Articles | Volume 13, issue 8
https://doi.org/10.5194/amt-13-4499-2020
© 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/amt-13-4499-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Aug 2020
Research article |
| 19 Aug 2020
| 19 Aug 2020
MAX-DOAS measurements of tropospheric NO2 and HCHO in Munich and the comparison to OMI and TROPOMI satellite observations
Ka Lok Chan
CORRESPONDING AUTHOR
Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Oberpfaffenhofen, Germany
Matthias Wiegner
Meteorological Institute (MIM), Ludwig-Maximilians-Universität München (LMU), Munich, Germany
deceased, 29 July 2020
Jos van Geffen
Satellite Observations Department, Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Isabelle De Smedt
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Carlos Alberti
Meteorological Institute (MIM), Ludwig-Maximilians-Universität München (LMU), Munich, Germany
Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Zhibin Cheng
Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Oberpfaffenhofen, Germany
Meteorological Institute (MIM), Ludwig-Maximilians-Universität München (LMU), Munich, Germany
Mark Wenig
Meteorological Institute (MIM), Ludwig-Maximilians-Universität München (LMU), Munich, Germany
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- 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
- Response of Anthropogenic Volatile Organic Compound Emissions to Urbanization in Asia Probed With TROPOMI and VIIRS Satellite Observations D. Pu et al. 10.1029/2022GL099470
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- Unraveling pathways of elevated ozone induced by the 2020 lockdown in Europe by an observationally constrained regional model using TROPOMI A. Souri et al. 10.5194/acp-21-18227-2021
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- COVID-19 lockdown-induced changes in NO<sub>2</sub> levels across India observed by multi-satellite and surface observations A. Biswal et al. 10.5194/acp-21-5235-2021
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- Exploiting satellite measurements to explore uncertainties in UK bottom-up NO<sub><i>x</i></sub> emission estimates R. Pope et al. 10.5194/acp-22-4323-2022
- Coherent field sensing of nitrogen dioxide A. Eber et al. 10.1364/OE.513523
- Estimating city NOX emissions from TROPOMI high spatial resolution observations – A case study on Yangtze River Delta, China R. Xue et al. 10.1016/j.uclim.2022.101150
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- Estimating daily ground-level NO2 concentrations over China based on TROPOMI observations and machine learning approach S. Long et al. 10.1016/j.atmosenv.2022.119310
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- Mapping the spatial distribution of NO<sub>2</sub> with in situ and remote sensing instruments during the Munich NO<sub>2</sub> imaging campaign G. Kuhlmann et al. 10.5194/amt-15-1609-2022
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- MAX-DOAS observation in the midlatitude marine boundary layer: Influences of typhoon forced air mass R. Zhang et al. 10.1016/j.jes.2021.12.010
- Effect of polyoxymethylene (POM-H Delrin) off-gassing within the Pandora head sensor on direct-sun and multi-axis formaldehyde column measurements in 2016–2019 E. Spinei et al. 10.5194/amt-14-647-2021
- Satellite remote-sensing capability to assess tropospheric-column ratios of formaldehyde and nitrogen dioxide: case study during the Long Island Sound Tropospheric Ozone Study 2018 (LISTOS 2018) field campaign M. Johnson et al. 10.5194/amt-16-2431-2023
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- Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies on field data from the CINDI-2 campaign J. Tirpitz et al. 10.5194/amt-14-1-2021
- 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
- Estimation of Surface NO2 Concentrations over Germany from TROPOMI Satellite Observations Using a Machine Learning Method K. Chan et al. 10.3390/rs13050969
- Air Quality Index (AQI) Did Not Improve during the COVID-19 Lockdown in Shanghai, China, in 2022, Based on Ground and TROPOMI Observations Q. Ma et al. 10.3390/rs15051295
- Evaluation of TROPOMI and OMI Tropospheric NO2 Products Using Measurements from MAX-DOAS and State-Controlled Stations in the Jiangsu Province of China K. Cai et al. 10.3390/atmos13060886
- Evaluation and Evolution of MAX-DOAS-observed Vertical NO2 Profiles in Urban Beijing Y. Kang et al. 10.1007/s00376-021-0370-1
- Observing Downwind Structures of Urban HCHO Plumes From Space: Implications to Non‐Methane Volatile Organic Compound Emissions X. Zuo et al. 10.1029/2023GL106062
- Kilometer-level glyoxal retrieval via satellite for anthropogenic volatile organic compound emission source and secondary organic aerosol formation identification Y. Chen et al. 10.1016/j.rse.2021.112852
- Two-dimensional monitoring of air pollution in Madrid using a Multi-AXis Differential Optical Absorption Spectroscopy two-dimensional (MAXDOAS-2D) instrument D. Garcia-Nieto et al. 10.5194/amt-14-2941-2021
- COVID‐19 Induced Fingerprints of a New Normal Urban Air Quality in the United States S. Kondragunta et al. 10.1029/2021JD034797
- An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
- Air Quality in Two Northern Greek Cities Revealed by Their Tropospheric NO2 Levels M. Koukouli et al. 10.3390/atmos13050840
- Evaluating Sentinel-5P TROPOMI tropospheric NO<sub>2</sub> column densities with airborne and Pandora spectrometers near New York City and Long Island Sound L. Judd et al. 10.5194/amt-13-6113-2020
- Assessment of the NO2 Spatio-Temporal Variability over Thessaloniki, Greece, Using MAX-DOAS Measurements and Comparison with S5P/TROPOMI Observations D. Karagkiozidis et al. 10.3390/app13042641
- Ground-based Multi-AXis Differential Optical Absorption Spectroscopy (MAX-DOAS) observations of NO2 and H2CO at Kinshasa and comparisons with TROPOMI observations R. Yombo Phaka et al. 10.5194/amt-16-5029-2023
- 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
- Comparing Sentinel-5P TROPOMI NO2 column observations with the CAMS regional air quality ensemble J. Douros et al. 10.5194/gmd-16-509-2023
Latest update: 19 Apr 2024
Short summary
The paper presents 2D MAX-DOAS observations of vertical distributions of aerosol extinction, NO2 and HCHO in Munich. The measured surface aerosol extinction coefficients and NO2 mixing ratios are compared to in situ monitoring data. The NO2 and HCHO data are subsequently used to validate satellite measurements. The MAX-DOAS measurements are also used to investigate the spatiotemporal characteristic of NO2 and HCHO in Munich.
The paper presents 2D MAX-DOAS observations of vertical distributions of aerosol extinction, NO2...
