81 citations as recorded by crossref.

1. Investigation of global particulate nitrate from the AeroCom phase III experiment H. Bian et al. 10.5194/acp-17-12911-2017
2. 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
3. Site representativity of AERONET and GAW remotely sensed aerosol optical thickness and absorbing aerosol optical thickness observations N. Schutgens 10.5194/acp-20-7473-2020
4. Satellite-based evaluation of AeroCom model bias in biomass burning regions Q. Zhong et al. 10.5194/acp-22-11009-2022
5. Observational operator for fair model evaluation with ground NO2 measurements L. Fang et al. 10.5194/gmd-17-8267-2024
6. Do new sea spray aerosol source functions improve the results of a regional aerosol model? S. Barthel et al. 10.1016/j.atmosenv.2018.10.016
7. Representation Uncertainty in the Earth Sciences C. Bulgin et al. 10.1029/2021EA002129
8. On the spatio-temporal representativeness of observations N. Schutgens et al. 10.5194/acp-17-9761-2017
9. Effect of discrepancies caused by model resolution on model-measurement comparison for surface black carbon T. Sun et al. 10.1016/j.atmosenv.2020.118178
10. Model calibration using ESEm v1.1.0 – an open, scalable Earth system emulator D. Watson-Parris et al. 10.5194/gmd-14-7659-2021
11. How should we aggregate data? Methods accounting for the numerical distributions, with an assessment of aerosol optical depth A. Sayer & K. Knobelspiesse 10.5194/acp-19-15023-2019
12. How Long Is Too Long? Variogram Analysis of AERONET Data to Aid Aerosol Validation and Intercomparison Studies A. Sayer 10.1029/2020EA001290
13. “Traffic intervention” policy fails to mitigate air pollution in megacity Delhi S. Chowdhury et al. 10.1016/j.envsci.2017.04.018
14. Impact of the ‘13th Five-Year Plan’ Policy on Air Quality in Pearl River Delta, China: A Case Study of Haizhu District in Guangzhou City Using WRF-Chem J. Zhan et al. 10.3390/app10155276
15. Description and evaluation of a secondary organic aerosol and new particle formation scheme within TM5-MP v1.2 T. Bergman et al. 10.5194/gmd-15-683-2022
16. On the representation error in data assimilation T. Janjić et al. 10.1002/qj.3130
17. Aircraft measurements of black carbon vertical profiles show upper tropospheric variability and stability J. Schwarz et al. 10.1002/2016GL071241
18. Modelling and Analysis of Aerosol and Cloud-Precipitable Water Inter-Hemispheric Interactions of Aerosol-Satellite Data Using Ground Observation C. Anoruo 10.1007/s41810-020-00078-y
19. Concentrations and radiative forcing of anthropogenic aerosols from 1750 to 2014 simulated with the Oslo CTM3 and CEDS emission inventory M. Lund et al. 10.5194/gmd-11-4909-2018
20. Biomass burning aerosol over the Amazon: analysis of aircraft, surface and satellite observations using a global aerosol model C. Reddington et al. 10.5194/acp-19-9125-2019
21. Assessment of aerosol–cloud–radiation correlations in satellite observations, climate models and reanalysis F. Bender et al. 10.1007/s00382-018-4384-z
22. Modelling mineral dust emissions and atmospheric dispersion with MADE3 in EMAC v2.54 C. Beer et al. 10.5194/gmd-13-4287-2020
23. AEROCOM and AEROSAT AAOD and SSA study – Part 1: Evaluation and intercomparison of satellite measurements N. Schutgens et al. 10.5194/acp-21-6895-2021
24. Aerosol Absorption: Progress Towards Global and Regional Constraints B. Samset et al. 10.1007/s40641-018-0091-4
25. Development and Evaluation of an Explicit Treatment of Aerosol Processes at Cloud Scale Within a Multi‐Scale Modeling Framework (MMF) G. Lin et al. 10.1029/2018MS001287
26. Robust observational constraint of uncertain aerosol processes and emissions in a climate model and the effect on aerosol radiative forcing J. Johnson et al. 10.5194/acp-20-9491-2020
27. Constraints on global aerosol number concentration, SO<sub>2</sub> and condensation sink in UKESM1 using ATom measurements A. Ranjithkumar et al. 10.5194/acp-21-4979-2021
