Articles | Volume 21, issue 2
https://doi.org/10.5194/acp-21-1245-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-1245-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Technical note
| 
29 Jan 2021
Technical note |
| 29 Jan 2021
| 29 Jan 2021
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
National Institute for Environmental Studies, Tsukuba, Japan
Tomohiro Oda
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Universities Space Research Association, Columbia, MD, USA
Makoto Saito
National Institute for Environmental Studies, Tsukuba, Japan
Rajesh Janardanan
National Institute for Environmental Studies, Tsukuba, Japan
Dmitry Belikov
National Institute for Environmental Studies, Tsukuba, Japan
now at: Center for Environmental Remote Sensing, Chiba University, Chiba, Japan
Johannes W. Kaiser
Deutscher Wetterdienst, Offenbach, Germany
Ruslan Zhuravlev
Central Aerological Observatory, Dolgoprudny, Russia
Alexander Ganshin
Central Aerological Observatory, Dolgoprudny, Russia
Vinu K. Valsala
Indian Institute of Tropical Meteorology, Pune, India
Arlyn Andrews
Earth System Research Laboratory, NOAA, Boulder, CO, USA
Lukasz Chmura
Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Krakow, Poland
Edward Dlugokencky
Earth System Research Laboratory, NOAA, Boulder, CO, USA
László Haszpra
Research Centre for Astronomy and Earth Sciences, Sopron, Hungary
Ray L. Langenfelds
Climate Science Centre, CSIRO Oceans and Atmosphere, Aspendale, VIC, Australia
Toshinobu Machida
National Institute for Environmental Studies, Tsukuba, Japan
Takakiyo Nakazawa
Center for Atmospheric and Oceanic Studies, Tohoku University, Sendai, Japan
Michel Ramonet
Laboratoire des Sciences du Climat et de l'Environnement, LSCE-IPSL, Gif-sur-Yvette, France
Colm Sweeney
Earth System Research Laboratory, NOAA, Boulder, CO, USA
Douglas Worthy
Environment and Climate Change Canada, Climate Research Division,
Toronto, Ontario, Canada
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Cited
39 citations as recorded by crossref.
- Quantifying the annual atmospheric CO2 burden from biomass burning and its transport time to monitoring sites P. Musaid et al.
- Methane emissions from Australia estimated by inverse analysis using in-situ and Satellite (GOSAT) atmospheric observations F. Wang et al.
- Global Carbon Budget 2024 P. Friedlingstein et al.
- Global Carbon Budget 2025 P. Friedlingstein et al.
- Assumptions about prior fossil fuel inventories impact our ability to estimate posterior net CO2 fluxes that are needed for verifying national inventories T. Oda et al.
- Regional estimation of methane emissions over the peninsular India using atmospheric inverse modelling A. Raju et al.
- National CO2 budgets (2015–2020) inferred from atmospheric CO2 observations in support of the global stocktake B. Byrne et al.
- Analysis of Regional Surface CO2 Fluxes Using the MEGA Satellite Data Assimilation System L. Hu et al.
- An inter-comparison of inverse models for estimating European CH4 emissions E. Ioannidis et al.
- Simulating CO2 profiles using NIES TM and comparison with HIAPER Pole-to-Pole Observations C. Song et al.
- High-Resolution Inversion of GOSAT-2 Retrievals for Sectoral Methane Emission Estimates During 2019–2022: A Consistency Analysis with GOSAT Inversion R. Janardanan et al.
- Indian Land Carbon Sink Estimated from Surface and GOSAT Observations L. Nayagam et al.
- The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019 A. Petrescu et al.
- Anomalous Net Biome Exchange Over Amazonian Rainforests Induced by the 2015/16 El Niño: Soil Dryness‐Shaped Spatial Pattern but Temperature‐dominated Total Flux J. Wang et al.
- Assessing the accuracy of meteorological transport model ensemble towards estimating Indian carbon fluxes T. Anna Mathew et al.
- Quantification of Enhancement in Atmospheric CO2 Background Due to Indian Biospheric Fluxes and Fossil Fuel Emissions S. Halder et al.
