58 citations as recorded by crossref.

1. How consistent are top-down hydrocarbon emissions based on formaldehyde observations from GOME-2 and OMI? T. Stavrakou et al. 10.5194/acp-15-11861-2015
2. The 2005–2016 Trends of Formaldehyde Columns Over China Observed by Satellites: Increasing Anthropogenic Emissions of Volatile Organic Compounds and Decreasing Agricultural Fire Emissions L. Shen et al. 10.1029/2019GL082172
3. Ground-Based MAX-DOAS Measurements of Tropospheric Aerosols, NO2, and HCHO Distributions in the Urban Environment of Shanghai, China H. Wang et al. 10.3390/rs14071726
4. High-resolution airborne imaging DOAS measurements of NO<sub>2</sub> above Bucharest during AROMAT A. Meier et al. 10.5194/amt-10-1831-2017
5. Ground-based MAX-DOAS observations of tropospheric aerosols, NO<sub>2</sub>, SO<sub>2</sub> and HCHO in Wuxi, China, from 2011 to 2014 Y. Wang et al. 10.5194/acp-17-2189-2017
6. A New Portable Instrument for Online Measurements of Formaldehyde: From Ambient to Mobile Emission Sources M. Zhu et al. 10.1021/acs.estlett.0c00169
7. 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
8. Is a scaling factor required to obtain closure between measured and modelled atmospheric O<sub>4</sub> absorptions? An assessment of uncertainties of measurements and radiative transfer simulations for 2 selected days during the MAD-CAT campaign T. Wagner et al. 10.5194/amt-12-2745-2019
9. Vertical distributions of wintertime atmospheric nitrogenous compounds and the corresponding OH radicals production in Leshan, southwest China C. Xing et al. 10.1016/j.jes.2020.11.019
10. Validation of OMI, GOME-2A and GOME-2B tropospheric NO<sub>2</sub>, SO<sub>2</sub> and HCHO products using MAX-DOAS observations from 2011 to 2014 in Wuxi, China: investigation of the effects of priori profiles and aerosols on the satellite products Y. Wang et al. 10.5194/acp-17-5007-2017
11. Diagnosis of Ozone Formation Sensitivities in Different Height Layers via MAX‐DOAS Observations in Guangzhou H. Lin et al. 10.1029/2022JD036803
12. Ground-Based MAX-DOAS Observation of Trace Gases from 2019 to 2021 in Huaibei, China F. Mou et al. 10.3390/atmos14040739
13. Air quality trends in rural India: analysis of NO2 pollution using satellite measurements M. Pathak & J. Kuttippurath 10.1039/D2EM00293K
14. The AERONET Version 3 aerosol retrieval algorithm, associated uncertainties and comparisons to Version 2 A. Sinyuk et al. 10.5194/amt-13-3375-2020
15. Daytime HONO, NO<sub>2</sub> and aerosol distributions from MAX-DOAS observations in Melbourne R. Ryan et al. 10.5194/acp-18-13969-2018
16. 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. 10.5194/amt-14-5299-2021
17. Tropospheric bromine monoxide vertical profiles retrieved across the Alaskan Arctic in springtime N. Brockway et al. 10.5194/acp-24-23-2024
18. An improved total and tropospheric NO<sub>2</sub> column retrieval for GOME-2 S. Liu et al. 10.5194/amt-12-1029-2019
19. Cloud and aerosol classification for 2.5 years of MAX-DOAS observations in Wuxi (China) and comparison to independent data sets Y. Wang et al. 10.5194/amt-8-5133-2015
20. 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. 10.5194/acp-21-12867-2021
21. Observations of Integral Formaldehyde Content in the Lower Troposphere in Urban Agglomerations of Moscow and Tomsk Using the Method of Differential Optical Absorption Spectroscopy I. Bruchkouski et al. 10.1134/S1024856019030047
22. Estimation of winter time NOx emissions in Hefei, a typical inland city of China, using mobile MAX-DOAS observations W. Tan et al. 10.1016/j.atmosenv.2018.12.009
23. Long-term MAX-DOAS measurements of NO<sub>2</sub>, HCHO, and aerosols and evaluation of corresponding satellite data products over Mohali in the Indo-Gangetic Plain V. Kumar et al. 10.5194/acp-20-14183-2020
24. 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
25. Aerosol vertical profile retrieved from ground-based MAX-DOAS observation and characteristic distribution during wintertime in Shanghai, China J. Zhang et al. 10.1016/j.atmosenv.2018.08.051
26. Observations by Ground-Based MAX-DOAS of the Vertical Characters of Winter Pollution and the Influencing Factors of HONO Generation in Shanghai, China S. Xu et al. 10.3390/rs13173518
27. Vertical profiles of NO<sub>2</sub>, SO<sub>2</sub>, HONO, HCHO, CHOCHO and aerosols derived from MAX-DOAS measurements at a rural site in the central western North China Plain and their relation to emission sources and effects of regional transport Y. Wang et al. 10.5194/acp-19-5417-2019
