135 citations as recorded by crossref.

1. 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
2. New Insights for Tracking Global and Local Trends in Exposure to Air Pollutants M. Wolf et al. 10.1021/acs.est.1c08080
3. Top-of-atmosphere hyper and multispectral signatures of submerged plastic litter with changing water clarity and depth S. Garaba & T. Harmel 10.1364/OE.451415
4. The CAMS reanalysis of atmospheric composition A. Inness et al. 10.5194/acp-19-3515-2019
5. An Analysis of Meteorological Characteristics for Fine Particles on the Korean Peninsula during Wintertime, 2015-2021 J. Jee et al. 10.5572/KOSAE.2022.38.3.394
6. M2‐SCREAM: A Stratospheric Composition Reanalysis of Aura MLS Data With MERRA‐2 Transport K. Wargan et al. 10.1029/2022EA002632
7. A convolutional neural networks method for tropospheric ozone vertical distribution retrieval from Multi-AXis Differential Optical Absorption Spectroscopy measurements Z. Wang et al. 10.1016/j.scitotenv.2024.175049
8. Numerical simulation of forest fires and possibilities to estimate aerosol emission: Recent advances N. Baranovskiy et al. 10.1016/j.firesaf.2024.104250
9. Quantifying uncertainties due to chemistry modelling – evaluation of tropospheric composition simulations in the CAMS model (cycle 43R1) V. Huijnen et al. 10.5194/gmd-12-1725-2019
10. Source Contributions to Carbon Monoxide Concentrations During KORUS‐AQ Based on CAM‐chem Model Applications W. Tang et al. 10.1029/2018JD029151
11. Australian Bushfires (2019–2020): Aerosol Optical Properties and Radiative Forcing C. Papanikolaou et al. 10.3390/atmos13060867
12. Assessment of Direct Normal Irradiance Forecasts Based on IFS/ECMWF Data and Observations in the South of Portugal J. Perdigão et al. 10.3390/forecast2020007
13. Intercomparison of aerosol optical depths from four reanalyses and their multi-reanalysis consensus P. Xian et al. 10.5194/acp-24-6385-2024
14. Comprehensive evaluation of the Copernicus Atmosphere Monitoring Service (CAMS) reanalysis against independent observations A. Wagner et al. 10.1525/elementa.2020.00171
15. Comparison of ozonesonde measurements in the upper troposphere and lower Stratosphere in Northern India with reanalysis and chemistry-climate-model data S. Fadnavis et al. 10.1038/s41598-023-34330-5
16. Advances in air quality modeling and forecasting A. Baklanov & Y. Zhang 10.1016/j.glt.2020.11.001
17. Impacts of long-range transport of aerosols on marine-boundary-layer clouds in the eastern North Atlantic Y. Wang et al. 10.5194/acp-20-14741-2020
18. Application of satellite observations in conjunction with aerosol reanalysis to characterize long-range transport of African and Asian dust on air quality in the contiguous U.S. S. Chen et al. 10.1016/j.atmosenv.2018.05.038
19. 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
20. Influences of atmospheric reanalysis on the accuracy of clear-sky irradiance estimates: Comparing MERRA-2 and CAMS D. Fu et al. 10.1016/j.atmosenv.2022.119080
21. The ERA5 global reanalysis H. Hersbach et al. 10.1002/qj.3803
22. Automated time–height-resolved air mass source attribution for profiling remote sensing applications M. Radenz et al. 10.5194/acp-21-3015-2021
23. An intercomparison of ozone taken from the Copernicus atmosphere monitoring service and the second Modern-Era retrospective analysis for research and applications over China during 2018 and 2019 Y. Zhang et al. 10.1016/j.jes.2022.01.045
24. Model simulation of ammonium and nitrate aerosols distribution in the Euro-Mediterranean region and their radiative and climatic effects over 1979–2016 T. Drugé et al. 10.5194/acp-19-3707-2019
25. 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
26. Can the aerosol pollution extreme events be revealed by global reanalysis products? J. Li et al. 10.1016/j.scitotenv.2024.171424
27. Influence of anthropogenic emission inventories on simulations of air quality in China during winter and summer 2010 I. Bouarar et al. 10.1016/j.atmosenv.2018.10.043