- Examining partial-column density retrieval of lower-tropospheric CO2 from GOSAT target observations over global megacities A. Kuze et al.
- Toward High‐Resolution Global Atmospheric Inverse Modeling Using Graphics Accelerators F. Chevallier et al.
- Comparison of СO<sub>2</sub> Content in the Atmosphere of St. Petersburg According to Numerical Modelling and Observations G. Nerobelov et al.
- Estimating methane emissions in the Arctic nations using surface observations from 2008 to 2019 S. Wittig et al.
- Comparison of CO2 Content in the Atmosphere of St. Petersburg According to Numerical Modeling and Observations G. Nerobelov et al.
- The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2017 A. Petrescu et al.
- Bottom–Up Inventory of Residential Combustion Emissions in Poland for National Air Quality Modelling: Current Status and Perspectives L. Gawuc et al.
- Global greenhouse gas reconciliation 2022 Z. Deng et al.
- Tracking and Quantifying Fossil Fuel CO2 Emissions by Radiocarbon (14C): A Review S. Cui et al.
- Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions Z. Deng et al.
- Spatial Cross-Correlation of GOSAT CO2 Concentration with Repeated Heat Wave-Induced Photosynthetic Inhibition in Europe from 2009 to 2017 Y. Hwang et al.
- Monitoring and modeling seasonally varying anthropogenic and biogenic CO2 over a large tropical metropolitan area R. Alberti et al.
- A top-down estimation of subnational CO2 budget using a global high-resolution inverse model with data from regional surface networks L. Nayagam et al.
- Canadian net forest CO2 uptake enhanced by heat drought via reduced respiration G. Dong et al.
- The MAPM (Mapping Air Pollution eMissions) method for inferring particulate matter emissions maps at city scale from in situ concentration measurements: description and demonstration of capability B. Nathan et al.
- Assessment of methane emissions from oil, gas and coal sectors across inventories and atmospheric inversions K. Tibrewal et al.
- Improved Constraints on the Recent Terrestrial Carbon Sink Over China by Assimilating OCO‐2 XCO2 Retrievals W. He et al.
- The Atmospheric Potential Oxygen forward Model Intercomparison Project (APO-MIP1): evaluating simulated atmospheric transport of air-sea gas exchange tracers and APO flux products Y. Jin et al.
- Global Methane Budget 2000–2020 M. Saunois et al.
- Усовершенствованный инверсионный метод восстановления потоков CO2 над территориями со сложным рельефом на основе атмосферных измерений . Мухартова et al.
- High-Resolution Bayesian Inversion of Carbon Dioxide Flux Over Peninsular India S. Sijikumar et al.
- 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.
- Method of measuring atmospheric CO<sub>2</sub> based on Fabry-Perot interferometer S. Wang et al.
39 citations as recorded by crossref.
- Quantifying the annual atmospheric CO2 burden from biomass burning and its transport time to monitoring sites P. Musaid et al.
- Methane emissions from Australia estimated by inverse analysis using in-situ and Satellite (GOSAT) atmospheric observations F. Wang et al.
- Global Carbon Budget 2024 P. Friedlingstein et al.
- Global Carbon Budget 2025 P. Friedlingstein et al.
- Assumptions about prior fossil fuel inventories impact our ability to estimate posterior net CO2 fluxes that are needed for verifying national inventories T. Oda et al.
- Regional estimation of methane emissions over the peninsular India using atmospheric inverse modelling A. Raju et al.
- National CO2 budgets (2015–2020) inferred from atmospheric CO2 observations in support of the global stocktake B. Byrne et al.
- Analysis of Regional Surface CO2 Fluxes Using the MEGA Satellite Data Assimilation System L. Hu et al.
- An inter-comparison of inverse models for estimating European CH4 emissions E. Ioannidis et al.
- Simulating CO2 profiles using NIES TM and comparison with HIAPER Pole-to-Pole Observations C. Song et al.
- High-Resolution Inversion of GOSAT-2 Retrievals for Sectoral Methane Emission Estimates During 2019–2022: A Consistency Analysis with GOSAT Inversion R. Janardanan et al.
