42 citations as recorded by crossref.

1. Study of atmospheric glyoxal using multiple axis differential optical spectroscopy (MAX-DOAS) in India M. Biswas et al. https://doi.org/10.1016/j.atmosenv.2023.120109
2. Assessment of the NO2 Spatio-Temporal Variability over Thessaloniki, Greece, Using MAX-DOAS Measurements and Comparison with S5P/TROPOMI Observations D. Karagkiozidis et al. https://doi.org/10.3390/app13042641
3. Enhancing MAX-DOAS atmospheric state retrievals by multispectral polarimetry – studies using synthetic data J. Tirpitz et al. https://doi.org/10.5194/amt-15-2077-2022
4. Year-long ground-based observations of bromine oxide over Bharati Station, Antarctica S. Wagh et al. https://doi.org/10.1016/j.polar.2023.100977
5. 基于星地超光谱遥感和深度学习网络重构城市尺度臭氧三维分布 余. Yu Yanghe et al. https://doi.org/10.3788/AOS251823
6. 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. https://doi.org/10.5194/amt-16-5029-2023
7. Ground-based validation of the Copernicus Sentinel-5P TROPOMI NO2 measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks T. Verhoelst et al. https://doi.org/10.5194/amt-14-481-2021
8. Validation of TROPOMI tropospheric NO2 columns using dual-scan multi-axis differential optical absorption spectroscopy (MAX-DOAS) measurements in Uccle, Brussels E. Dimitropoulou et al. https://doi.org/10.5194/amt-13-5165-2020
9. Validation of tropospheric NO2 column measurements of GOME-2A and OMI using MAX-DOAS and direct sun network observations G. Pinardi et al. https://doi.org/10.5194/amt-13-6141-2020
10. Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation C. Lerot et al. https://doi.org/10.5194/amt-14-7775-2021
11. Fiducial Reference Measurements for Air Quality Monitoring Using Ground-Based MAX-DOAS Instruments (FRM4DOAS) M. Van Roozendael et al. https://doi.org/10.3390/rs16234523
12. Use of the PSCF method to analyze the variations of potential sources and transports of NO2, SO2, and HCHO observed by MAX-DOAS in Nanjing, China during 2019 B. Ren et al. https://doi.org/10.1016/j.scitotenv.2021.146865
13. A convolutional neural networks method for tropospheric ozone vertical distribution retrieval from Multi-AXis Differential Optical Absorption Spectroscopy measurements Z. Wang et al. https://doi.org/10.1016/j.scitotenv.2024.175049
14. Towards a New MAX-DOAS Measurement Site in the Po Valley: Aerosol Optical Depth and NO2 Tropospheric VCDs E. Castelli et al. https://doi.org/10.3390/rs17061035
15. On the influence of vertical mixing, boundary layer schemes, and temporal emission profiles on tropospheric NO2 in WRF-Chem – comparisons to in situ, satellite, and MAX-DOAS observations L. Kuhn et al. https://doi.org/10.5194/acp-24-185-2024
16. Technical note: Evaluation of profile retrievals of aerosols and trace gases for MAX-DOAS measurements under different aerosol scenarios based on radiative transfer simulations X. Tian et al. https://doi.org/10.5194/acp-21-12867-2021
17. Validation of GEMS tropospheric NO2 columns and their diurnal variation with ground-based DOAS measurements K. Lange et al. https://doi.org/10.5194/amt-17-6315-2024
18. NitroNet – a machine learning model for the prediction of tropospheric NO2 profiles from TROPOMI observations L. Kuhn et al. https://doi.org/10.5194/amt-17-6485-2024
19. Exploring Aerosol Vertical Distributions and Their Influencing Factors: Insight from MAX-DOAS and Machine Learning S. Zhang et al. https://doi.org/10.1021/acs.est.4c14483
20. A feasibility study to use machine learning as an inversion algorithm for aerosol profile and property retrieval from multi-axis differential absorption spectroscopy measurements Y. Dong et al. https://doi.org/10.5194/amt-13-5537-2020