28. Can the Direct Effect of Aerosols Improve Subseasonal Predictability? A. Benedetti & F. Vitart 10.1175/MWR-D-17-0282.1
29. 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
30. Assessment of global and regional PM10 CAMSRA data: comparison to observed data in Morocco I. Sekmoudi et al. 10.1007/s11356-021-12783-3
31. Study of mixing ratios of SO2 in a tropical rural environment in south India K. Renuka et al. 10.1007/s12040-020-1366-4
32. A stratospheric prognostic ozone for seamless Earth system models: performance, impacts and future B. Monge-Sanz et al. 10.5194/acp-22-4277-2022
33. Impacts of Aerosols and Climate Modes on Tropical Cyclone Frequency over the North Indian Ocean: A Statistical Link Approach M. Wahiduzzaman et al. 10.1175/JCLI-D-21-0228.1
34. Influence of ENSO on Tropospheric Ozone Variability in East Asia Y. Jeong et al. 10.1029/2023JD038604
35. Winds of fire and smoke: Air pollution and health in the Brazilian Amazon R. Rocha & A. Sant’Anna 10.1016/j.worlddev.2021.105722
36. Worldwide validation of CAMS and MERRA-2 reanalysis aerosol optical depth products using 15 years of AERONET observations C. Gueymard & D. Yang 10.1016/j.atmosenv.2019.117216
37. Synthesis of Zeolites from Coal Fly Ash for Removal of Harmful Gaseous Pollutants: A Review X. Ren et al. 10.4209/aaqr.2019.12.0651
38. Investigation of spaceborne trace gas products over St Petersburg and Yekaterinburg, Russia, by using COllaborative Column Carbon Observing Network (COCCON) observations C. Alberti et al. 10.5194/amt-15-2199-2022
39. Can Forest Fires Be an Important Factor in the Reduction in Solar Power Production in India? U. Dumka et al. 10.3390/rs14030549
40. Air pollution, sociodemographic and health conditions effects on COVID-19 mortality in Colombia: An ecological study L. Rodriguez-Villamizar et al. 10.1016/j.scitotenv.2020.144020
41. An accurate and efficient forecast framework for fine PM2.5 maps using spatiotemporal recurrent neural networks N. Liu et al. 10.1016/j.jclepro.2024.143624
42. JRAero: the Japanese Reanalysis for Aerosol v1.0 K. Yumimoto et al. 10.5194/gmd-10-3225-2017
43. Technical note: Evaluation of the Copernicus Atmosphere Monitoring Service Cy48R1 upgrade of June 2023 H. Eskes et al. 10.5194/acp-24-9475-2024
44. Renewal of aerosol data for ALADIN-HIRLAM radiation parametrizations L. Rontu et al. 10.5194/asr-16-129-2019
45. An intercomparison of tropospheric ozone reanalysis products from CAMS, CAMS interim, TCR-1, and TCR-2 V. Huijnen et al. 10.5194/gmd-13-1513-2020
46. Transport of Mineral Dust Into the Arctic in Two Reanalysis Datasets of Atmospheric Composition S. Böö et al. 10.16993/tellusb.1866
47. Evaluation of Himawari-8/AHI, MERRA-2, and CAMS Aerosol Products over China T. Zhang et al. 10.3390/rs12101684
48. Evaluation of ECMWF IFS-AER (CAMS) operational forecasts during cycle 41r1–46r1 with calibrated ceilometer profiles over Germany H. Flentje et al. 10.5194/gmd-14-1721-2021
49. Chemical Mechanisms and Their Applications in the Goddard Earth Observing System (GEOS) Earth System Model J. Nielsen et al. 10.1002/2017MS001011
50. Weather Effects of Aerosols in the Global Forecast Model G. Jeong 10.3390/atmos11080850
51. A Comprehensive Analysis of AOD and its Species from Reanalysis Data over the Middle East and North Africa Regions: Evaluation of Model Performance Using Machine Learning Techniques S. Berhane et al. 10.1007/s41748-024-00513-x
52. A Flexible and Efficient Radiation Scheme for the ECMWF Model R. Hogan & A. Bozzo 10.1029/2018MS001364
53. Data assimilation experiments over Europe with the Chemical Transport Model FARM M. Adani & F. Uboldi 10.1016/j.atmosenv.2023.119806
54. Numerical model generation of test frames for pre-launch studies of EarthCARE's retrieval algorithms and data management system Z. Qu et al. 10.5194/amt-16-4927-2023
55. Greenhouse gas column observations from a portable spectrometer in Uganda N. Humpage et al. 10.5194/amt-17-5679-2024
56. Modeling radiative and climatic effects of brown carbon aerosols with the ARPEGE-Climat global climate model T. Drugé et al. 10.5194/acp-22-12167-2022
