Articles | Volume 17, issue 20
https://doi.org/10.5194/acp-17-12633-2017
© Author(s) 2017. 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-17-12633-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
What controls the seasonal cycle of columnar methane observed by GOSAT over different regions in India?
Faculty of Science, Nara Women's University, Kita-Uoya Nishimachi, Nara 630-8506, Japan
now at: Research and Development Center for Global Change, JAMSTEC, Yokohama 2360001, Japan
Sachiko Hayashida
Faculty of Science, Nara Women's University, Kita-Uoya Nishimachi, Nara 630-8506, Japan
Tazu Saeki
Department of Environmental Geochemical Cycle Research, JAMSTEC, Yokohama 2360001, Japan
now at: Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba 305-8506, Japan
Prabir K. Patra
Department of Environmental Geochemical Cycle Research, JAMSTEC, Yokohama 2360001, Japan
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Cited
26 citations as recorded by crossref.
- Spatio-temporal variability of XCO2 over Indian region inferred from Orbiting Carbon Observatory (OCO-2) satellite and Chemistry Transport Model R. Kunchala et al. 10.1016/j.atmosres.2022.106044
- Recent decline in carbon monoxide levels observed at an urban site in Ahmedabad, India N. Chandra et al. 10.1007/s11356-024-33813-w
- Spatio-temporal dynamics of methane concentration and its association to climatic and vegetation parameters: a case study of the Northern Cape Province, South Africa N. Mashiyi et al. 10.1080/10106049.2024.2306266
- Unveiling the drivers of atmospheric methane variability in Iran: A 20-year exploration using spatiotemporal modeling and machine learning S. Mousavi et al. 10.1016/j.envc.2024.100946
- Emissions from the Oil and Gas Sectors, Coal Mining and Ruminant Farming Drive Methane Growth over the Past Three Decades N. CHANDRA et al. 10.2151/jmsj.2021-015
- Evaluation of temporal changes in methane content in the atmosphere for areas with a very high rice concentration based on Sentinel-5P data K. Kozicka et al. 10.1016/j.rsase.2023.100972
- Seasonal evaluation of tropospheric CO<sub>2</sub> over the Asia-Pacific region observed by the CONTRAIL commercial airliner measurements T. Umezawa et al. 10.5194/acp-18-14851-2018
- Observational evidence of high methane emissions over a city in western India N. Chandra et al. 10.1016/j.atmosenv.2019.01.007
- Stratospheric distribution of methane over a tropical region as observed by MIPAS on board ENVISAT P. Nair & M. Kavitha 10.1080/01431161.2020.1779376
- 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
- Understanding atmospheric methane sub-seasonal variability over India Y. Tiwari et al. 10.1016/j.atmosenv.2019.117206
- Assessment of spatio-temporal distribution of CO2 over greater Asia using the WRF–CO2 model S. Ballav et al. 10.1007/s12040-020-1352-x
- Diurnal and seasonal variations in surface methane at a tropical coastal station: Role of mesoscale meteorology M. Kavitha et al. 10.1016/j.scitotenv.2018.03.123
- Investigation of monthly and seasonal changes of methane gas with respect to climate change using satellite data S. Javadinejad et al. 10.1007/s13201-019-1067-9
- Satellite-retrieved vertical profiles of methane over the Indian region: impact of synopticscale meteorology M. Kavitha & P. Nair 10.1080/01431161.2019.1580791
- Data driven analysis of atmospheric methane concentrations as function of geographic, land cover type and season C. Karoff & A. Vara-Vela 10.3389/feart.2023.1119977
- Spatiotemporal Geostatistical Analysis and Global Mapping of CH4 Columns from GOSAT Observations L. Li et al. 10.3390/rs14030654
- Biogenic link to the recent increase in atmospheric methane over India A. Singh et al. 10.1016/j.jenvman.2021.112526
- Spatiotemporal investigation of near-surface CH4 and factors influencing CH4 over South, East, and Southeast Asia M. Khaliq et al. 10.1016/j.scitotenv.2024.171311
- Multiple-model based simulation of urban atmospheric methane concentration and the attributions to its seasonal variations: A case study in Hangzhou megacity, China J. Zhang et al. 10.1016/j.envpol.2024.124781
- Decadal Methane Emission Trend Inferred from Proxy GOSAT XCH4 Retrievals: Impacts of Transport Model Spatial Resolution S. Zhu et al. 10.1007/s00376-022-1434-6
- 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
- An Analysis of Interhemispheric Transport Pathways Based on Three‐Dimensional Methane Data by GOSAT Observations and Model Simulations D. Belikov et al. 10.1029/2021JD035688
- A 1-D model to retrieve the vertical profiles of minor atmospheric constituents for cloud microphysical modeling: II. Simulation of diurnal cycle K. Patnaik et al. 10.1016/j.scitotenv.2023.167377
- Meridional Propagation of Carbon Dioxide (CO2) Growth Rate and Flux Anomalies From the Tropics Due to ENSO C. Das et al. 10.1029/2022GL100105
- Diurnal and seasonal variability of CO2 and CH4 concentration in a semi-urban environment of western India A. Metya et al. 10.1038/s41598-021-82321-1
26 citations as recorded by crossref.
