50 citations as recorded by crossref.

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2. Profiling of Saharan dust from the Caribbean to western Africa – Part 2: Shipborne lidar measurements versus forecasts A. Ansmann et al. 10.5194/acp-17-14987-2017
3. Development of the Ensemble Navy Aerosol Analysis Prediction System (ENAAPS) and its application of the Data Assimilation Research Testbed (DART) in support of aerosol forecasting J. Rubin et al. 10.5194/acp-16-3927-2016
4. Simulation of long-term direct aerosol radiative forcing over the arctic within the framework of the iAREA project K. Markowicz et al. 10.1016/j.atmosenv.2020.117882
5. An 11-year global gridded aerosol optical thickness reanalysis (v1.0) for atmospheric and climate sciences P. Lynch et al. 10.5194/gmd-9-1489-2016
6. 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
7. Simulations of the effect of intensive biomass burning in July 2015 on Arctic radiative budget K. Markowicz et al. 10.1016/j.atmosenv.2017.10.015
8. Status and future of numerical atmospheric aerosol prediction with a focus on data requirements A. Benedetti et al. 10.5194/acp-18-10615-2018
9. Development and basic evaluation of a prognostic aerosol scheme (v1) in the CNRM Climate Model CNRM-CM6 M. Michou et al. 10.5194/gmd-8-501-2015
10. Development of the Ensemble Navy Aerosol Analysis Prediction System (ENAAPS) and its application of the Data Assimilation Research Testbed (DART) in support of aerosol forecasting J. Rubin et al. 10.5194/acpd-15-28069-2015
11. Ground-based High Spectral Resolution Lidar observation of aerosol vertical distribution in the summertime Southeast United States J. Reid et al. 10.1002/2016JD025798
12. 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
13. Challenges and Opportunities in Atmospheric Dust Emission, Chemistry, and Transport D. Richter & T. Gill 10.1175/BAMS-D-18-0007.1
14. AERONET Remotely Sensed Measurements and Retrievals of Biomass Burning Aerosol Optical Properties During the 2015 Indonesian Burning Season T. Eck et al. 10.1029/2018JD030182
15. JRAero: the Japanese Reanalysis for Aerosol v1.0 K. Yumimoto et al. 10.5194/gmd-10-3225-2017
16. A bulk-mass-modeling-based method for retrieving particulate matter pollution using CALIOP observations T. Toth et al. 10.5194/amt-12-1739-2019
17. A multi-model evaluation of aerosols over South Asia: common problems and possible causes X. Pan et al. 10.5194/acp-15-5903-2015
18. An Evaluation of the CHIMERE Chemistry Transport Model to Simulate Dust Outbreaks across the Northern Hemisphere in March 2014 B. Bessagnet et al. 10.3390/atmos8120251
19. An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks B. Holben et al. 10.5194/acp-18-655-2018
20. Estimates of Health Impacts and Radiative Forcing in Winter Haze in Eastern China through Constraints of Surface PM2.5 Predictions M. Gao et al. 10.1021/acs.est.6b03745
21. WRF prediction of two winter season Saharan dust events using PM10 concentrations: Boundary versus initial conditions G. Jenkins & A. Diokhane 10.1016/j.atmosenv.2017.08.010
22. Development of an Ozone Monitoring Instrument (OMI) aerosol index (AI) data assimilation scheme for aerosol modeling over bright surfaces – a step toward direct radiance assimilation in the UV spectrum J. Zhang et al. 10.5194/gmd-14-27-2021
23. Factors That Modulate Properties of Primary Marine Aerosol Generated From Ambient Seawater on Ships at Sea W. Keene et al. 10.1002/2017JD026872
24. The implementation of NEMS GFS Aerosol Component (NGAC) Version 1.0 for global dust forecasting at NOAA/NCEP C. Lu et al. 10.5194/gmd-9-1905-2016
25. A global aerosol classification algorithm incorporating multiple satellite data sets of aerosol and trace gas abundances M. Penning de Vries et al. 10.5194/acpd-15-13551-2015
