Articles | Volume 17, issue 2
https://doi.org/10.5194/amt-17-377-2024
© Author(s) 2024. 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-17-377-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Jan 2024
Research article |
| 19 Jan 2024
| 19 Jan 2024
Evaluation of the first year of Pandora NO2 measurements over Beijing and application to satellite validation
Ouyang Liu
State Environmental Protection Key Laboratory of Satellite Remote Sensing & State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Zhengqiang Li
CORRESPONDING AUTHOR
State Environmental Protection Key Laboratory of Satellite Remote Sensing & State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Yangyan Lin
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
Cheng Fan
State Environmental Protection Key Laboratory of Satellite Remote Sensing & State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Ying Zhang
State Environmental Protection Key Laboratory of Satellite Remote Sensing & State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Kaitao Li
State Environmental Protection Key Laboratory of Satellite Remote Sensing & State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Peng Zhang
State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
Yuanyuan Wei
State Environmental Protection Key Laboratory of Satellite Remote Sensing & State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Tianzeng Chen
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
Jiantao Dong
State Environmental Protection Key Laboratory of Satellite Remote Sensing & State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment of People's Republic of China, Beijing 100094, China
Gerrit de Leeuw
State Environmental Protection Key Laboratory of Satellite Remote Sensing & State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
R&D Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), 3730 AE De Bilt, the Netherlands
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Cited
16 citations as recorded by crossref.
- Assessment of the impact of NO2 contribution on aerosol-optical-depth measurements at several sites worldwide A. Masoom et al. https://doi.org/10.5194/amt-17-5525-2024
- Uncertainty assessment of TROPOMI NO2 over Europe using ground-based remote sensing observations F. Cifuentes et al. https://doi.org/10.5194/amt-19-2437-2026
- Real-time nowcasting of NO2 products from geostationary environment monitoring spectrometer using a conditional generative adversarial network J. Park et al. https://doi.org/10.1016/j.apr.2025.102631
- Relation between total vertical column density and near-surface NO2 based on in situ and Pandora ground-based remote sensing observations Y. Zhang et al. https://doi.org/10.5194/acp-25-10643-2025
- Interpreting Geostationary Environment Monitoring Spectrometer (GEMS) geostationary satellite observations of the diurnal variation in nitrogen dioxide (NO2) over East Asia L. Yang et al. https://doi.org/10.5194/acp-24-7027-2024
- Ozone formation sensitivity based on the secondary formaldehyde-to-nitrogen dioxide ratio (FNRsec) derived from ground-based remote sensing measurements and a chemical transport model N. Chi et al. https://doi.org/10.5194/acp-26-8275-2026
- Global Accuracy Comparison from Multi-Source NO2 Products Based on Pandora Observations S. Wang et al. https://doi.org/10.3390/rs18132072
- Trace gas variability and ozone formation regimes in urban and sub-urban landscape over Greater Washington D.C. area U. Shah et al. https://doi.org/10.1080/27669645.2026.2689861
- Total ozone bias of the ozone monitoring instrument caused by secondary ozone peaks over East Asia K. Baek et al. https://doi.org/10.1080/01431161.2026.2682564
- Direct sun total NO2 column measurements at Thessaloniki, Greece with two DOAS systems and comparisons with S5P/TROPOMI D. Nikolis et al. https://doi.org/10.1016/j.atmosenv.2025.121161
- Evaluation of ozone and its precursors using the Multi-Scale Infrastructure for Chemistry and Aerosols Version 0 (MUSICAv0) during the Michigan–Ontario Ozone Source Experiment (MOOSE) N. Mariscal et al. https://doi.org/10.5194/gmd-18-6737-2025
- Global retrieval of TROPOMI tropospheric HCHO and NO2 columns with improved consistency based on the updated Peking University OMI NO2 algorithm Y. Zhang et al. https://doi.org/10.5194/amt-18-1561-2025
- Assessment of Pandora and S5P/TROPOMI observations for investigating tropospheric NO2 vertical column densities in Thailand W. Kanchanachat https://doi.org/10.1016/j.atmosenv.2025.121738
- Limitations of Polar-Orbiting Satellite Observations in Capturing the Diurnal Variability of Tropospheric NO2: A Case Study Using TROPOMI, GOME-2C, and Pandora Data Y. Li et al. https://doi.org/10.3390/rs17162846
- Exploring the use of ground-based remote sensing to identify new particle formation events: A case study in the Beijing area Y. Zhang et al. https://doi.org/10.1016/j.scitotenv.2024.176693
- Characterization of Pandora Sky-Scan Modes from the Japan Pandora Network and Evaluation of Their Use in Validating Satellite NO2 and HCHO Retrievals N. Chi et al. https://doi.org/10.1021/acsestair.5c00223
16 citations as recorded by crossref.