21. Differences in iodine chemistry over the Antarctic continent A. Mahajan et al. https://doi.org/10.1016/j.polar.2023.101014
22. Evaluation of the coupled high-resolution atmospheric chemistry model system MECO(n) using in situ and MAX-DOAS NO2 measurements V. Kumar et al. https://doi.org/10.5194/amt-14-5241-2021
23. Evaluation of UV–visible MAX-DOAS aerosol profiling products by comparison with ceilometer, sun photometer, and in situ observations in Vienna, Austria S. Schreier et al. https://doi.org/10.5194/amt-14-5299-2021
24. Weekly derived top-down volatile-organic-compound fluxes over Europe from TROPOMI HCHO data from 2018 to 2021 G. Oomen et al. https://doi.org/10.5194/acp-24-449-2024
25. Comparison of GEMS v3.0 tropospheric NO 2 columns with ground-based DOAS instruments in Ulsan K. Bae et al. https://doi.org/10.1080/15481603.2025.2597604
26. Intercomparison of MAX-DOAS, FTIR and direct sun HCHO vertical columns at Xianghe, China G. Pinardi et al. https://doi.org/10.5194/amt-19-1259-2026
27. Observations of iodine monoxide over three summers at the Indian Antarctic bases of Bharati and Maitri A. Mahajan et al. https://doi.org/10.5194/acp-21-11829-2021
28. Deep learning approach for reconstructing three-dimensional distribution of NO2 on an urban scale Z. Zhang et al. https://doi.org/10.1016/j.rse.2025.114678
29. Extreme wildfires over Northern Greece during Summer 2023 – Part B. Adverse effects on regional air quality M. Koukouli et al. https://doi.org/10.1016/j.atmosres.2025.108034
30. Needs and challenges of optical atmospheric monitoring on the background of carbon neutrality in China W. Liu & C. Xing https://doi.org/10.1007/s11783-024-1833-2
31. Quantitative comparison of measured and simulated O4 absorptions for one day with extremely low aerosol load over the tropical Atlantic T. Wagner et al. https://doi.org/10.5194/amt-14-3871-2021
32. Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies on field data from the CINDI-2 campaign J. Tirpitz et al. https://doi.org/10.5194/amt-14-1-2021
33. 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
34. Inter-comparison of MAX-DOAS measurements of tropospheric HONO slant column densities and vertical profiles during the CINDI-2 campaign Y. Wang et al. https://doi.org/10.5194/amt-13-5087-2020
35. McPrA - A new gas profile inversion algorithm for MAX-DOAS and apply to 50 m vertical resolution J. Zheng et al. https://doi.org/10.1016/j.scitotenv.2023.165828
36. MAX-DOAS observations of ship emissions in the North Sea A. Mahajan et al. https://doi.org/10.1016/j.marpolbul.2024.116761
37. Validation of GEMS operational v2.0 total column NO2 and HCHO during the GMAP/SIJAQ campaign K. Bae et al. https://doi.org/10.1016/j.scitotenv.2025.179190
38. Calculating the vertical column density of O4 during daytime from surface values of pressure, temperature, and relative humidity S. Beirle et al. https://doi.org/10.5194/amt-15-987-2022
39. Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies using synthetic data U. Frieß et al. https://doi.org/10.5194/amt-12-2155-2019
40. Long-term MAX-DOAS measurements of NO2, HCHO, and aerosols and evaluation of corresponding satellite data products over Mohali in the Indo-Gangetic Plain V. Kumar et al. https://doi.org/10.5194/acp-20-14183-2020
41. Three years of MAX-DOAS observations of glyoxal and formaldehyde in Thessaloniki, Greece D. Nikolis et al. https://doi.org/10.1016/j.atmosenv.2026.122138
42. Stereoscopic hyperspectral remote sensing of the atmospheric environment: Innovation and prospects C. Liu et al. https://doi.org/10.1016/j.earscirev.2022.103958