57. An improved representation of aerosol in the ECMWF IFS-COMPO 49R1 through the integration of EQSAM4Climv12 – a first attempt at simulating aerosol acidity S. Rémy et al. 10.5194/gmd-17-7539-2024
58. Evaluating the assimilation of S5P/TROPOMI near real-time SO<sub>2</sub> columns and layer height data into the CAMS integrated forecasting system (CY47R1), based on a case study of the 2019 Raikoke eruption A. Inness et al. 10.5194/gmd-15-971-2022
59. Impacts of different characterizations of large-scale background on simulated regional-scale ozone over the continental United States C. Hogrefe et al. 10.5194/acp-18-3839-2018
60. 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
61. Combining Machine Learning and Numerical Simulation for High-Resolution PM2.5 Concentration Forecast J. Bi et al. 10.1021/acs.est.1c05578
62. Revisiting the relationship between Atlantic dust and tropical cyclone activity using aerosol optical depth reanalyses: 2003–2018 P. Xian et al. 10.5194/acp-20-15357-2020
63. Evaluation and comparison of CMIP6 models and MERRA-2 reanalysis AOD against Satellite observations from 2000 to 2014 over China M. Ali et al. 10.1016/j.gsf.2021.101325
64. A 3-D evaluation of the MACC reanalysis dust product over Europe, northern Africa and Middle East using CALIOP/CALIPSO dust satellite observations A. Georgoulias et al. 10.5194/acp-18-8601-2018
65. The Space Carbon Observatory (SCARBO) concept: assessment of XCO2 and XCH4 retrieval performance M. Dogniaux et al. 10.5194/amt-15-4835-2022
66. Surface ozone in the Doon Valley of the Himalayan foothills during spring N. Ojha et al. 10.1007/s11356-019-05085-2
67. JEDI‐Based Three‐Dimensional Ensemble‐Variational Data Assimilation System for Global Aerosol Forecasting at NCEP B. Huang et al. 10.1029/2022MS003232
68. Calibrating a global atmospheric chemistry transport model using Gaussian process emulation and ground-level concentrations of ozone and carbon monoxide E. Ryan & O. Wild 10.5194/gmd-14-5373-2021
69. Balance of Emission and Dynamical Controls on Ozone During the Korea‐United States Air Quality Campaign From Multiconstituent Satellite Data Assimilation K. Miyazaki et al. 10.1029/2018JD028912
70. Dust Constraints from joint Observational-Modelling-experiMental analysis (DustCOMM): comparison with measurements and model simulations A. Adebiyi et al. 10.5194/acp-20-829-2020
71. Spatiotemporal changes in aerosols over Bangladesh using 18 years of MODIS and reanalysis data M. Ali et al. 10.1016/j.jenvman.2022.115097
72. Spatiotemporal Variations in Summertime Arctic Aerosol Optical Depth Caused by Synoptic‐Scale Atmospheric Circulation in Three Reanalyses A. Yamagami et al. 10.1029/2022JD038007
73. 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
74. An aerosol climatology for global models based on the tropospheric aerosol scheme in the Integrated Forecasting System of ECMWF A. Bozzo et al. 10.5194/gmd-13-1007-2020
75. Comparative analysis of PM10 concentrations in Nukus and Tashkent, Uzbekistan: Ground observations, CAMS, and MERRA-2 reanalysis N. Rakhmatova et al. 10.1051/e3sconf/202457504008
76. Improved representation of the global dust cycle using observational constraints on dust properties and abundance J. Kok et al. 10.5194/acp-21-8127-2021
77. Assimilation of S5P/TROPOMI carbon monoxide data with the global CAMS near-real-time system A. Inness et al. 10.5194/acp-22-14355-2022
78. A process-oriented evaluation of CAMS reanalysis ozone during tropopause folds over Europe for the period 2003–2018 D. Akritidis et al. 10.5194/acp-22-6275-2022
79. Black carbon and biomass burning associated high pollution episodes observed at Doon valley in the foothills of the Himalayas V. Prabhu et al. 10.1016/j.atmosres.2020.105001
80. Sunglint correction of the Multi-Spectral Instrument (MSI)-SENTINEL-2 imagery over inland and sea waters from SWIR bands T. Harmel et al. 10.1016/j.rse.2017.10.022
81. Geostationary aerosol retrievals of extreme biomass burning plumes during the 2019–2020 Australian bushfires D. Robbins et al. 10.5194/amt-17-3279-2024