- Indian Land Carbon Sink Estimated from Surface and GOSAT Observations L. Nayagam et al.
- The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019 A. Petrescu et al.
- Anomalous Net Biome Exchange Over Amazonian Rainforests Induced by the 2015/16 El Niño: Soil Dryness‐Shaped Spatial Pattern but Temperature‐dominated Total Flux J. Wang et al.
- Assessing the accuracy of meteorological transport model ensemble towards estimating Indian carbon fluxes T. Anna Mathew et al.
- Quantification of Enhancement in Atmospheric CO2 Background Due to Indian Biospheric Fluxes and Fossil Fuel Emissions S. Halder et al.
- Examining partial-column density retrieval of lower-tropospheric CO2 from GOSAT target observations over global megacities A. Kuze et al.
- Toward High‐Resolution Global Atmospheric Inverse Modeling Using Graphics Accelerators F. Chevallier et al.
- Comparison of СO<sub>2</sub> Content in the Atmosphere of St. Petersburg According to Numerical Modelling and Observations G. Nerobelov et al.
- Estimating methane emissions in the Arctic nations using surface observations from 2008 to 2019 S. Wittig et al.
- Comparison of CO2 Content in the Atmosphere of St. Petersburg According to Numerical Modeling and Observations G. Nerobelov et al.
- The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2017 A. Petrescu et al.
- Bottom–Up Inventory of Residential Combustion Emissions in Poland for National Air Quality Modelling: Current Status and Perspectives L. Gawuc et al.
- Global greenhouse gas reconciliation 2022 Z. Deng et al.
- Tracking and Quantifying Fossil Fuel CO2 Emissions by Radiocarbon (14C): A Review S. Cui et al.
- Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions Z. Deng et al.
- Spatial Cross-Correlation of GOSAT CO2 Concentration with Repeated Heat Wave-Induced Photosynthetic Inhibition in Europe from 2009 to 2017 Y. Hwang et al.
- Monitoring and modeling seasonally varying anthropogenic and biogenic CO2 over a large tropical metropolitan area R. Alberti et al.
- A top-down estimation of subnational CO2 budget using a global high-resolution inverse model with data from regional surface networks L. Nayagam et al.
- Canadian net forest CO2 uptake enhanced by heat drought via reduced respiration G. Dong et al.
- The MAPM (Mapping Air Pollution eMissions) method for inferring particulate matter emissions maps at city scale from in situ concentration measurements: description and demonstration of capability B. Nathan et al.
- Assessment of methane emissions from oil, gas and coal sectors across inventories and atmospheric inversions K. Tibrewal et al.
- Improved Constraints on the Recent Terrestrial Carbon Sink Over China by Assimilating OCO‐2 XCO2 Retrievals W. He et al.
- The Atmospheric Potential Oxygen forward Model Intercomparison Project (APO-MIP1): evaluating simulated atmospheric transport of air-sea gas exchange tracers and APO flux products Y. Jin et al.
- Global Methane Budget 2000–2020 M. Saunois et al.
- Усовершенствованный инверсионный метод восстановления потоков CO2 над территориями со сложным рельефом на основе атмосферных измерений . Мухартова et al.
- High-Resolution Bayesian Inversion of Carbon Dioxide Flux Over Peninsular India S. Sijikumar et al.
- 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.
- Method of measuring atmospheric CO<sub>2</sub> based on Fabry-Perot interferometer S. Wang et al.
Saved (final revised paper)
Latest update: 18 May 2026
Short summary
In order to improve the top-down estimation of the anthropogenic greenhouse gas emissions, a high-resolution inverse modelling technique was developed for applications to global transport modelling of carbon dioxide and other greenhouse gases. A coupled Eulerian–Lagrangian transport model and its adjoint are combined with surface fluxes at 0.1° resolution to provide high-resolution forward simulation and inverse modelling of surface fluxes accounting for signals from emission hot spots.
In order to improve the top-down estimation of the anthropogenic greenhouse gas emissions, a...
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