Articles | Volume 15, issue 17
https://doi.org/10.5194/acp-15-9765-2015
© 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-15-9765-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
01 Sep 2015
Research article |
| 01 Sep 2015
Sensitivity of the recent methane budget to LMDz sub-grid-scale physical parameterizations
R. Locatelli
CORRESPONDING AUTHOR
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), Gif sur Yvette, France
P. Bousquet
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), Gif sur Yvette, France
M. Saunois
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), Gif sur Yvette, France
F. Chevallier
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), Gif sur Yvette, France
C. Cressot
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), Gif sur Yvette, France
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Cited
38 citations as recorded by crossref.
- Evaluation of column-averaged methane in models and TCCON with a focus on the stratosphere A. Ostler et al. https://doi.org/10.5194/amt-9-4843-2016
- Variational regional inverse modeling of reactive species emissions with PYVAR-CHIMERE-v2019 A. Fortems-Cheiney et al. https://doi.org/10.5194/gmd-14-2939-2021
- Investigation of the renewed methane growth post-2007 with high-resolution 3-D variational inverse modeling and isotopic constraints J. Thanwerdas et al. https://doi.org/10.5194/acp-24-2129-2024
- Why methane surged in the atmosphere during the early 2020s P. Ciais et al. https://doi.org/10.1126/science.adx8262
- Accelerating methane growth rate from 2010 to 2017: leading contributions from the tropics and East Asia Y. Yin et al. https://doi.org/10.5194/acp-21-12631-2021
- Enhanced methane emissions from tropical wetlands during the 2011 La Niña S. Pandey et al. https://doi.org/10.1038/srep45759
- Wetland emission and atmospheric sink changes explain methane growth in 2020 S. Peng et al. https://doi.org/10.1038/s41586-022-05447-w
- Complementing XCO2 imagery with ground-based CO2 and 14CO2 measurements to monitor CO2 emissions from fossil fuels on a regional to local scale E. Potier et al. https://doi.org/10.5194/amt-15-5261-2022
- Global Methane Budget 2000–2020 M. Saunois et al. https://doi.org/10.5194/essd-17-1873-2025
- Detectability of Arctic methane sources at six sites performing continuous atmospheric measurements T. Thonat et al. https://doi.org/10.5194/acp-17-8371-2017
- Global inverse modeling of CH4 sources and sinks: an overview of methods S. Houweling et al. https://doi.org/10.5194/acp-17-235-2017
- Variability and quasi-decadal changes in the methane budget over the period 2000–2012 M. Saunois et al. https://doi.org/10.5194/acp-17-11135-2017
- Decadal Methane Emission Trend Inferred from Proxy GOSAT XCH4 Retrievals: Impacts of Transport Model Spatial Resolution S. Zhu et al. https://doi.org/10.1007/s00376-022-1434-6
- Global atmospheric CO2 inverse models converging on neutral tropical land exchange, but disagreeing on fossil fuel and atmospheric growth rate B. Gaubert et al. https://doi.org/10.5194/bg-16-117-2019
- Net carbon emissions from African biosphere dominate pan-tropical atmospheric CO2 signal P. Palmer et al. https://doi.org/10.1038/s41467-019-11097-w
- Contributions of the troposphere and stratosphere to CH4 model biases Z. Wang et al. https://doi.org/10.5194/acp-17-13283-2017
- On the impact of recent developments of the LMDz atmospheric general circulation model on the simulation of CO2 transport M. Remaud et al. https://doi.org/10.5194/gmd-11-4489-2018
- The global methane budget 2000–2012 M. Saunois et al. https://doi.org/10.5194/essd-8-697-2016
- U.S. CH4 emissions from oil and gas production: Have recent large increases been detected? L. Bruhwiler et al. https://doi.org/10.1002/2016JD026157
- Investigating sources of variability and error in simulations of carbon dioxide in an urban region C. Martin et al. https://doi.org/10.1016/j.atmosenv.2018.11.013
- Multi‐Season Evaluation of CO2 Weather in OCO‐2 MIP Models L. Zhang et al. https://doi.org/10.1029/2021JD035457
