64 citations as recorded by crossref.

1. The potential for geostationary remote sensing of NO<sub>2</sub> to improve weather prediction X. Liu et al. 10.5194/acp-21-9573-2021
2. On the feasibility of monitoring carbon monoxide in the lower troposphere from a constellation of northern hemisphere geostationary satellites: Global scale assimilation experiments (Part II) J. Barré et al. 10.1016/j.atmosenv.2016.06.001
3. Evaluation of the MACC operational forecast system – potential and challenges of global near-real-time modelling with respect to reactive gases in the troposphere A. Wagner et al. 10.5194/acp-15-14005-2015
4. Spatial-temporal variations in surface ozone over Ushuaia and the Antarctic region: observations from in situ measurements, satellite data, and global models M. Nadzir et al. 10.1007/s11356-017-0521-1
5. Evaluation of near-surface ozone over Europe from the MACC reanalysis E. Katragkou et al. 10.5194/gmd-8-2299-2015
6. Description of the NASA GEOS Composition Forecast Modeling System GEOS‐CF v1.0 C. Keller et al. 10.1029/2020MS002413
7. Global high-resolution simulations of tropospheric nitrogen dioxide using CHASER V4.0 T. Sekiya et al. 10.5194/gmd-11-959-2018
8. Detecting volcanic sulfur dioxide plumes in the Northern Hemisphere using the Brewer spectrophotometers, other networks, and satellite observations C. Zerefos et al. 10.5194/acp-17-551-2017
9. Update of Infrared Atmospheric Sounding Interferometer (IASI) channel selection with correlated observation errors for numerical weather prediction (NWP) O. Coopmann et al. 10.5194/amt-13-2659-2020
10. Impact of intercontinental pollution transport on North American ozone air pollution: an HTAP phase 2 multi-model study M. Huang et al. 10.5194/acp-17-5721-2017
11. Application of random forest regression to the calculation of gas-phase chemistry within the GEOS-Chem chemistry model v10 C. Keller & M. Evans 10.5194/gmd-12-1209-2019
12. Evaluation of the Ozone Fields in NASA’s MERRA-2 Reanalysis K. Wargan et al. 10.1175/JCLI-D-16-0699.1
13. C-IFS-CB05-BASCOE: stratospheric chemistry in the Integrated Forecasting System of ECMWF V. Huijnen et al. 10.5194/gmd-9-3071-2016
14. Particulate matter variability in Kathmandu based on in-situ measurements, remote sensing, and reanalysis data S. Becker et al. 10.1016/j.atmosres.2021.105623
15. The ENSO signal in atmospheric composition fields: emission-driven versus dynamically induced changes A. Inness et al. 10.5194/acp-15-9083-2015
16. The GLAM Airborne Campaign across the Mediterranean Basin P. Ricaud et al. 10.1175/BAMS-D-16-0226.1
17. Radiance-based retrieval bias mitigation for the MOPITT instrument: the version 8 product M. Deeter et al. 10.5194/amt-12-4561-2019
18. Atmospheric CH<sub>4</sub> and CO<sub>2</sub> enhancements and biomass burning emission ratios derived from satellite observations of the 2015 Indonesian fire plumes R. Parker et al. 10.5194/acp-16-10111-2016
19. A deep stratosphere-to-troposphere ozone transport event over Europe simulated in CAMS global and regional forecast systems: analysis and evaluation D. Akritidis et al. 10.5194/acp-18-15515-2018
20. The Environment and Climate Change Canada Carbon Assimilation System (EC-CAS v1.0): demonstration with simulated CO observations V. Khade et al. 10.5194/gmd-14-2525-2021
21. Monitoring and assimilation tests with TROPOMI data in the CAMS system: near-real-time total column ozone A. Inness et al. 10.5194/acp-19-3939-2019
22. Comparisons of Three-Dimensional Variational Data Assimilation and Model Output Statistics in Improving Atmospheric Chemistry Forecasts C. Ma et al. 10.1007/s00376-017-7179-y
23. European NO<sub><i>x</i></sub> emissions in WRF-Chem derived from OMI: impacts on summertime surface ozone A. Visser et al. 10.5194/acp-19-11821-2019
24. Study of SO Pollution in the Middle East Using MERRA‐2, CAMS Data Assimilation Products, and High‐Resolution WRF‐Chem Simulations A. Ukhov et al. 10.1029/2019JD031993
25. Exceptionally Low Arctic Stratospheric Ozone in Spring 2020 as Seen in the CAMS Reanalysis A. Inness et al. 10.1029/2020JD033563
26. Change of CO Concentration Due to the COVID-19 Lockdown in China Observed by Surface and Satellite Observations M. Zhou et al. 10.3390/rs13061129
27. Validation of reactive gases and aerosols in the MACC global analysis and forecast system H. Eskes et al. 10.5194/gmd-8-3523-2015
28. A 6-year-long (2013–2018) high-resolution air quality reanalysis dataset in China based on the assimilation of surface observations from CNEMC L. Kong et al. 10.5194/essd-13-529-2021
29. Comprehensive evaluation of the Copernicus Atmosphere Monitoring Service (CAMS) reanalysis against independent observations A. Wagner et al. 10.1525/elementa.2020.00171
30. Severe Californian wildfires in November 2018 observed from space: the carbon monoxide perspective O. Schneising et al. 10.5194/acp-20-3317-2020
31. Quantification of nitrogen oxides emissions from build-up of pollution over Paris with TROPOMI A. Lorente et al. 10.1038/s41598-019-56428-5
