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.
Research article
| 
24 Oct 2017
Research article |
| 24 Oct 2017
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
Viewed
Total article views: 3,627 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Apr 2017)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,298 | 1,202 | 127 | 3,627 | 335 | 81 | 113 |
- HTML: 2,298
- PDF: 1,202
- XML: 127
- Total: 3,627
- Supplement: 335
- BibTeX: 81
- EndNote: 113
Total article views: 2,893 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 24 Oct 2017)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,887 | 917 | 89 | 2,893 | 184 | 74 | 75 |
- HTML: 1,887
- PDF: 917
- XML: 89
- Total: 2,893
- Supplement: 184
- BibTeX: 74
- EndNote: 75
Total article views: 734 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Apr 2017)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 411 | 285 | 38 | 734 | 151 | 7 | 38 |
- HTML: 411
- PDF: 285
- XML: 38
- Total: 734
- Supplement: 151
- BibTeX: 7
- EndNote: 38
Viewed (geographical distribution)
Total article views: 3,627 (including HTML, PDF, and XML)
Thereof 3,565 with geography defined
and 62 with unknown origin.
Total article views: 2,893 (including HTML, PDF, and XML)
Thereof 2,845 with geography defined
and 48 with unknown origin.
Total article views: 734 (including HTML, PDF, and XML)
Thereof 720 with geography defined
and 14 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
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: 06 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)...
Altmetrics
Final-revised paper
Preprint