28. Towards improved and more routine Earth system model evaluation in CMIP V. Eyring et al. 10.5194/esd-7-813-2016
29. Estimating Source Region Influences on Black Carbon Abundance, Microphysics, and Radiative Effect Observed Over South Korea K. Lamb et al. 10.1029/2018JD029257
30. Ocean Temperature Profiling Lidar: Analysis of Technology and Potential for Rapid Ocean Observations J. Moisan et al. 10.3390/rs16071236
31. In situ constraints on the vertical distribution of global aerosol D. Watson-Parris et al. 10.5194/acp-19-11765-2019
32. The 3D biogeochemical marine mercury cycling model MERCY v2.0 – linking atmospheric Hg to methylmercury in fish J. Bieser et al. 10.5194/gmd-16-2649-2023
33. Spatial Coverage of Monitoring Networks: A Climate Observing System Simulation Experiment E. Weatherhead et al. 10.1175/JAMC-D-17-0040.1
34. Factors controlling black carbon distribution in the Arctic L. Qi et al. 10.5194/acp-17-1037-2017
35. The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6 J. Robson et al. 10.1029/2020MS002126
36. Bridging the gap: integrating models and observations for better ecosystem understanding M. Skogen et al. 10.3354/meps14616
37. Sources of uncertainty in atmospheric dispersion modeling in support of Comprehensive Nuclear–Test–Ban Treaty monitoring and verification system S. Mekhaimr & M. Abdel Wahab 10.1016/j.apr.2019.03.008
38. Multi-model simulations of aerosol and ozone radiative forcing due to anthropogenic emission changes during the period 1990–2015 G. Myhre et al. 10.5194/acp-17-2709-2017
39. The Radiative Forcing of Aerosol–Cloud Interactions in Liquid Clouds: Wrestling and Embracing Uncertainty J. Mülmenstädt & G. Feingold 10.1007/s40641-018-0089-y
40. Absorbing aerosols over Asia – an inter-model and model-observation comparison study using CAM5.3-Oslo L. Frey et al. 10.1080/16000889.2021.1909815
41. Machine learning based bias correction for numerical chemical transport models M. Xu et al. 10.1016/j.atmosenv.2020.118022
42. Strong Contrast in Remote Black Carbon Aerosol Loadings Between the Atlantic and Pacific Basins J. Katich et al. 10.1029/2018JD029206
43. Global aerosol modeling with MADE3 (v3.0) in EMAC (based on v2.53): model description and evaluation J. Kaiser et al. 10.5194/gmd-12-541-2019
44. Jury is still out on the radiative forcing by black carbon O. Boucher et al. 10.1073/pnas.1607005113
45. A Coupled Evaluation of Operational MODIS and Model Aerosol Products for Maritime Environments Using Sun Photometry: Evaluation of the Fine and Coarse Mode J. Reid et al. 10.3390/rs14132978
46. Unveiling aerosol–cloud interactions – Part 1: Cloud contamination in satellite products enhances the aerosol indirect forcing estimate M. Christensen et al. 10.5194/acp-17-13151-2017
47. Global distribution of maritime low clouds with an emphasis on different aerosol types and meteorological parameters inferred from multi-satellite and reanalysis data during 2007–2016 B. Pan et al. 10.1016/j.atmosenv.2020.118082
48. Is Black Carbon an Unimportant Ice‐Nucleating Particle in Mixed‐Phase Clouds? J. Vergara‐Temprado et al. 10.1002/2017JD027831
49. Worldwide impact of aerosol’s time scale on the predicted long-term concentrating solar power potential J. Ruiz-Arias et al. 10.1038/srep30546
50. SALSA2.0: The sectional aerosol module of the aerosol–chemistry–climate model ECHAM6.3.0-HAM2.3-MOZ1.0 H. Kokkola et al. 10.5194/gmd-11-3833-2018
51. Global aerosol simulations using NICAM.16 on a 14 km grid spacing for a climate study: improved and remaining issues relative to a lower-resolution model D. Goto et al. 10.5194/gmd-13-3731-2020
52. Validation of SOAR VIIRS Over‐Water Aerosol Retrievals and Context Within the Global Satellite Aerosol Data Record A. Sayer et al. 10.1029/2018JD029465
53. Community Intercomparison Suite (CIS) v1.4.0: a tool for intercomparing models and observations D. Watson-Parris et al. 10.5194/gmd-9-3093-2016