- Spatio-temporal variability of XCO2 over Indian region inferred from Orbiting Carbon Observatory (OCO-2) satellite and Chemistry Transport Model R. Kunchala et al. 10.1016/j.atmosres.2022.106044
- Recent decline in carbon monoxide levels observed at an urban site in Ahmedabad, India N. Chandra et al. 10.1007/s11356-024-33813-w
- Spatio-temporal dynamics of methane concentration and its association to climatic and vegetation parameters: a case study of the Northern Cape Province, South Africa N. Mashiyi et al. 10.1080/10106049.2024.2306266
- Unveiling the drivers of atmospheric methane variability in Iran: A 20-year exploration using spatiotemporal modeling and machine learning S. Mousavi et al. 10.1016/j.envc.2024.100946
- Emissions from the Oil and Gas Sectors, Coal Mining and Ruminant Farming Drive Methane Growth over the Past Three Decades N. CHANDRA et al. 10.2151/jmsj.2021-015
- Evaluation of temporal changes in methane content in the atmosphere for areas with a very high rice concentration based on Sentinel-5P data K. Kozicka et al. 10.1016/j.rsase.2023.100972
- Seasonal evaluation of tropospheric CO<sub>2</sub> over the Asia-Pacific region observed by the CONTRAIL commercial airliner measurements T. Umezawa et al. 10.5194/acp-18-14851-2018
- Observational evidence of high methane emissions over a city in western India N. Chandra et al. 10.1016/j.atmosenv.2019.01.007
- Stratospheric distribution of methane over a tropical region as observed by MIPAS on board ENVISAT P. Nair & M. Kavitha 10.1080/01431161.2020.1779376
- 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
- Understanding atmospheric methane sub-seasonal variability over India Y. Tiwari et al. 10.1016/j.atmosenv.2019.117206
- Assessment of spatio-temporal distribution of CO2 over greater Asia using the WRF–CO2 model S. Ballav et al. 10.1007/s12040-020-1352-x
- Diurnal and seasonal variations in surface methane at a tropical coastal station: Role of mesoscale meteorology M. Kavitha et al. 10.1016/j.scitotenv.2018.03.123
- Investigation of monthly and seasonal changes of methane gas with respect to climate change using satellite data S. Javadinejad et al. 10.1007/s13201-019-1067-9
- Satellite-retrieved vertical profiles of methane over the Indian region: impact of synopticscale meteorology M. Kavitha & P. Nair 10.1080/01431161.2019.1580791
- Data driven analysis of atmospheric methane concentrations as function of geographic, land cover type and season C. Karoff & A. Vara-Vela 10.3389/feart.2023.1119977
- Spatiotemporal Geostatistical Analysis and Global Mapping of CH4 Columns from GOSAT Observations L. Li et al. 10.3390/rs14030654
- Biogenic link to the recent increase in atmospheric methane over India A. Singh et al. 10.1016/j.jenvman.2021.112526
- Spatiotemporal investigation of near-surface CH4 and factors influencing CH4 over South, East, and Southeast Asia M. Khaliq et al. 10.1016/j.scitotenv.2024.171311
- Multiple-model based simulation of urban atmospheric methane concentration and the attributions to its seasonal variations: A case study in Hangzhou megacity, China J. Zhang et al. 10.1016/j.envpol.2024.124781
- Decadal Methane Emission Trend Inferred from Proxy GOSAT XCH4 Retrievals: Impacts of Transport Model Spatial Resolution S. Zhu et al. 10.1007/s00376-022-1434-6
- 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
- An Analysis of Interhemispheric Transport Pathways Based on Three‐Dimensional Methane Data by GOSAT Observations and Model Simulations D. Belikov et al. 10.1029/2021JD035688
- A 1-D model to retrieve the vertical profiles of minor atmospheric constituents for cloud microphysical modeling: II. Simulation of diurnal cycle K. Patnaik et al. 10.1016/j.scitotenv.2023.167377
- Meridional Propagation of Carbon Dioxide (CO2) Growth Rate and Flux Anomalies From the Tropics Due to ENSO C. Das et al. 10.1029/2022GL100105
- Diurnal and seasonal variability of CO2 and CH4 concentration in a semi-urban environment of western India A. Metya et al. 10.1038/s41598-021-82321-1
Discussed (preprint)
Latest update: 20 Nov 2024
Short summary
This study shows difficulties in interpreting columnar dry-air mole fractions of methane (XCH4) for surface emissions of CH4 over the South Asia region, without separating the role of chemistry and transport. Using a chemistry-transport model, we suggest that a link between surface emissions and higher levels of XCH4 is not always valid in this region of complex monsoonal meteorology, although there is often a fair correlation between the seasonal variations in surface emissions and XCH4.
This study shows difficulties in interpreting columnar dry-air mole fractions of methane (XCH4)...
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