Articles | Volume 18, issue 13
https://doi.org/10.5194/acp-18-9475-2018
© Author(s) 2018. 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-18-9475-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
06 Jul 2018
Research article |
| 06 Jul 2018
Simulating CH4 and CO2 over South and East Asia using the zoomed chemistry transport model LMDz-INCA
Laboratoire des Sciences du Climat et de l'Environnement,
LSCE-IPSL (CEA-CNRS-UVSQ), Université Paris-Saclay, 91191
Gif-sur-Yvette, France
Philippe Ciais
Laboratoire des Sciences du Climat et de l'Environnement,
LSCE-IPSL (CEA-CNRS-UVSQ), Université Paris-Saclay, 91191
Gif-sur-Yvette, France
Philippe Bousquet
Laboratoire des Sciences du Climat et de l'Environnement,
LSCE-IPSL (CEA-CNRS-UVSQ), Université Paris-Saclay, 91191
Gif-sur-Yvette, France
Michel Ramonet
Laboratoire des Sciences du Climat et de l'Environnement,
LSCE-IPSL (CEA-CNRS-UVSQ), Université Paris-Saclay, 91191
Gif-sur-Yvette, France
Laboratoire des Sciences du Climat et de l'Environnement,
LSCE-IPSL (CEA-CNRS-UVSQ), Université Paris-Saclay, 91191
Gif-sur-Yvette, France
now at: California Institute of Technology, Pasadena, CA,
USA
Yves Balkanski
Laboratoire des Sciences du Climat et de l'Environnement,
LSCE-IPSL (CEA-CNRS-UVSQ), Université Paris-Saclay, 91191
Gif-sur-Yvette, France
Anne Cozic
Laboratoire des Sciences du Climat et de l'Environnement,
LSCE-IPSL (CEA-CNRS-UVSQ), Université Paris-Saclay, 91191
Gif-sur-Yvette, France
Marc Delmotte
Laboratoire des Sciences du Climat et de l'Environnement,
LSCE-IPSL (CEA-CNRS-UVSQ), Université Paris-Saclay, 91191
Gif-sur-Yvette, France
Nikolaos Evangeliou
Norwegian Institute for Air Research (NILU), Department of
Atmospheric and Climate Research (ATMOS), Kjeller, Norway
Nuggehalli K. Indira
CSIR Fourth Paradigm Institute (formerly CSIR Centre for
Mathematical Modelling and Computer Simulation), NAL Belur Campus,
Bengaluru 560 037, India
Robin Locatelli
Laboratoire des Sciences du Climat et de l'Environnement,
LSCE-IPSL (CEA-CNRS-UVSQ), Université Paris-Saclay, 91191
Gif-sur-Yvette, France
now at: AXA Global P&C, Paris, France
Shushi Peng
Sino-French Institute for Earth System Science, College of
Urban and Environmental Sciences, Peking University, Beijing 100871,
China
Shilong Piao
Sino-French Institute for Earth System Science, College of
Urban and Environmental Sciences, Peking University, Beijing 100871,
China
Marielle Saunois
Laboratoire des Sciences du Climat et de l'Environnement,
LSCE-IPSL (CEA-CNRS-UVSQ), Université Paris-Saclay, 91191
Gif-sur-Yvette, France
Panangady S. Swathi
CSIR Fourth Paradigm Institute (formerly CSIR Centre for
Mathematical Modelling and Computer Simulation), NAL Belur Campus,
Bengaluru 560 037, India
Rong Wang
Laboratoire des Sciences du Climat et de l'Environnement,
LSCE-IPSL (CEA-CNRS-UVSQ), Université Paris-Saclay, 91191
Gif-sur-Yvette, France
now at: Department of Environmental Science and Engineering,
Fudan University, Shanghai 200433, China
Camille Yver-Kwok
Laboratoire des Sciences du Climat et de l'Environnement,
LSCE-IPSL (CEA-CNRS-UVSQ), Université Paris-Saclay, 91191
Gif-sur-Yvette, France
Yogesh K. Tiwari
Centre for Climate Change Research, Indian Institute of
Tropical Meteorology, Pune, India
Lingxi Zhou
Chinese Academy of Meteorological Sciences (CAMS), China
Meteorological Administration (CMA), Beijing, China
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- Assessment of the impact of observations at Nainital (India) and Comilla (Bangladesh) on the CH4 flux inversion D. Belikov et al. 10.1186/s40645-024-00634-x
- Downhill and uphill diffusion of gases with temperature inversions in the atmosphere V. Dung & T. Tuan 10.1007/s12648-021-02167-1
- Uncertainty of hourly-average concentration values derived from non-continuous measurements L. Haszpra & E. Prácser 10.5194/amt-14-3561-2021
- Intercomparison of Atmospheric Carbonyl Sulfide (TransCom‐COS): 2. Evaluation of Optimized Fluxes Using Ground‐Based and Aircraft Observations J. Ma et al. 10.1029/2023JD039198
- Understanding atmospheric methane sub-seasonal variability over India Y. Tiwari et al. 10.1016/j.atmosenv.2019.117206
- Comparison of Atmospheric CO2, CH4, and CO at Two Stations in the Tibetan Plateau of China M. Guo et al. 10.1029/2019EA001051
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- Wetland emission and atmospheric sink changes explain methane growth in 2020 S. Peng et al. 10.1038/s41586-022-05447-w
- Intercomparison of Atmospheric Carbonyl Sulfide (TransCom‐COS; Part One): Evaluating the Impact of Transport and Emissions on Tropospheric Variability Using Ground‐Based and Aircraft Data M. Remaud et al. 10.1029/2022JD037817