32. The CAMS reanalysis of atmospheric composition A. Inness et al. 10.5194/acp-19-3515-2019
33. Estimation of atmospheric total organic carbon (TOC) – paving the path towards carbon budget closure M. Yang & Z. Fleming 10.5194/acp-19-459-2019
34. Ensemble forecasts of air quality in eastern China – Part 1: Model description and implementation of the MarcoPolo–Panda prediction system, version 1 G. Brasseur et al. 10.5194/gmd-12-33-2019
35. Assessment of natural and anthropogenic aerosol air pollution in the Middle East using MERRA-2, CAMS data assimilation products, and high-resolution WRF-Chem model simulations A. Ukhov et al. 10.5194/acp-20-9281-2020
36. 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
37. In situ observations of greenhouse gases over Europe during the CoMet 1.0 campaign aboard the HALO aircraft M. Gałkowski et al. 10.5194/amt-14-1525-2021
38. Assessment of Tropospheric Concentrations of NO2 from the TROPOMI/Sentinel-5 Precursor for the Estimation of Long-Term Exposure to Surface NO2 over South Korea U. Jeong & H. Hong 10.3390/rs13101877
39. Evaluation of the CAMS global atmospheric trace gas reanalysis 2003–2016 using aircraft campaign observations Y. Wang et al. 10.5194/acp-20-4493-2020
40. A top-down assessment using OMI NO<sub>2</sub> suggests an underestimate in the NO<sub><i>x</i></sub> emissions inventory in Seoul, South Korea, during KORUS-AQ D. Goldberg et al. 10.5194/acp-19-1801-2019
41. Advanced Ultraviolet Radiation and Ozone Retrieval for Applications (AURORA): A Project Overview U. Cortesi et al. 10.3390/atmos9110454
42. TCCON and NDACC X<sub>CO</sub> measurements: difference, discussion and application M. Zhou et al. 10.5194/amt-12-5979-2019
43. Shipborne measurements of XCO<sub>2</sub>, XCH<sub>4</sub>, and XCO above the Pacific Ocean and comparison to CAMS atmospheric analyses and S5P/TROPOMI M. Knapp et al. 10.5194/essd-13-199-2021
44. Vertical Profiles of Tropospheric Ozone From MAX‐DOAS Measurements During the CINDI‐2 Campaign: Part 1—Development of a New Retrieval Algorithm Y. Wang et al. 10.1029/2018JD028647
45. Measuring Carbon Monoxide With TROPOMI: First Results and a Comparison With ECMWF-IFS Analysis Data T. Borsdorff et al. 10.1002/2018GL077045
46. Geostationary Emission Explorer for Europe (G3E): mission concept and initial performance assessment A. Butz et al. 10.5194/amt-8-4719-2015
47. Comparison between the assimilation of IASI Level 2 ozone retrievals and Level 1 radiances in a chemical transport model E. Emili et al. 10.5194/amt-12-3963-2019
48. Urban population exposure forecast system to predict NO2 impact by a building-resolving multi-scale model approach G. Veratti et al. 10.1016/j.atmosenv.2021.118566
49. Toward a chemical reanalysis in a coupled chemistry‐climate model: An evaluation of MOPITT CO assimilation and its impact on tropospheric composition B. Gaubert et al. 10.1002/2016JD024863
50. Characterizing Regional-Scale Combustion Using Satellite Retrievals of CO, NO2 and CO2 S. Silva & A. Arellano 10.3390/rs9070744
51. Evaluating high-resolution forecasts of atmospheric CO and CO<sub>2</sub> from a global prediction system during KORUS-AQ field campaign W. Tang et al. 10.5194/acp-18-11007-2018
52. Modeling Regional Pollution Transport Events During KORUS‐AQ: Progress and Challenges in Improving Representation of Land‐Atmosphere Feedbacks M. Huang et al. 10.1029/2018JD028554
53. Global analysis and forecasts of carbon monoxide on Mars J. Holmes et al. 10.1016/j.icarus.2019.03.016
54. Tropospheric carbon monoxide over the northern Indian Ocean during winter: influence of inter-continental transport I. Girach et al. 10.1007/s00382-020-05269-4
55. Surface ozone in the Doon Valley of the Himalayan foothills during spring N. Ojha et al. 10.1007/s11356-019-05085-2
56. Pollution trace gas distributions and their transport in the Asian monsoon upper troposphere and lowermost stratosphere during the StratoClim campaign 2017 S. Johansson et al. 10.5194/acp-20-14695-2020
57. A climate-scale satellite record for carbon monoxide: the MOPITT Version 7 product M. Deeter et al. 10.5194/amt-10-2533-2017
58. A perspective on the development of gas-phase chemical mechanisms for Eulerian air quality models W. Stockwell et al. 10.1080/10962247.2019.1694605
59. The CAMS interim Reanalysis of Carbon Monoxide, Ozone and Aerosol for 2003–2015 J. Flemming et al. 10.5194/acp-17-1945-2017
60. The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
61. Radiative forcing of climate change from the Copernicus reanalysis of atmospheric composition N. Bellouin et al. 10.5194/essd-12-1649-2020
62. Understanding and improving model representation of aerosol optical properties for a Chinese haze event measured during KORUS-AQ P. Saide et al. 10.5194/acp-20-6455-2020
63. A complex aerosol transport event over Europe during the 2017 Storm Ophelia in CAMS forecast systems: analysis and evaluation D. Akritidis et al. 10.5194/acp-20-13557-2020
64. Tropospheric chemistry in the Integrated Forecasting System of ECMWF J. Flemming et al. 10.5194/gmd-8-975-2015