61 citations as recorded by crossref.

1. Network for the Detection of Atmospheric Composition Change (NDACC) Fourier transform infrared (FTIR) trace gas measurements at the University of Toronto Atmospheric Observatory from 2002 to 2020 S. Yamanouchi et al. 10.5194/essd-15-3387-2023
2. Assessment of Updated Fuel‐Based Emissions Inventories Over the Contiguous United States Using TROPOMI NO2 Retrievals M. Li et al. 10.1029/2021JD035484
3. Spatial assessment of the seasonal impact of brickfields on air pollution in Dhaka metropolitan area using ordination techniques M. Mahboob et al. 10.1007/s11869-023-01345-w
4. Unveiling Air Pollution in Crimean Mountain Rivers: Analysis of Sentinel-5 Satellite Images Using Google Earth Engine (GEE) V. Tabunschik et al. 10.3390/rs15133364
5. Sources of Formaldehyde in U.S. Oil and Gas Production Regions B. Dix et al. 10.1021/acsearthspacechem.3c00203
6. 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
7. First Chinese ultraviolet–visible hyperspectral satellite instrument implicating global air quality during the COVID-19 pandemic in early 2020 C. Liu et al. 10.1038/s41377-022-00722-x
8. Investigation of 2021 wildfire impacts on air quality in southwestern Turkey M. Eke et al. 10.1016/j.atmosenv.2024.120445
9. Global Formaldehyde Products From the Ozone Mapping and Profiler Suite (OMPS) Nadir Mappers on Suomi NPP and NOAA‐20 C. Nowlan et al. 10.1029/2022EA002643
10. Observing Downwind Structures of Urban HCHO Plumes From Space: Implications to Non‐Methane Volatile Organic Compound Emissions X. Zuo et al. 10.1029/2023GL106062
11. 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
12. Air quality monitoring in Ukraine during 2022 military conflict using Sentinel-5P imagery M. Mehrabi et al. 10.1007/s11869-023-01488-w
13. Atmospheric Impacts of COVID-19 on NOx and VOC Levels over China Based on TROPOMI and IASI Satellite Data and Modeling T. Stavrakou et al. 10.3390/atmos12080946
14. Optimizing the Isoprene Emission Model MEGAN With Satellite and Ground‐Based Observational Constraints C. DiMaria et al. 10.1029/2022JD037822
15. Different Response Mechanisms of N‐Bearing Components to Emission Reduction Across China During COVID‐19 Lockdown Period R. Li et al. 10.1029/2023JD039496
16. Validation of OMPS Suomi NPP and OMPS NOAA‐20 Formaldehyde Total Columns With NDACC FTIR Observations H. Kwon et al. 10.1029/2022EA002778
17. Direct measurements of ozone response to emissions perturbations in California S. Wu et al. 10.5194/acp-22-4929-2022
18. Comparison of TROPOMI NO2, CO, HCHO, and SO2 data against ground‐level measurements in close proximity to large anthropogenic emission sources in the example of Ukraine M. Savenets et al. 10.1002/met.2108
19. Spatiotemporal changes in tropospheric nitrogen dioxide hotspot due to emission switch-off condition in the view of lockdown emergency in India S. Sarkar & D. Mondal 10.1007/s11869-022-01240-w
20. Characterization and potential for reducing optical resonances in Fourier transform infrared spectrometers of the Network for the Detection of Atmospheric Composition Change (NDACC) T. Blumenstock et al. 10.5194/amt-14-1239-2021
21. Intercomparison of CO measurements from TROPOMI, ACE-FTS, and a high-Arctic ground-based Fourier transform spectrometer T. Wizenberg et al. 10.5194/amt-14-7707-2021
22. Cross-evaluating WRF-Chem v4.1.2, TROPOMI, APEX, and in situ NO2 measurements over Antwerp, Belgium C. Poraicu et al. 10.5194/gmd-16-479-2023
23. Impact of Drought on Isoprene Fluxes Assessed Using Field Data, Satellite-Based GLEAM Soil Moisture and HCHO Observations from OMI B. Opacka et al. 10.3390/rs14092021
24. Bias correction of OMI HCHO columns based on FTIR and aircraft measurements and impact on top-down emission estimates J. Müller et al. 10.5194/acp-24-2207-2024
25. The influence of vegetation drought stress on formaldehyde and ozone distributions over a central European city H. Trimmel et al. 10.1016/j.atmosenv.2023.119768
26. Spatiotemporal estimation of TROPOMI NO2 column with depthwise partial convolutional neural network Y. Lops et al. 10.1007/s00521-023-08558-1
27. Inferring vertical variability and diurnal evolution of O3 formation sensitivity based on the vertical distribution of summertime HCHO and NO2 in Guangzhou, China Q. Hong et al. 10.1016/j.scitotenv.2022.154045
28. Atmospheric Formaldehyde Monitored by TROPOMI Satellite Instrument throughout 2020 over São Paulo State, Brazil A. Freitas & A. Fornaro 10.3390/rs14133032
29. Using machine learning approach to reproduce the measured feature and understand the model-to-measurement discrepancy of atmospheric formaldehyde H. Yin et al. 10.1016/j.scitotenv.2022.158271