- Optimizing 4 years of CO2 biospheric fluxes from OCO-2 and in situ data in TM5: fire emissions from GFED and inferred from MOPITT CO data H. Peiro et al. 10.5194/acp-22-15817-2022
- On the impact of recent developments of the LMDz atmospheric general circulation model on the simulation of CO<sub>2</sub> transport M. Remaud et al. 10.5194/gmd-11-4489-2018
- Influences of hydroxyl radicals (OH) on top-down estimates of the global and regional methane budgets Y. Zhao et al. 10.5194/acp-20-9525-2020
- OCO‐2 Satellite‐Imposed Constraints on Terrestrial Biospheric CO2 Fluxes Over South Asia S. Philip et al. 10.1029/2021JD035035
- The Canadian atmospheric transport model for simulating greenhouse gas evolution on regional scales: GEM–MACH–GHG v.137-reg J. Kim et al. 10.5194/gmd-13-269-2020
- GOSAT CH4 Vertical Profiles over the Indian Subcontinent: Effect of a Priori and Averaging Kernels for Climate Applications D. Belikov et al. 10.3390/rs13091677
- Modelling CO<sub>2</sub> weather – why horizontal resolution matters A. Agustí-Panareda et al. 10.5194/acp-19-7347-2019
- Variability and quasi-decadal changes in the methane budget over the period 2000–2012 M. Saunois et al. 10.5194/acp-17-11135-2017
17 citations as recorded by crossref.
- Observational evidence of high methane emissions over a city in western India N. Chandra et al. 10.1016/j.atmosenv.2019.01.007
- Assessment of the impact of observations at Nainital (India) and Comilla (Bangladesh) on the CH4 flux inversion D. Belikov et al. 10.1186/s40645-024-00634-x
- Downhill and uphill diffusion of gases with temperature inversions in the atmosphere V. Dung & T. Tuan 10.1007/s12648-021-02167-1
- Uncertainty of hourly-average concentration values derived from non-continuous measurements L. Haszpra & E. Prácser 10.5194/amt-14-3561-2021
- Intercomparison of Atmospheric Carbonyl Sulfide (TransCom‐COS): 2. Evaluation of Optimized Fluxes Using Ground‐Based and Aircraft Observations J. Ma et al. 10.1029/2023JD039198
- Understanding atmospheric methane sub-seasonal variability over India Y. Tiwari et al. 10.1016/j.atmosenv.2019.117206
- Comparison of Atmospheric CO2, CH4, and CO at Two Stations in the Tibetan Plateau of China M. Guo et al. 10.1029/2019EA001051
- Inter-model comparison of global hydroxyl radical (OH) distributions and their impact on atmospheric methane over the 2000–2016 period Y. Zhao et al. 10.5194/acp-19-13701-2019
- Wetland emission and atmospheric sink changes explain methane growth in 2020 S. Peng et al. 10.1038/s41586-022-05447-w
- Intercomparison of Atmospheric Carbonyl Sulfide (TransCom‐COS; Part One): Evaluating the Impact of Transport and Emissions on Tropospheric Variability Using Ground‐Based and Aircraft Data M. Remaud et al. 10.1029/2022JD037817
- Optimizing 4 years of CO2 biospheric fluxes from OCO-2 and in situ data in TM5: fire emissions from GFED and inferred from MOPITT CO data H. Peiro et al. 10.5194/acp-22-15817-2022
- On the impact of recent developments of the LMDz atmospheric general circulation model on the simulation of CO<sub>2</sub> transport M. Remaud et al. 10.5194/gmd-11-4489-2018
- Influences of hydroxyl radicals (OH) on top-down estimates of the global and regional methane budgets Y. Zhao et al. 10.5194/acp-20-9525-2020
- OCO‐2 Satellite‐Imposed Constraints on Terrestrial Biospheric CO2 Fluxes Over South Asia S. Philip et al. 10.1029/2021JD035035
- The Canadian atmospheric transport model for simulating greenhouse gas evolution on regional scales: GEM–MACH–GHG v.137-reg J. Kim et al. 10.5194/gmd-13-269-2020
- GOSAT CH4 Vertical Profiles over the Indian Subcontinent: Effect of a Priori and Averaging Kernels for Climate Applications D. Belikov et al. 10.3390/rs13091677
- Modelling CO<sub>2</sub> weather – why horizontal resolution matters A. Agustí-Panareda et al. 10.5194/acp-19-7347-2019
1 citations as recorded by crossref.
Saved (preprint)
Latest update: 14 Dec 2024
Short summary
We simulate CH4 and CO2 using a zoomed global transport model with a horizontal resolution of ~50 km over South and East Asia, as well as a standard model version for comparison. Model performance is evaluated for both gases and versions at multiple timescales against a new collection of surface stations over this key GHG-emitting region. The evaluation at different timescales and comparisons between gases and model versions have implications for possible model improvements and inversions.
We simulate CH4 and CO2 using a zoomed global transport model with a horizontal resolution of...
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