Articles | Volume 20, issue 22
https://doi.org/10.5194/acp-20-14183-2020
© Author(s) 2020. 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-20-14183-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Long-term MAX-DOAS measurements of NO2, HCHO, and aerosols and evaluation of corresponding satellite data products over Mohali in the Indo-Gangetic Plain
Max Planck Institute for Chemistry, Mainz, Germany
Steffen Beirle
Max Planck Institute for Chemistry, Mainz, Germany
Steffen Dörner
Max Planck Institute for Chemistry, Mainz, Germany
Abhishek Kumar Mishra
Department of Earth and Environmental Sciences, Indian Institute of
Science Education and Research Mohali, Mohali, India
Sebastian Donner
Max Planck Institute for Chemistry, Mainz, Germany
Yang Wang
Max Planck Institute for Chemistry, Mainz, Germany
Vinayak Sinha
Department of Earth and Environmental Sciences, Indian Institute of
Science Education and Research Mohali, Mohali, India
Thomas Wagner
Max Planck Institute for Chemistry, Mainz, Germany
Viewed
Total article views: 3,672 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 May 2020)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,456 | 1,168 | 48 | 3,672 | 58 | 58 |
- HTML: 2,456
- PDF: 1,168
- XML: 48
- Total: 3,672
- BibTeX: 58
- EndNote: 58
Total article views: 2,766 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 Nov 2020)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,980 | 758 | 28 | 2,766 | 45 | 47 |
- HTML: 1,980
- PDF: 758
- XML: 28
- Total: 2,766
- BibTeX: 45
- EndNote: 47
Total article views: 906 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 May 2020)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
476 | 410 | 20 | 906 | 13 | 11 |
- HTML: 476
- PDF: 410
- XML: 20
- Total: 906
- BibTeX: 13
- EndNote: 11
Viewed (geographical distribution)
Total article views: 3,672 (including HTML, PDF, and XML)
Thereof 3,618 with geography defined
and 54 with unknown origin.
Total article views: 2,766 (including HTML, PDF, and XML)
Thereof 2,740 with geography defined
and 26 with unknown origin.
Total article views: 906 (including HTML, PDF, and XML)
Thereof 878 with geography defined
and 28 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
27 citations as recorded by crossref.
- Interpreting the COVID effect on atmospheric constituents over the Indian region during the lockdown: chemistry, meteorology, and seasonality R. Kant et al. 10.1007/s10661-022-09932-7
- Determining the differences in O3-NOx-VOCs sensitivity between sauna and roast days Y. Liu et al. 10.1016/j.jes.2024.10.004
- Multi-axis differential optical absorption spectroscopy (MAX-DOAS) observations of formaldehyde and nitrogen dioxide at three sites in Asia and comparison with the global chemistry transport model CHASER H. Hoque et al. 10.5194/acp-22-12559-2022
- Coherent field sensing of nitrogen dioxide A. Eber et al. 10.1364/OE.513523
- Tropospheric NO2 Pollution Monitoring with the GF-5 Satellite Environmental Trace Gases Monitoring Instrument over the North China Plain during Winter 2018–2019 D. Yang et al. 10.3390/atmos12030398
- Nocturnal Atmospheric Oxidative Processes in the Indo‐Gangetic Plain and Their Variation During the COVID‐19 Lockdowns D. Meidan et al. 10.1029/2021GL097472