82. Assessment and economic valuation of air pollution impacts on human health over Europe and the United States as calculated by a multi-model ensemble in the framework of AQMEII3 U. Im et al. 10.5194/acp-18-5967-2018
83. Comparison of statistical post-processing methods for probabilistic NWP forecasts of solar radiation K. Bakker et al. 10.1016/j.solener.2019.08.044
84. Improving Forecasts of Biomass Burning Emissions with the Fire Weather Index F. Di Giuseppe et al. 10.1175/JAMC-D-16-0405.1
85. Accuracy assessment of CAMS and MERRA-2 reanalysis PM2.5 and PM10 concentrations over China M. Ali et al. 10.1016/j.atmosenv.2022.119297
86. Credibility and statistical characteristics of CAMSRA and MERRA-2 AOD reanalysis products over the Sichuan Basin during 2003–2018 H. Liu et al. 10.1016/j.atmosenv.2020.117980
87. Evaluation of MERRA-2 and CAMS reanalysis for black carbon aerosol in China W. Li et al. 10.1016/j.envpol.2023.123182
88. Evaluation of tropospheric ozone reanalyses with independent ozonesonde observations in East Asia S. Park et al. 10.1186/s40562-020-00161-9
89. 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
90. A Decadal Data Set of Global Atmospheric Dust Retrieved From IASI Satellite Measurements L. Clarisse et al. 10.1029/2018JD029701
91. Air pollution scenario over Pakistan: Characterization and ranking of extremely polluted cities using long-term concentrations of aerosols and trace gases M. Bilal et al. 10.1016/j.rse.2021.112617
92. Trends in sulfur dioxide over the Indian subcontinent during 2003–2019 L. Chutia et al. 10.1016/j.atmosenv.2022.119189
93. Global analysis and forecasts of carbon monoxide on Mars J. Holmes et al. 10.1016/j.icarus.2019.03.016
94. Monitoring biomass burning aerosol transport using CALIOP observations and reanalysis models: a Canadian wildfire event in 2019 X. Shang et al. 10.5194/acp-24-1329-2024
95. Inferring atmospheric dynamics from aerosol observations in 4D‐Var Ž. Zaplotnik et al. 10.1002/qj.3743
96. Linking air stagnation in Europe with the synoptic- to large-scale atmospheric circulation J. Maddison et al. 10.5194/wcd-2-675-2021
97. Ozone variability, its formation potential and crops losses in the himalayan foothills M. Rajwar et al. 10.1007/s11869-024-01572-9
98. Estimation of Stratospheric Intrusions During Indian Cyclones C. Roy et al. 10.1029/2022JD037519
99. Avoidable mortality due to long-term exposure to PM2.5 in Colombia 2014–2019 L. Rodriguez-Villamizar et al. 10.1186/s12940-022-00947-8
100. The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) R. Gelaro et al. 10.1175/JCLI-D-16-0758.1
101. Probabilistic merging and verification of monthly gridded aerosol products D. Yang & C. Gueymard 10.1016/j.atmosenv.2020.118146
102. Improving ozone simulations in Asia via multisource data assimilation: results from an observing system simulation experiment with GEMS geostationary satellite observations L. Shu et al. 10.5194/acp-23-3731-2023
103. Updated tropospheric chemistry reanalysis and emission estimates, TCR-2, for 2005–2018 K. Miyazaki et al. 10.5194/essd-12-2223-2020
104. Exceptionally Low Arctic Stratospheric Ozone in Spring 2020 as Seen in the CAMS Reanalysis A. Inness et al. 10.1029/2020JD033563
105. Evaluation of a multi-model, multi-constituent assimilation framework for tropospheric chemical reanalysis K. Miyazaki et al. 10.5194/acp-20-931-2020
106. HCLIM38: a flexible regional climate model applicable for different climate zones from coarse to convection-permitting scales D. Belušić et al. 10.5194/gmd-13-1311-2020
107. Comparison of CAMS and CMAQ analyses of surface-level PM2.5 and O3 over the conterminous United States (CONUS) J. Lee et al. 10.1016/j.atmosenv.2024.120833
108. A Review of Data Assimilation on Aerosol Optical, Radiative, and Climatic Effects Study Y. Cheng et al. 10.1007/s41810-022-00142-9
109. 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
110. NOx‐Induced Changes in Upper Tropospheric O3 During the Asian Summer Monsoon in Present‐Day and Future Climate C. Roy et al. 10.1029/2022GL101439