54. Assimilation of MODIS Dark Target and Deep Blue observations in the dust aerosol component of NMMB-MONARCH version 1.0 E. Di Tomaso et al. 10.5194/gmd-10-1107-2017
55. Evaluation of aerosol–cloud interactions in E3SM using a Lagrangian framework M. Christensen et al. 10.5194/acp-23-2789-2023
56. The importance of the representation of air pollution emissions for the modeled distribution and radiative effects of black carbon in the Arctic J. Schacht et al. 10.5194/acp-19-11159-2019
57. Tropospheric Ozone Assessment Report: Tropospheric ozone from 1877 to 2016, observed levels, trends and uncertainties D. Tarasick et al. 10.1525/elementa.376
58. Spatial Representativeness of Surface‐Measured Variations of Downward Solar Radiation M. Schwarz et al. 10.1002/2017JD027261
59. A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing A. Sayer et al. 10.5194/amt-13-373-2020
60. Improving forest sampling strategies for assessment of fuel reduction burning M. Gharun et al. 10.1016/j.foreco.2017.03.001
61. Short Black Carbon lifetime inferred from a global set of aircraft observations M. Lund et al. 10.1038/s41612-018-0040-x
62. Evaluation of global simulations of aerosol particle and cloud condensation nuclei number, with implications for cloud droplet formation G. Fanourgakis et al. 10.5194/acp-19-8591-2019
63. Limitations of passive remote sensing to constrain global cloud condensation nuclei P. Stier 10.5194/acp-16-6595-2016
64. Evaluating errors due to unresolved scales in convection‐permitting numerical weather prediction J. Waller et al. 10.1002/qj.4043
65. Accounting for observation uncertainty and bias due to unresolved scales with the Schmidt-Kalman filter Z. Bell et al. 10.1080/16000870.2020.1831830
66. Spatial Representativeness Error in the Ground‐Level Observation Networks for Black Carbon Radiation Absorption R. Wang et al. 10.1002/2017GL076817
67. Numerical simulation and evaluation of global ultrafine particle concentrations at the Earth's surface M. Kohl et al. 10.5194/acp-23-13191-2023
68. Development of a global aerosol model using a two‐dimensional sectional method: 2. Evaluation and sensitivity simulations H. Matsui & N. Mahowald 10.1002/2017MS000937
69. Anthropogenic Perturbations to the Atmospheric Molybdenum Cycle M. Wong et al. 10.1029/2020GB006787
70. Global and Regional Evaluation of the CERES Edition-4A Surface Solar Radiation and Its Uncertainty Quantification K. Zhang et al. 10.1109/JSTARS.2022.3164471
71. Using modelled relationships and satellite observations to attribute modelled aerosol biases over biomass burning regions Q. Zhong et al. 10.1038/s41467-022-33680-4
72. Advancing global aerosol simulations with size-segregated anthropogenic particle number emissions F. Xausa et al. 10.5194/acp-18-10039-2018
73. Machine learning for observation bias correction with application to dust storm data assimilation J. Jin et al. 10.5194/acp-19-10009-2019
74. An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation N. Schutgens et al. 10.5194/acp-20-12431-2020
75. Direct radiative effect of aerosols based on PARASOL and OMI satellite observations C. Lacagnina et al. 10.1002/2016JD025706
76. Aerosols at the poles: an AeroCom Phase II multi-model evaluation M. Sand et al. 10.5194/acp-17-12197-2017
77. The importance of comprehensive parameter sampling and multiple observations for robust constraint of aerosol radiative forcing J. Johnson et al. 10.5194/acp-18-13031-2018
78. Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations C. Chen et al. 10.5194/acp-19-14585-2019
79. Observational constraint on cloud susceptibility weakened by aerosol retrieval limitations P. Ma et al. 10.1038/s41467-018-05028-4
80. High Potential of Asian Dust to Act as Ice Nucleating Particles in Mixed‐Phase Clouds Simulated With a Global Aerosol‐Climate Model K. Kawai et al. 10.1029/2020JD034263
81. Bioindication and modelling of atmospheric deposition in forests enable exposure and effect monitoring at high spatial density across scales W. Schröder et al. 10.1007/s13595-017-0621-6