30. Reduction in Anthropogenic Emissions Suppressed New Particle Formation and Growth: Insights From the COVID‐19 Lockdown V. Kanawade et al. 10.1029/2021JD035392
31. Russian Investigations in the Field of Atmospheric Radiation in 2019–2022 Y. Timofeyev et al. 10.1134/S0001433823150124
32. An improved TROPOMI tropospheric HCHO retrieval over China W. Su et al. 10.5194/amt-13-6271-2020
33. Global Significant Changes in Formaldehyde (HCHO) Columns Observed From Space at the Early Stage of the COVID‐19 Pandemic W. Sun et al. 10.1029/2020GL091265
34. Ambient Formaldehyde over the United States from Ground-Based (AQS) and Satellite (OMI) Observations P. Wang et al. 10.3390/rs14092191
35. Next‐Generation Isoprene Measurements From Space: Detecting Daily Variability at High Resolution K. Wells et al. 10.1029/2021JD036181
36. First retrievals of peroxyacetyl nitrate (PAN) from ground-based FTIR solar spectra recorded at remote sites, comparison with model and satellite data E. Mahieu et al. 10.1525/elementa.2021.00027
37. Analysis of Ozone Formation Sensitivity in Chinese Representative Regions Using Satellite and Ground-Based Data Y. Li et al. 10.3390/rs16020316
38. Vertical distribution characteristics and potential sources of atmospheric pollutants in the North China Plain basing on the MAX-DOAS measurement G. Liu & Y. Wang 10.1186/s12302-024-00902-z
39. Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation C. Lerot et al. 10.5194/amt-14-7775-2021
40. Characterization of errors in satellite-based HCHO ∕ NO2 tropospheric column ratios with respect to chemistry, column-to-PBL translation, spatial representation, and retrieval uncertainties A. Souri et al. 10.5194/acp-23-1963-2023
41. Implementation and evaluation of the automated model reduction (AMORE) version 1.1 isoprene oxidation mechanism in GEOS-Chem B. Yang et al. 10.1039/D3EA00121K
42. Comparison of formaldehyde tropospheric columns in Australia and New Zealand using MAX-DOAS, FTIR and TROPOMI R. Ryan et al. 10.5194/amt-13-6501-2020
43. First evaluation of the GEMS formaldehyde product against TROPOMI and ground-based column measurements during the in-orbit test period G. Lee et al. 10.5194/acp-24-4733-2024
44. Recommendations for HCHO and SO2 Retrieval Settings from MAX-DOAS Observations under Different Meteorological Conditions Z. Javed et al. 10.3390/rs13122244
45. Weekly derived top-down volatile-organic-compound fluxes over Europe from TROPOMI HCHO data from 2018 to 2021 G. Oomen et al. 10.5194/acp-24-449-2024
46. Modified Fourier transform and its properties D. Khan et al. 10.20948/mathmontis-2021-51-5
47. Source and variability of formaldehyde (HCHO) at northern high latitudes: an integrated satellite, aircraft, and model study T. Zhao et al. 10.5194/acp-22-7163-2022
48. OMI-observed HCHO in Shanghai, China, during 2010–2019 and ozone sensitivity inferred by an improved HCHO ∕ NO<sub>2</sub> ratio D. Li et al. 10.5194/acp-21-15447-2021
49. Twenty years of ground-based NDACC FTIR spectrometry at Izaña Observatory – overview and long-term comparison to other techniques O. García et al. 10.5194/acp-21-15519-2021
50. Investigating Changes in Ozone Formation Chemistry during Summertime Pollution Events over the Northeastern United States M. Tao et al. 10.1021/acs.est.2c02972
51. An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
52. 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
53. 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
54. 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
55. Mobile MAX-DOAS observations of tropospheric NO2 and HCHO during summer over the Three Rivers' Source region in China S. Cheng et al. 10.5194/acp-23-3655-2023
56. Examining TROPOMI formaldehyde to nitrogen dioxide ratios in the Lake Michigan region: implications for ozone exceedances J. Acdan et al. 10.5194/acp-23-7867-2023
57. Air quality impacts of COVID-19 lockdown measures detected from space using high spatial resolution observations of multiple trace gases from Sentinel-5P/TROPOMI P. Levelt et al. 10.5194/acp-22-10319-2022
58. Identification of volatile organic compound emissions from anthropogenic and biogenic sources based on satellite observation of formaldehyde and glyoxal Y. Chen et al. 10.1016/j.scitotenv.2022.159997
59. 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
60. City-scale methane emissions from the midstream oil and gas industry: A satellite survey of the Zhoushan archipelago X. Yang et al. 10.1016/j.jclepro.2024.141673
61. 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