111. Evaluating the representation of Arctic cirrus solar radiative effects in the Integrated Forecasting System with airborne measurements J. Röttenbacher et al. 10.5194/acp-24-8085-2024
112. Description and evaluation of the tropospheric aerosol scheme in the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS-AER, cycle 45R1) S. Rémy et al. 10.5194/gmd-12-4627-2019
113. Tropospheric ozone data assimilation in the NASA GEOS Composition Forecast modeling system (GEOS-CF v2.0) using satellite data for ozone vertical profiles (MLS), total ozone columns (OMI), and thermal infrared radiances (AIRS, IASI) M. Kelp et al. 10.1088/1748-9326/acf0b7
114. A Global Climatology of Tropopause Folds in CAMS and MERRA‐2 Reanalyses D. Akritidis et al. 10.1029/2020JD034115
115. Satellite observations of aerosols and clouds over southern China from 2006 to 2015: analysis of changes and possible interaction mechanisms N. Benas et al. 10.5194/acp-20-457-2020
116. The prototype NOAA Aerosol Reanalysis version 1.0: description of the modeling system and its evaluation S. Wei et al. 10.5194/gmd-17-795-2024
117. Catastrophic PM2.5 emissions from Siberian forest fires: Impacting factors analysis A. Romanov et al. 10.1016/j.envpol.2022.119324
118. Dynamic evaluation of modeled ozone concentrations in Germany with four chemistry transport models M. Thürkow et al. 10.1016/j.scitotenv.2023.167665
119. Application of a regional climate model on autumn dust events over the Urmia Basin E. Hassan et al. 10.1016/j.apr.2023.101904
120. Evaluating and comparison of WRF-chem model configurations for wind field impact on the April 2022 dust episode in western Iran E. Hassan et al. 10.1016/j.atmosenv.2024.120892
121. Advanced Ultraviolet Radiation and Ozone Retrieval for Applications (AURORA): A Project Overview U. Cortesi et al. 10.3390/atmos9110454
122. Sixteen years of MOPITT satellite data strongly constrain Amazon CO fire emissions S. Naus et al. 10.5194/acp-22-14735-2022
123. Investigation of long-range transported PM2.5 events over Northern Taiwan during 2005–2015 winter seasons W. Hung et al. 10.1016/j.atmosenv.2019.116920
124. Air quality modeling intercomparison and multiscale ensemble chain for Latin America J. Pachón et al. 10.5194/gmd-17-7467-2024
125. Vertical aerosol data assimilation technology and application based on satellite and ground lidar: A review and outlook T. Yang et al. 10.1016/j.jes.2022.04.012
126. Evaluation of ACCMIP ozone simulations and ozonesonde sampling biases using a satellite-based multi-constituent chemical reanalysis K. Miyazaki & K. Bowman 10.5194/acp-17-8285-2017
127. Chemical Feedback From Decreasing Carbon Monoxide Emissions B. Gaubert et al. 10.1002/2017GL074987
128. Aerosol above-cloud direct radiative effect and properties in the Namibian region during the AErosol, RadiatiOn, and CLOuds in southern Africa (AEROCLO-sA) field campaign – Multi-Viewing, Multi-Channel, Multi-Polarization (3MI) airborne simulator and sun photometer measurements A. Chauvigné et al. 10.5194/acp-21-8233-2021
129. Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 1: Climatology and trend P. Xian et al. 10.5194/acp-22-9915-2022
130. A three-dimensional-model inversion of methyl chloroform to constrain the atmospheric oxidative capacity S. Naus et al. 10.5194/acp-21-4809-2021
131. Global Scale Inversions from MOPITT CO and MODIS AOD B. Gaubert et al. 10.3390/rs15194813
132. Multi-Model Evaluation of Meteorological Drivers, Air Pollutants and Quantification of Emission Sources over the Upper Brahmaputra Basin A. Saikia et al. 10.3390/atmos10110703
133. Significantly mitigating PM2.5 pollution level via reduction of NOx emission during wintertime S. Fu et al. 10.1016/j.scitotenv.2023.165350
134. Stochastic representations of model uncertainties at ECMWF: state of the art and future vision M. Leutbecher et al. 10.1002/qj.3094
135. Toward a New UV Index Diagnostic in the Met Office's Forecast Model E. Turner et al. 10.1002/2017MS001050