- Evaluation of the coupled high-resolution atmospheric chemistry model system MECO(n) using in situ and MAX-DOAS NO<sub>2</sub> measurements V. Kumar et al. 10.5194/amt-14-5241-2021
- Evaluation of transport processes over North China Plain and Yangtze River Delta using MAX-DOAS observations Y. Song et al. 10.5194/acp-23-1803-2023
- Study of atmospheric glyoxal using multiple axis differential optical spectroscopy (MAX-DOAS) in India M. Biswas et al. 10.1016/j.atmosenv.2023.120109
- Sentinel-5P TROPOMI NO<sub>2</sub> retrieval: impact of version v2.2 improvements and comparisons with OMI and ground-based data J. van Geffen et al. 10.5194/amt-15-2037-2022
- Impact Assessment of COVID‐19 Lockdown on Vertical Distributions of NO2 and HCHO From MAX‐DOAS Observations and Machine Learning Models S. Zhang et al. 10.1029/2021JD036377
- Will open waste burning become India's largest air pollution source? G. Sharma et al. 10.1016/j.envpol.2021.118310
- Season-wise analyses of VOCs, hydroxyl radicals and ozone formation chemistry over north-west India reveal isoprene and acetaldehyde as the most potent ozone precursors throughout the year V. Kumar & V. Sinha 10.1016/j.chemosphere.2021.131184
- An Overview of Volatile Organic Compounds (VOCs) K. Bagawan et al. 10.1007/s12045-022-1513-0
- Identification of O3 Sensitivity to Secondary HCHO and NO2 Measured by MAX-DOAS in Four Cities in China C. Lu et al. 10.3390/rs16040662
- A sulfur dioxide Covariance-Based Retrieval Algorithm (COBRA): application to TROPOMI reveals new emission sources N. Theys et al. 10.5194/acp-21-16727-2021
- Investigation of NOx and related secondary pollutants at Anand Vihar, one of the most polluted area of Delhi N. Kaushik & R. Das 10.1016/j.uclim.2023.101747
- Observations of HONO and its precursors between urban and its surrounding agricultural fields: The vertical transports, sources and contribution to OH C. Xing et al. 10.1016/j.scitotenv.2023.169159
- Comparative assessment of TROPOMI and OMI formaldehyde observations and validation against MAX-DOAS network column measurements I. De Smedt et al. 10.5194/acp-21-12561-2021
- Gas-Phase Oxidation of NO2 to HNO3 by Phenol: Atmospheric Implications K. Mondal et al. 10.1021/acsearthspacechem.1c00167
- Long-term observations of NO2, SO2, HCHO, and CHOCHO over the Himalayan foothills: Insights from MAX-DOAS, TROPOMI, and GOME-2 P. Rawat et al. 10.1016/j.atmosenv.2024.120746
- Elucidating the impacts of COVID-19 lockdown on air quality and ozone chemical characteristics in India B. Roozitalab et al. 10.1039/D2EA00023G
- Optimized LC-MS/MS method for simultaneous determination of endocrine disruptors and PAHs bound to PM2.5: Sources and health risk in Indo-Gangetic Plain D. Patnana et al. 10.1016/j.atmosenv.2022.119363
- Global Ozone Monitoring Experiment-2 (GOME-2) daily and monthly level-3 products of atmospheric trace gas columns K. Chan et al. 10.5194/essd-15-1831-2023
- Modeling of spatial and temporal variations of ozone-NO -VOC sensitivity based on photochemical indicators in China X. Du et al. 10.1016/j.jes.2021.12.026
- Diagnosis of Ozone Formation Sensitivities in Different Height Layers via MAX‐DOAS Observations in Guangzhou H. Lin et al. 10.1029/2022JD036803
- Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation C. Lerot et al. 10.5194/amt-14-7775-2021
27 citations as recorded by crossref.