28. Intercomparison of NO<sub>2</sub>, O<sub>4</sub>, O<sub>3</sub> and HCHO slant column measurements by MAX-DOAS and zenith-sky UV–visible spectrometers during CINDI-2 K. Kreher et al. 10.5194/amt-13-2169-2020
29. Adjoint inversion of Chinese non-methane volatile organic compound emissions using space-based observations of formaldehyde and glyoxal H. Cao et al. 10.5194/acp-18-15017-2018
30. Validation of Water Vapor Vertical Distributions Retrieved from MAX-DOAS over Beijing, China H. Lin et al. 10.3390/rs12193193
31. Investigations of the Diurnal Variation of Vertical HCHO Profiles Based on MAX-DOAS Measurements in Beijing: Comparisons with OMI Vertical Column Data H. Lee et al. 10.3390/atmos6111816
32. The first evaluation of formaldehyde column observations by improved Pandora spectrometers during the KORUS-AQ field study E. Spinei et al. 10.5194/amt-11-4943-2018
33. Development of LED-DOAS system for observing aerosol optical properties in the lower troposphere J. Aminuddin et al. 10.1088/1742-6596/1341/8/082006
34. Diurnal, seasonal and long-term variations of global formaldehyde columns inferred from combined OMI and GOME-2 observations I. De Smedt et al. 10.5194/acp-15-12519-2015
35. 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
36. 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
37. Intercomparison of aerosol extinction profiles retrieved from MAX-DOAS measurements U. Frieß et al. 10.5194/amt-9-3205-2016
38. Observations of the vertical distributions of summertime atmospheric pollutants and the corresponding ozone production in Shanghai, China C. Xing et al. 10.5194/acp-17-14275-2017
39. Spatiotemporal Distribution, Sources, and Impact on Atmospheric Oxidation of Reactive Nitrogen Oxides in the North China Plain Agricultural Regions in Summer S. Wei et al. 10.3390/rs16173192
40. Comparative observation of aerosol vertical profiles in urban and suburban areas: Impacts of local and regional transport J. Zhu et al. 10.1016/j.scitotenv.2021.150363
41. Validation of OMI HCHO Products Using MAX-DOAS observations from 2010 to 2016 in Xianghe, Beijing: Investigation of the Effects of Aerosols on Satellite Products Y. Wang et al. 10.3390/rs11020203
42. Ground-Based Hyperspectral Stereoscopic Remote Sensing Network: A Promising Strategy to Learn Coordinated Control of O3 and PM2.5 over China C. Liu et al. 10.1016/j.eng.2021.02.019
43. Study of aerosol characteristics and sources using MAX-DOAS measurement during haze at an urban site in the Fenwei Plain X. Li et al. 10.1016/j.jes.2020.12.015
44. MAX-DOAS retrieval of aerosol extinction properties in Madrid, Spain S. Wang et al. 10.5194/amt-9-5089-2016
45. Assessment of vertical characterization and potential sources of aerosols in different altitude layers: Combined application of MAX-DOAS observation and the 3D-CWT model J. Chen et al. 10.1016/j.atmosres.2023.107046
46. The Mainz profile algorithm (MAPA) S. Beirle et al. 10.5194/amt-12-1785-2019
47. Enhancing MAX-DOAS atmospheric state retrievals by multispectral polarimetry – studies using synthetic data J. Tirpitz et al. 10.5194/amt-15-2077-2022
48. Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies using synthetic data U. Frieß et al. 10.5194/amt-12-2155-2019
49. BOREAS – a new MAX-DOAS profile retrieval algorithm for aerosols and trace gases T. Bösch et al. 10.5194/amt-11-6833-2018
50. Vertical distributions and potential sources of wintertime atmospheric pollutants and the corresponding ozone production on the coast of Bohai Sea C. Xing et al. 10.1016/j.jenvman.2022.115721
51. Inter-comparison of MAX-DOAS measurements of tropospheric HONO slant column densities and vertical profiles during the CINDI-2 campaign Y. Wang et al. 10.5194/amt-13-5087-2020
52. 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
53. 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
54. Absolute calibration of the colour index and O<sub>4</sub> absorption derived from Multi AXis (MAX-)DOAS measurements and their application to a standardised cloud classification algorithm T. Wagner et al. 10.5194/amt-9-4803-2016
55. 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
56. Evaluation of MAX-DOAS Profile Retrievals under Different Vertical Resolutions of Aerosol and NO2 Profiles and Elevation Angles X. Tian et al. 10.3390/rs15225431
57. Source contribution analysis of tropospheric NO2 based on two-dimensional MAX-DOAS measurements T. Yang et al. 10.1016/j.atmosenv.2019.04.058
58. Impact of aerosols on the OMI tropospheric NO<sub>2</sub> retrievals over industrialized regions: how accurate is the aerosol correction of cloud-free scenes via a simple cloud model? J. Chimot et al. 10.5194/amt-9-359-2016