26. Using GEOS-5 forecast products to represent aerosol optical depth in operational day-ahead solar irradiance forecasts for the southwest United States P. Bunn et al. 10.1063/5.0020785
27. Observations of the Interaction and Transport of Fine Mode Aerosols With Cloud and/or Fog in Northeast Asia From Aerosol Robotic Network and Satellite Remote Sensing T. Eck et al. 10.1029/2018JD028313
28. Exploring the first aerosol indirect effect over Southeast Asia using a 10-year collocated MODIS, CALIOP, and model dataset A. Ross et al. 10.5194/acp-18-12747-2018
29. Development studies towards an 11-year global gridded aerosol optical thickness reanalysis for climate and applied applications P. Lynch et al. 10.5194/gmdd-8-10455-2015
30. Sensitivity of the WRF-Chem (V3.6.1) model to different dust emission parametrisation: assessment in the broader Mediterranean region E. Flaounas et al. 10.5194/gmd-10-2925-2017
31. The implementation of NEMS GFS Aerosol Component (NGAC) Version 2.0 for global multispecies forecasting at NOAA/NCEP – Part 2: Evaluation of aerosol optical thickness P. Bhattacharjee et al. 10.5194/gmd-11-2333-2018
32. Decision theory‐based detection of atmospheric natural hazards from satellite imagery using the example of volcanic ash L. Western et al. 10.1002/qj.3230
33. Prediction of health effects of cross-border atmospheric pollutants using an aerosol forecast model K. Onishi et al. 10.1016/j.envint.2018.04.035
34. Advances in air quality modeling and forecasting A. Baklanov & Y. Zhang 10.1016/j.glt.2020.11.001
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36. An evaluation of the impact of aerosol particles on weather forecasts from a biomass burning aerosol event over the Midwestern United States: observational-based analysis of surface temperature J. Zhang et al. 10.5194/acp-16-6475-2016
37. High-resolution dust modelling over complex terrains in West Asia S. Basart et al. 10.1016/j.aeolia.2016.09.005
38. Supporting Weather Forecasters in Predicting and Monitoring Saharan Air Layer Dust Events as They Impact the Greater Caribbean A. Kuciauskas et al. 10.1175/BAMS-D-16-0212.1
39. Review of surface particulate monitoring of dust events using geostationary satellite remote sensing M. Sowden et al. 10.1016/j.atmosenv.2018.04.020
40. Use of the CALIOP vertical feature mask for evaluating global aerosol models E. Nowottnick et al. 10.5194/amt-8-3647-2015
41. 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
42. Assimilation and Forecasting Experiment for Heavy Siberian Wildfire Smoke in May 2016 with Himawari-8 Aerosol Optical Thickness K. YUMIMOTO et al. 10.2151/jmsj.2018-035
43. Application of linear minimum variance estimation to the multi-model ensemble of atmospheric radioactive Cs-137 with observations D. Goto et al. 10.5194/acp-20-3589-2020
44. A global aerosol classification algorithm incorporating multiple satellite data sets of aerosol and trace gas abundances M. Penning de Vries et al. 10.5194/acp-15-10597-2015
45. Assimilation of AERONET and MODIS AOT observations using variational and ensemble data assimilation methods and its impact on aerosol forecasting skill J. Rubin et al. 10.1002/2016JD026067
46. 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
47. Current state of the global operational aerosol multi‐model ensemble: An update from the International Cooperative for Aerosol Prediction (ICAP) P. Xian et al. 10.1002/qj.3497
48. Assessing the Challenges of Surface‐Level Aerosol Mass Estimates From Remote Sensing During the SEAC 4 RS and SEARCH Campaigns: Baseline Surface Observations and Remote Sensing in the Southeastern United States K. Kaku et al. 10.1029/2017JD028074
49. Impact of satellite viewing-swath width on global and regional aerosol optical thickness statistics and trends P. Colarco et al. 10.5194/amt-7-2313-2014
50. Use of the CALIOP vertical feature mask for evaluating global aerosol models E. Nowottnick et al. 10.5194/amtd-8-1401-2015