- Assessment of the impact of NO2 contribution on aerosol-optical-depth measurements at several sites worldwide A. Masoom et al. https://doi.org/10.5194/amt-17-5525-2024
- Uncertainty assessment of TROPOMI NO2 over Europe using ground-based remote sensing observations F. Cifuentes et al. https://doi.org/10.5194/amt-19-2437-2026
- Real-time nowcasting of NO2 products from geostationary environment monitoring spectrometer using a conditional generative adversarial network J. Park et al. https://doi.org/10.1016/j.apr.2025.102631
- Relation between total vertical column density and near-surface NO2 based on in situ and Pandora ground-based remote sensing observations Y. Zhang et al. https://doi.org/10.5194/acp-25-10643-2025
- Interpreting Geostationary Environment Monitoring Spectrometer (GEMS) geostationary satellite observations of the diurnal variation in nitrogen dioxide (NO2) over East Asia L. Yang et al. https://doi.org/10.5194/acp-24-7027-2024
- Ozone formation sensitivity based on the secondary formaldehyde-to-nitrogen dioxide ratio (FNRsec) derived from ground-based remote sensing measurements and a chemical transport model N. Chi et al. https://doi.org/10.5194/acp-26-8275-2026
- Global Accuracy Comparison from Multi-Source NO2 Products Based on Pandora Observations S. Wang et al. https://doi.org/10.3390/rs18132072
- Trace gas variability and ozone formation regimes in urban and sub-urban landscape over Greater Washington D.C. area U. Shah et al. https://doi.org/10.1080/27669645.2026.2689861
- Total ozone bias of the ozone monitoring instrument caused by secondary ozone peaks over East Asia K. Baek et al. https://doi.org/10.1080/01431161.2026.2682564
- Direct sun total NO2 column measurements at Thessaloniki, Greece with two DOAS systems and comparisons with S5P/TROPOMI D. Nikolis et al. https://doi.org/10.1016/j.atmosenv.2025.121161
- Evaluation of ozone and its precursors using the Multi-Scale Infrastructure for Chemistry and Aerosols Version 0 (MUSICAv0) during the Michigan–Ontario Ozone Source Experiment (MOOSE) N. Mariscal et al. https://doi.org/10.5194/gmd-18-6737-2025
- Global retrieval of TROPOMI tropospheric HCHO and NO2 columns with improved consistency based on the updated Peking University OMI NO2 algorithm Y. Zhang et al. https://doi.org/10.5194/amt-18-1561-2025
- Assessment of Pandora and S5P/TROPOMI observations for investigating tropospheric NO2 vertical column densities in Thailand W. Kanchanachat https://doi.org/10.1016/j.atmosenv.2025.121738
- Limitations of Polar-Orbiting Satellite Observations in Capturing the Diurnal Variability of Tropospheric NO2: A Case Study Using TROPOMI, GOME-2C, and Pandora Data Y. Li et al. https://doi.org/10.3390/rs17162846
- Exploring the use of ground-based remote sensing to identify new particle formation events: A case study in the Beijing area Y. Zhang et al. https://doi.org/10.1016/j.scitotenv.2024.176693
- Characterization of Pandora Sky-Scan Modes from the Japan Pandora Network and Evaluation of Their Use in Validating Satellite NO2 and HCHO Retrievals N. Chi et al. https://doi.org/10.1021/acsestair.5c00223
Saved (final revised paper)
Latest update: 16 Aug 2026
Short summary
Nitrogen dioxide (NO2) is a trace gas which is important for atmospheric chemistry and may affect human health. To understand processes leading to harmful concentrations, it is important to monitor NO2 concentrations near the surface and higher up. To this end, a Pandora instrument has been installed in Beijing. An overview of the first year of data shows the large variability on diurnal to seasonal timescales and how this is affected by wind speed and direction and chemistry.
Nitrogen dioxide (NO2) is a trace gas which is important for atmospheric chemistry and may...