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- A 1-D model to retrieve the vertical profiles of minor atmospheric constituents for cloud microphysical modeling: I. Formulation and validation K. Patnaik et al. https://doi.org/10.1016/j.scitotenv.2023.163360
- Carbon monoxide total column retrievals from TROPOMI shortwave infrared measurements J. Landgraf et al. https://doi.org/10.5194/amt-9-4955-2016
- Use of Assimilation Analysis in 4D-Var Source Inversion: Observing System Simulation Experiments (OSSEs) with GOSAT Methane and Hemispheric CMAQ S. Voshtani et al. https://doi.org/10.3390/atmos14040758
- Characterizing model errors in chemical transport modeling of methane: using GOSAT XCH4 data with weak-constraint four-dimensional variational data assimilation I. Stanevich et al. https://doi.org/10.5194/acp-21-9545-2021
- Recent methane surges reveal heightened emissions from tropical inundated areas X. Lin et al. https://doi.org/10.1038/s41467-024-55266-y
- Simulating CH4 and CO2 over South and East Asia using the zoomed chemistry transport model LMDz-INCA X. Lin et al. https://doi.org/10.5194/acp-18-9475-2018
- Error Budget of the MEthane Remote LIdar missioN and Its Impact on the Uncertainties of the Global Methane Budget P. Bousquet et al. https://doi.org/10.1029/2018JD028907
- Influences of Uncertainties in the STT Flux on Modeled Tropospheric Methane Z. Wang https://doi.org/10.1029/2023JD039107
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- MERLIN: A French-German Space Lidar Mission Dedicated to Atmospheric Methane G. Ehret et al. https://doi.org/10.3390/rs9101052
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- Diagnosing Mixing Properties in Model Simulations for CH4 in the Stratosphere Z. Wang et al. https://doi.org/10.1029/2020JD032524
- The Global Methane Budget 2000–2017 M. Saunois et al. https://doi.org/10.5194/essd-12-1561-2020
- Characterizing model errors in chemical transport modeling of methane: impact of model resolution in versions v9-02 of GEOS-Chem and v35j of its adjoint model I. Stanevich et al. https://doi.org/10.5194/gmd-13-3839-2020
- Comparative Review of Global Methane Budget Estimation: Top-Down, Bottom-Up, and Integrated Approaches B. Alem et al. https://doi.org/10.3390/rs18091336
- Diagnostic methods for atmospheric inversions of long-lived greenhouse gases A. Michalak et al. https://doi.org/10.5194/acp-17-7405-2017
38 citations as recorded by crossref.
- Evaluation of column-averaged methane in models and TCCON with a focus on the stratosphere A. Ostler et al. https://doi.org/10.5194/amt-9-4843-2016
- Variational regional inverse modeling of reactive species emissions with PYVAR-CHIMERE-v2019 A. Fortems-Cheiney et al. https://doi.org/10.5194/gmd-14-2939-2021
- Investigation of the renewed methane growth post-2007 with high-resolution 3-D variational inverse modeling and isotopic constraints J. Thanwerdas et al. https://doi.org/10.5194/acp-24-2129-2024
- Why methane surged in the atmosphere during the early 2020s P. Ciais et al. https://doi.org/10.1126/science.adx8262
- Accelerating methane growth rate from 2010 to 2017: leading contributions from the tropics and East Asia Y. Yin et al. https://doi.org/10.5194/acp-21-12631-2021
- Enhanced methane emissions from tropical wetlands during the 2011 La Niña S. Pandey et al. https://doi.org/10.1038/srep45759
- Wetland emission and atmospheric sink changes explain methane growth in 2020 S. Peng et al. https://doi.org/10.1038/s41586-022-05447-w
- Complementing XCO2 imagery with ground-based CO2 and 14CO2 measurements to monitor CO2 emissions from fossil fuels on a regional to local scale E. Potier et al. https://doi.org/10.5194/amt-15-5261-2022
- Global Methane Budget 2000–2020 M. Saunois et al. https://doi.org/10.5194/essd-17-1873-2025
- Detectability of Arctic methane sources at six sites performing continuous atmospheric measurements T. Thonat et al. https://doi.org/10.5194/acp-17-8371-2017
- Global inverse modeling of CH4 sources and sinks: an overview of methods S. Houweling et al. https://doi.org/10.5194/acp-17-235-2017
- Variability and quasi-decadal changes in the methane budget over the period 2000–2012 M. Saunois et al. https://doi.org/10.5194/acp-17-11135-2017