- Interpreting the COVID effect on atmospheric constituents over the Indian region during the lockdown: chemistry, meteorology, and seasonality R. Kant et al. 10.1007/s10661-022-09932-7
- Determining the differences in O3-NOx-VOCs sensitivity between sauna and roast days Y. Liu et al. 10.1016/j.jes.2024.10.004
- Multi-axis differential optical absorption spectroscopy (MAX-DOAS) observations of formaldehyde and nitrogen dioxide at three sites in Asia and comparison with the global chemistry transport model CHASER H. Hoque et al. 10.5194/acp-22-12559-2022
- Coherent field sensing of nitrogen dioxide A. Eber et al. 10.1364/OE.513523
- Tropospheric NO2 Pollution Monitoring with the GF-5 Satellite Environmental Trace Gases Monitoring Instrument over the North China Plain during Winter 2018–2019 D. Yang et al. 10.3390/atmos12030398
- Nocturnal Atmospheric Oxidative Processes in the Indo‐Gangetic Plain and Their Variation During the COVID‐19 Lockdowns D. Meidan et al. 10.1029/2021GL097472
- Evaluation of the coupled high-resolution atmospheric chemistry model system MECO(n) using in situ and MAX-DOAS NO<sub>2</sub> measurements V. Kumar et al. 10.5194/amt-14-5241-2021
- Evaluation of transport processes over North China Plain and Yangtze River Delta using MAX-DOAS observations Y. Song et al. 10.5194/acp-23-1803-2023
- Study of atmospheric glyoxal using multiple axis differential optical spectroscopy (MAX-DOAS) in India M. Biswas et al. 10.1016/j.atmosenv.2023.120109
- Sentinel-5P TROPOMI NO<sub>2</sub> retrieval: impact of version v2.2 improvements and comparisons with OMI and ground-based data J. van Geffen et al. 10.5194/amt-15-2037-2022
- Impact Assessment of COVID‐19 Lockdown on Vertical Distributions of NO2 and HCHO From MAX‐DOAS Observations and Machine Learning Models S. Zhang et al. 10.1029/2021JD036377
- Will open waste burning become India's largest air pollution source? G. Sharma et al. 10.1016/j.envpol.2021.118310
- Season-wise analyses of VOCs, hydroxyl radicals and ozone formation chemistry over north-west India reveal isoprene and acetaldehyde as the most potent ozone precursors throughout the year V. Kumar & V. Sinha 10.1016/j.chemosphere.2021.131184
- An Overview of Volatile Organic Compounds (VOCs) K. Bagawan et al. 10.1007/s12045-022-1513-0
- Identification of O3 Sensitivity to Secondary HCHO and NO2 Measured by MAX-DOAS in Four Cities in China C. Lu et al. 10.3390/rs16040662
- A sulfur dioxide Covariance-Based Retrieval Algorithm (COBRA): application to TROPOMI reveals new emission sources N. Theys et al. 10.5194/acp-21-16727-2021
- Investigation of NOx and related secondary pollutants at Anand Vihar, one of the most polluted area of Delhi N. Kaushik & R. Das 10.1016/j.uclim.2023.101747
- Observations of HONO and its precursors between urban and its surrounding agricultural fields: The vertical transports, sources and contribution to OH C. Xing et al. 10.1016/j.scitotenv.2023.169159
- Comparative assessment of TROPOMI and OMI formaldehyde observations and validation against MAX-DOAS network column measurements I. De Smedt et al. 10.5194/acp-21-12561-2021
- Gas-Phase Oxidation of NO2 to HNO3 by Phenol: Atmospheric Implications K. Mondal et al. 10.1021/acsearthspacechem.1c00167
- Long-term observations of NO2, SO2, HCHO, and CHOCHO over the Himalayan foothills: Insights from MAX-DOAS, TROPOMI, and GOME-2 P. Rawat et al. 10.1016/j.atmosenv.2024.120746
- Elucidating the impacts of COVID-19 lockdown on air quality and ozone chemical characteristics in India B. Roozitalab et al. 10.1039/D2EA00023G
- Optimized LC-MS/MS method for simultaneous determination of endocrine disruptors and PAHs bound to PM2.5: Sources and health risk in Indo-Gangetic Plain D. Patnana et al. 10.1016/j.atmosenv.2022.119363
- Global Ozone Monitoring Experiment-2 (GOME-2) daily and monthly level-3 products of atmospheric trace gas columns K. Chan et al. 10.5194/essd-15-1831-2023
- Modeling of spatial and temporal variations of ozone-NO -VOC sensitivity based on photochemical indicators in China X. Du et al. 10.1016/j.jes.2021.12.026
- Diagnosis of Ozone Formation Sensitivities in Different Height Layers via MAX‐DOAS Observations in Guangzhou H. Lin et al. 10.1029/2022JD036803
- Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation C. Lerot et al. 10.5194/amt-14-7775-2021
Latest update: 20 Nov 2024
Short summary
We present the first long-term MAX-DOAS measurements of aerosols, nitrogen dioxide and formaldehyde tropospheric columns, vertical distributions, and temporal variation from Mohali in the Indo-Gangetic Plain. We investigate the effect of various emission sources and meteorological conditions on the measured pollutants and how they control ozone formation. These measurements are also used to validate the corresponding satellite observations and are also compared against in situ observations.
We present the first long-term MAX-DOAS measurements of aerosols, nitrogen dioxide and...
Altmetrics
Final-revised paper
Preprint