation of CO<sub>2</sub> transport in MPAS-A v6.3 T. Zheng et al. 10.5194/gmd-14-3037-2021
- Anthropogenic CO2 emissions from a megacity in the Yangtze River Delta of China C. Hu et al. 10.1007/s11356-018-2325-3
- Analysis of total column CO<sub>2</sub> and CH<sub>4</sub> measurements in Berlin with WRF-GHG X. Zhao et al. 10.5194/acp-19-11279-2019
- Development of a moving point source model for shipping emission dispersion modeling in EPISODE–CityChem v1.3 K. Pan et al. 10.5194/gmd-14-4509-2021
- Diagnostic methods for atmospheric inversions of long-lived greenhouse gases A. Michalak et al. 10.5194/acp-17-7405-2017
- On deriving influences of upwind agricultural and anthropogenic emissions on greenhouse gas concentrations and air quality over Delhi in India: A stochastic Lagrangian footprint approach T. Kariyathan et al. 10.1007/s12040-020-01453-6
- Evaluation of the CALPUFF model performance for the estimation of the urban ecosystem CO2 flux Y. Bezyk et al. 10.1016/j.apr.2020.12.013
- An objective prior error quantification for regional atmospheric inverse applications P. Kountouris et al. 10.5194/bg-12-7403-2015
- Evidence of Carbon Uptake Associated with Vegetation Greening Trends in Eastern China Z. He et al. 10.3390/rs12040718
- Tracking city CO<sub>2</sub> emissions from space using a high-resolution inverse modelling approach: a case study for Berlin, Germany D. Pillai et al. 10.5194/acp-16-9591-2016
- Analysis of CO<sub>2</sub> spatio-temporal variations in China using a weather–biosphere online coupled model X. Dong et al. 10.5194/acp-21-7217-2021
- Spatio‐temporally Resolved Methane Fluxes From the Los Angeles Megacity V. Yadav et al. 10.1029/2018JD030062
- Tracking Carbon Dioxide with Lagrangian Transport Simulations: Case Study of Canadian Forest Fires in May 2021 Y. Liao et al. 10.3390/atmos15040429
- Investigation of the N2O emission strength in the U. S. Corn Belt C. Fu et al. 10.1016/j.atmosres.2017.04.027
Saved (final revised paper)
Saved (preprint)
Latest update: 17 Jul 2024
Altmetrics
Final-revised paper
Preprint