- Decadal Methane Emission Trend Inferred from Proxy GOSAT XCH4 Retrievals: Impacts of Transport Model Spatial Resolution S. Zhu et al. https://doi.org/10.1007/s00376-022-1434-6
- Global atmospheric CO2 inverse models converging on neutral tropical land exchange, but disagreeing on fossil fuel and atmospheric growth rate B. Gaubert et al. https://doi.org/10.5194/bg-16-117-2019
- Net carbon emissions from African biosphere dominate pan-tropical atmospheric CO2 signal P. Palmer et al. https://doi.org/10.1038/s41467-019-11097-w
- Contributions of the troposphere and stratosphere to CH4 model biases Z. Wang et al. https://doi.org/10.5194/acp-17-13283-2017
- On the impact of recent developments of the LMDz atmospheric general circulation model on the simulation of CO2 transport M. Remaud et al. https://doi.org/10.5194/gmd-11-4489-2018
- The global methane budget 2000–2012 M. Saunois et al. https://doi.org/10.5194/essd-8-697-2016
- U.S. CH4 emissions from oil and gas production: Have recent large increases been detected? L. Bruhwiler et al. https://doi.org/10.1002/2016JD026157
- Investigating sources of variability and error in simulations of carbon dioxide in an urban region C. Martin et al. https://doi.org/10.1016/j.atmosenv.2018.11.013
- Multi‐Season Evaluation of CO2 Weather in OCO‐2 MIP Models L. Zhang et al. https://doi.org/10.1029/2021JD035457
- Variational inverse modeling within the Community Inversion Framework v1.1 to assimilate δ13C(CH4) and CH4: a case study with model LMDz-SACS J. Thanwerdas et al. https://doi.org/10.5194/gmd-15-4831-2022
- A 1-D model to retrieve the vertical profiles of minor atmospheric constituents for cloud microphysical modeling: I. Formulation and validation K. Patnaik et al. https://doi.org/10.1016/j.scitotenv.2023.163360
- Carbon monoxide total column retrievals from TROPOMI shortwave infrared measurements J. Landgraf et al. https://doi.org/10.5194/amt-9-4955-2016
- Use of Assimilation Analysis in 4D-Var Source Inversion: Observing System Simulation Experiments (OSSEs) with GOSAT Methane and Hemispheric CMAQ S. Voshtani et al. https://doi.org/10.3390/atmos14040758
- Characterizing model errors in chemical transport modeling of methane: using GOSAT XCH4 data with weak-constraint four-dimensional variational data assimilation I. Stanevich et al. https://doi.org/10.5194/acp-21-9545-2021
- Recent methane surges reveal heightened emissions from tropical inundated areas X. Lin et al. https://doi.org/10.1038/s41467-024-55266-y
- Simulating CH4 and CO2 over South and East Asia using the zoomed chemistry transport model LMDz-INCA X. Lin et al. https://doi.org/10.5194/acp-18-9475-2018
- Error Budget of the MEthane Remote LIdar missioN and Its Impact on the Uncertainties of the Global Methane Budget P. Bousquet et al. https://doi.org/10.1029/2018JD028907
- Influences of Uncertainties in the STT Flux on Modeled Tropospheric Methane Z. Wang https://doi.org/10.1029/2023JD039107
- Age of air as a diagnostic for transport timescales in global models M. Krol et al. https://doi.org/10.5194/gmd-11-3109-2018
- MERLIN: A French-German Space Lidar Mission Dedicated to Atmospheric Methane G. Ehret et al. https://doi.org/10.3390/rs9101052
- A comprehensive and synthetic dataset for global, regional, and national greenhouse gas emissions by sector 1970–2018 with an extension to 2019 J. Minx et al. https://doi.org/10.5194/essd-13-5213-2021
- Diagnosing Mixing Properties in Model Simulations for CH4 in the Stratosphere Z. Wang et al. https://doi.org/10.1029/2020JD032524
- The Global Methane Budget 2000–2017 M. Saunois et al. https://doi.org/10.5194/essd-12-1561-2020
- Characterizing model errors in chemical transport modeling of methane: impact of model resolution in versions v9-02 of GEOS-Chem and v35j of its adjoint model I. Stanevich et al. https://doi.org/10.5194/gmd-13-3839-2020
- Comparative Review of Global Methane Budget Estimation: Top-Down, Bottom-Up, and Integrated Approaches B. Alem et al. https://doi.org/10.3390/rs18091336
- Diagnostic methods for atmospheric inversions of long-lived greenhouse gases A. Michalak et al. https://doi.org/10.5194/acp-17-7405-2017
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