Articles | Volume 11, issue 4
https://doi.org/10.5194/amt-11-2239-2018
© Author(s) 2018. 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-11-2239-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Apr 2018
Research article |
| 19 Apr 2018
| 19 Apr 2018
MAX-DOAS NO2 observations over Guangzhou, China; ground-based and satellite comparisons
Theano Drosoglou
CORRESPONDING AUTHOR
Laboratory of Atmospheric Physics, Aristotle University of
Thessaloniki, Thessaloniki, Greece
Maria Elissavet Koukouli
Laboratory of Atmospheric Physics, Aristotle University of
Thessaloniki, Thessaloniki, Greece
Natalia Kouremeti
Physikalisch-Meteorologisches Observatorium Davos, World Radiation
Center, Davos, Switzerland
Alkiviadis F. Bais
Laboratory of Atmospheric Physics, Aristotle University of
Thessaloniki, Thessaloniki, Greece
Irene Zyrichidou
Laboratory of Atmospheric Physics, Aristotle University of
Thessaloniki, Thessaloniki, Greece
Dimitris Balis
Laboratory of Atmospheric Physics, Aristotle University of
Thessaloniki, Thessaloniki, Greece
Ronald J. van der A
R&D Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
School of Atmospheric Physics, Nanjing University of Information Sciences and Technology, Nanjing, China
Jin Xu
Anhui Institute of Optics and Fine Mechanics Academy of Sciences
(AIOFM), Chinese Academy of Sciences (CAS), Hefei, China
Ang Li
Anhui Institute of Optics and Fine Mechanics Academy of Sciences
(AIOFM), Chinese Academy of Sciences (CAS), Hefei, China
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- Spatio-temporal variations of tropospheric nitrogen dioxide in South Mato Grosso based on remote sensing by satellite A. de Souza et al. 10.1007/s00703-021-00855-5
- Vertical characterization and potential sources of aerosols in different seasons over the Yangtze River Delta using ground-based MAX-DOAS J. Ou et al. 10.1016/j.envpol.2021.116898
- An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
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- Diagnosis of Ozone Formation Sensitivities in Different Height Layers via MAX‐DOAS Observations in Guangzhou H. Lin et al. 10.1029/2022JD036803
- Long-Term Variation in the Tropospheric Nitrogen Dioxide Vertical Column Density over Korea and Japan from the MAX-DOAS Network, 2007–2017 Y. Choi et al. 10.3390/rs13101937
20 citations as recorded by crossref.
- Satellite validation strategy assessments based on the AROMAT campaigns A. Merlaud et al. 10.5194/amt-13-5513-2020
- Improved Satellite Retrieval of Tropospheric NO2 Column Density via Updating of Air Mass Factor (AMF): Case Study of Southern China H. Mak et al. 10.3390/rs10111789
- Air Quality in Two Northern Greek Cities Revealed by Their Tropospheric NO2 Levels M. Koukouli et al. 10.3390/atmos13050840
- Assessment of the quality of TROPOMI high-spatial-resolution NO<sub>2</sub> data products in the Greater Toronto Area X. Zhao et al. 10.5194/amt-13-2131-2020
- Ground-based validation of the Copernicus Sentinel-5P TROPOMI NO<sub>2</sub> measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks T. Verhoelst et al. 10.5194/amt-14-481-2021
- Spatial Distribution and Temporal Trend of Tropospheric NO2 over the Wanjiang City Belt of China Y. Xie et al. 10.1155/2018/6597186
- On the effect of sea breeze regime on aerosols and gases properties in the urban area of Rome, Italy A. Di Bernardino et al. 10.1016/j.uclim.2021.100842
- Validation of Aura-OMI QA4ECV NO<sub>2</sub> climate data records with ground-based DOAS networks: the role of measurement and comparison uncertainties S. Compernolle et al. 10.5194/acp-20-8017-2020
- An improved air mass factor calculation for nitrogen dioxide measurements from the Global Ozone Monitoring Experiment-2 (GOME-2) S. Liu et al. 10.5194/amt-13-755-2020
- Spatio-temporal variations of tropospheric nitrogen dioxide in South Mato Grosso based on remote sensing by satellite A. de Souza et al. 10.1007/s00703-021-00855-5
- Vertical characterization and potential sources of aerosols in different seasons over the Yangtze River Delta using ground-based MAX-DOAS J. Ou et al. 10.1016/j.envpol.2021.116898
- An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
- Validation of tropospheric NO<sub>2</sub> column measurements of GOME-2A and OMI using MAX-DOAS and direct sun network observations G. Pinardi et al. 10.5194/amt-13-6141-2020
- Comparative Study on the Vertical Column Concentration Inversion Algorithm of Tropospheric Trace Gas Based on the MAX-DOAS Measurement Spectrum H. Wang et al. 10.3390/rs16183359
- Retrieval of total column and surface NO<sub>2</sub> from Pandora zenith-sky measurements X. Zhao et al. 10.5194/acp-19-10619-2019
- Ground-based MAX-DOAS observations of tropospheric formaldehyde and nitrogen dioxide: Insights into ozone formation sensitivity Y. Qian et al. 10.1016/j.apr.2024.102285
- An improved total and tropospheric NO<sub>2</sub> column retrieval for GOME-2 S. Liu et al. 10.5194/amt-12-1029-2019
- Inferring the anthropogenic NO<sub><i>x</i></sub> emission trend over the United States during 2003–2017 from satellite observations: was there a flattening of the emission trend after the Great Recession? J. Li & Y. Wang 10.5194/acp-19-15339-2019
- Diagnosis of Ozone Formation Sensitivities in Different Height Layers via MAX‐DOAS Observations in Guangzhou H. Lin et al. 10.1029/2022JD036803
- Long-Term Variation in the Tropospheric Nitrogen Dioxide Vertical Column Density over Korea and Japan from the MAX-DOAS Network, 2007–2017 Y. Choi et al. 10.3390/rs13101937
Latest update: 22 Nov 2024
Short summary
A diurnal pattern of tropospheric NO2 with two maxima around late morning and late afternoon is revealed, reflecting high anthropogenic emissions, and a minimum at noon, due to photochemical destruction of tropospheric NO2. GOME-2B shows the smallest underestimation despite its large pixel size. The distance between the measurement location and the satellite pixel center affects mostly GOME-2B data selection. The effect of clouds is more profound on the selection of OMI overpass data.
A diurnal pattern of tropospheric NO2 with two maxima around late morning and late afternoon is...
