Articles | Volume 5, issue 1
https://doi.org/10.5194/gmd-5-231-2012
© 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/gmd-5-231-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
15 Feb 2012
Development and technical paper |
| 15 Feb 2012
A global coupled Eulerian-Lagrangian model and 1 × 1 km CO2 surface flux dataset for high-resolution atmospheric CO2 transport simulations
A. Ganshin
Central Aerological Observatory, Dolgoprudny, Russia
T. Oda
Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan
now at: Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, USA/National Oceanic and Atmosphere Administration, Earth System Research Laboratory, Boulder, USA
M. Saito
Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan
now at: LSCE, Gif Sur Yvette, France
S. Maksyutov
Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan
V. Valsala
Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan
now at: CAT/ESSC, Indian Institute of Tropical Meteorology, Pune, India
R. J. Andres
Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge, USA
R. E. Fisher
Department of Earth Sciences, Royal Holloway, University of London, London, UK
D. Lowry
Department of Earth Sciences, Royal Holloway, University of London, London, UK
A. Lukyanov
Central Aerological Observatory, Dolgoprudny, Russia
H. Matsueda
Meteorological Research Institute, Tsukuba, Japan
E. G. Nisbet
Department of Earth Sciences, Royal Holloway, University of London, London, UK
M. Rigby
School of Chemistry, University of Bristol, Bristol, BS8 1TS, UK
Y. Sawa
Meteorological Research Institute, Tsukuba, Japan
R. Toumi
Department of Physics, Imperial Collage London, London, UK
K. Tsuboi
Meteorological Research Institute, Tsukuba, Japan
A. Varlagin
A.N. Severtsov Institute of Ecology and Evolution, Russia
Russian State Agrarian University – Moscow Timiryazev Agricultural Academy, Russia
R. Zhuravlev
Central Aerological Observatory, Dolgoprudny, Russia
Viewed
Total article views: 5,749 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 24 Aug 2011)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,954 | 2,521 | 274 | 5,749 | 249 | 217 |
- HTML: 2,954
- PDF: 2,521
- XML: 274
- Total: 5,749
- BibTeX: 249
- EndNote: 217
Total article views: 4,931 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 15 Feb 2012)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,677 | 1,998 | 256 | 4,931 | 237 | 208 |
- HTML: 2,677
- PDF: 1,998
- XML: 256
- Total: 4,931
- BibTeX: 237
- EndNote: 208
Total article views: 818 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 24 Aug 2011)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 277 | 523 | 18 | 818 | 12 | 9 |
- HTML: 277
- PDF: 523
- XML: 18
- Total: 818
- BibTeX: 12
- EndNote: 9
Cited
28 citations as recorded by crossref.
- Evaluating nighttime lights and population distribution as proxies for mapping anthropogenic CO2emission in Vietnam, Cambodia and Laos A. Gaughan et al. 10.1088/2515-7620/ab3d91
- Country-Scale Analysis of Methane Emissions with a High-Resolution Inverse Model Using GOSAT and Surface Observations R. Janardanan et al. 10.3390/rs12030375
- Adjoint of the global Eulerian–Lagrangian coupled atmospheric transport model (A-GELCA v1.0): development and validation D. Belikov et al. 10.5194/gmd-9-749-2016
- Analyzing the impact of three-dimensional building structure on CO2 emissions based on random forest regression J. Lin et al. 10.1016/j.energy.2021.121502
- Atmospheric observations suggest methane emissions in north-eastern China growing with natural gas use F. Wang et al. 10.1038/s41598-022-19462-4
- Inter-annual variability of summertime CO 2 exchange in Northern Eurasia inferred from GOSAT XCO 2 M. Ishizawa et al. 10.1088/1748-9326/11/10/105001
- Temporal changes in the emissions of CH4 and CO from China estimated from CH4 / CO2 and CO / CO2 correlations observed at Hateruma Island Y. Tohjima et al. 10.5194/acp-14-1663-2014
- Simulation of contribution of continental anthropogenic sources to variations in the CO2 concentration during winter period on Hateruma Island A. Ganshin et al. 10.1134/S1024856013010089
- Assessment of Anthropogenic Methane Emissions over Large Regions Based on GOSAT Observations and High Resolution Transport Modeling R. Janardanan et al. 10.3390/rs9090941
- The Open-source Data Inventory for Anthropogenic CO2, version 2016 (ODIAC2016): a global monthly fossil fuel CO2 gridded emissions data product for tracer transport simulations and surface flux inversions T. Oda et al. 10.5194/essd-10-87-2018
- Methane Emission Estimates by the Global High-Resolution Inverse Model Using National Inventories F. Wang et al. 10.3390/rs11212489
- Interannual variability on methane emissions in monsoon Asia derived from GOSAT and surface observations F. Wang et al. 10.1088/1748-9326/abd352
- Global Lagrangian Atmospheric Dispersion Model A. Lukyanov et al. 10.1134/S0001433815040076
- 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
- A comprehensive evaluation of the use of Lagrangian particle dispersion models for inverse modeling of greenhouse gas emissions M. Vojta et al. 10.5194/gmd-15-8295-2022
- Examining partial-column density retrieval of lower-tropospheric CO2 from GOSAT target observations over global megacities A. Kuze et al. 10.1016/j.rse.2022.112966
- Country-level methane emissions and their sectoral trends during 2009–2020 estimated by high-resolution inversion of GOSAT and surface observations R. Janardanan et al. 10.1088/1748-9326/ad2436
- Estimation of global CO2 fluxes using ground-based and satellite (GOSAT) observation data with empirical orthogonal functions R. Zhuravlev et al. 10.1134/S1024856013060158
- The potential of CO2 satellite monitoring for climate governance: A review G. Pan et al. 10.1016/j.jenvman.2020.111423
- Column-averaged CO2 concentrations in the subarctic from GOSAT retrievals and NIES transport model simulations D. Belikov et al. 10.1016/j.polar.2014.02.002
- Comparing GOSAT observations of localized CO2 enhancements by large emitters with inventory‐based estimates R. Janardanan et al. 10.1002/2016GL067843
- Errors and uncertainties in a gridded carbon dioxide emissions inventory T. Oda et al. 10.1007/s11027-019-09877-2
- Technical note: A high-resolution inverse modelling technique for estimating surface CO2 fluxes based on the NIES-TM–FLEXPART coupled transport model and its adjoint S. Maksyutov et al. 10.5194/acp-21-1245-2021
- An intercomparison of inverse models for estimating sources and sinks of CO2 using GOSAT measurements S. Houweling et al. 10.1002/2014JD022962
- A multi-model approach to monitor emissions of CO2 and CO from an urban–industrial complex I. Super et al. 10.5194/acp-17-13297-2017
- Accounting for the vertical distribution of emissions in atmospheric CO2 simulations D. Brunner et al. 10.5194/acp-19-4541-2019
- The terrestrial carbon budget of South and Southeast Asia M. Cervarich et al. 10.1088/1748-9326/11/10/105006
- Estimating Trends and Variation of Net Biome Productivity in India for 1980–2012 Using a Land Surface Model S. Gahlot et al. 10.1002/2017GL075777
26 citations as recorded by crossref.
- Evaluating nighttime lights and population distribution as proxies for mapping anthropogenic CO2emission in Vietnam, Cambodia and Laos A. Gaughan et al. 10.1088/2515-7620/ab3d91
- Country-Scale Analysis of Methane Emissions with a High-Resolution Inverse Model Using GOSAT and Surface Observations R. Janardanan et al. 10.3390/rs12030375
- Adjoint of the global Eulerian–Lagrangian coupled atmospheric transport model (A-GELCA v1.0): development and validation D. Belikov et al. 10.5194/gmd-9-749-2016
- Analyzing the impact of three-dimensional building structure on CO2 emissions based on random forest regression J. Lin et al. 10.1016/j.energy.2021.121502
- Atmospheric observations suggest methane emissions in north-eastern China growing with natural gas use F. Wang et al. 10.1038/s41598-022-19462-4
- Inter-annual variability of summertime CO 2 exchange in Northern Eurasia inferred from GOSAT XCO 2 M. Ishizawa et al. 10.1088/1748-9326/11/10/105001
- Temporal changes in the emissions of CH4 and CO from China estimated from CH4 / CO2 and CO / CO2 correlations observed at Hateruma Island Y. Tohjima et al. 10.5194/acp-14-1663-2014
- Simulation of contribution of continental anthropogenic sources to variations in the CO2 concentration during winter period on Hateruma Island A. Ganshin et al. 10.1134/S1024856013010089
- Assessment of Anthropogenic Methane Emissions over Large Regions Based on GOSAT Observations and High Resolution Transport Modeling R. Janardanan et al. 10.3390/rs9090941
- The Open-source Data Inventory for Anthropogenic CO2, version 2016 (ODIAC2016): a global monthly fossil fuel CO2 gridded emissions data product for tracer transport simulations and surface flux inversions T. Oda et al. 10.5194/essd-10-87-2018
- Methane Emission Estimates by the Global High-Resolution Inverse Model Using National Inventories F. Wang et al. 10.3390/rs11212489
- Interannual variability on methane emissions in monsoon Asia derived from GOSAT and surface observations F. Wang et al. 10.1088/1748-9326/abd352
- Global Lagrangian Atmospheric Dispersion Model A. Lukyanov et al. 10.1134/S0001433815040076
- 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
- A comprehensive evaluation of the use of Lagrangian particle dispersion models for inverse modeling of greenhouse gas emissions M. Vojta et al. 10.5194/gmd-15-8295-2022
- Examining partial-column density retrieval of lower-tropospheric CO2 from GOSAT target observations over global megacities A. Kuze et al. 10.1016/j.rse.2022.112966
- Country-level methane emissions and their sectoral trends during 2009–2020 estimated by high-resolution inversion of GOSAT and surface observations R. Janardanan et al. 10.1088/1748-9326/ad2436
- Estimation of global CO2 fluxes using ground-based and satellite (GOSAT) observation data with empirical orthogonal functions R. Zhuravlev et al. 10.1134/S1024856013060158
- The potential of CO2 satellite monitoring for climate governance: A review G. Pan et al. 10.1016/j.jenvman.2020.111423
- Column-averaged CO2 concentrations in the subarctic from GOSAT retrievals and NIES transport model simulations D. Belikov et al. 10.1016/j.polar.2014.02.002
- Comparing GOSAT observations of localized CO2 enhancements by large emitters with inventory‐based estimates R. Janardanan et al. 10.1002/2016GL067843
- Errors and uncertainties in a gridded carbon dioxide emissions inventory T. Oda et al. 10.1007/s11027-019-09877-2
- Technical note: A high-resolution inverse modelling technique for estimating surface CO2 fluxes based on the NIES-TM–FLEXPART coupled transport model and its adjoint S. Maksyutov et al. 10.5194/acp-21-1245-2021
- An intercomparison of inverse models for estimating sources and sinks of CO2 using GOSAT measurements S. Houweling et al. 10.1002/2014JD022962
- A multi-model approach to monitor emissions of CO2 and CO from an urban–industrial complex I. Super et al. 10.5194/acp-17-13297-2017
- Accounting for the vertical distribution of emissions in atmospheric CO2 simulations D. Brunner et al. 10.5194/acp-19-4541-2019
Saved (final revised paper)
Latest update: 31 Mar 2025
