61 citations as recorded by crossref.

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18. 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
19. Forest Fire Smoke Detection Using Back-Propagation Neural Network Based on MODIS Data X. Li et al. 10.3390/rs70404473
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24. Hourly Mapping of the Layer Height of Thick Smoke Plumes Over the Western U.S. in 2020 Severe Fire Season Z. Lu et al. 10.3389/frsen.2021.766628
25. Hydrological suitability for mangrove species in restored mangroves in abandoned ponds F. Sidik et al. 10.1016/j.aquabot.2025.103873
26. Measurement report: Assessing the impacts of emission uncertainty on aerosol optical properties and radiative forcing from biomass burning in peninsular Southeast Asia Y. Jin et al. 10.5194/acp-24-367-2024
27. Wildfire Smoke Influence on Cloud Water Chemical Composition at Whiteface Mountain, New York J. Lee et al. 10.1029/2022JD037177
28. The influence of simulated surface dust lofting and atmospheric loading on radiative forcing S. Saleeby et al. 10.5194/acp-19-10279-2019
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30. Atmospheric emissions, processes, and impacts of tropical peatland fire haze in Equatorial Asia: A review M. Kuwata 10.1016/j.atmosenv.2024.120575
31. Sensitivity of mesoscale modeling of smoke direct radiative effect to the emission inventory: a case study in northern sub-Saharan African region F. Zhang et al. 10.1088/1748-9326/9/7/075002
32. Enhancing Aerosol Vertical Distribution Retrieval With Combined LSTM and Transformer Model From OCO-2 O2 A-Band Observations Y. Wang et al. 10.1109/JSTARS.2025.3552310
33. Applying Advanced Ground-Based Remote Sensing in the Southeast Asian Maritime Continent to Characterize Regional Proficiencies in Smoke Transport Modeling J. Campbell et al. 10.1175/JAMC-D-15-0083.1
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35. Detecting nighttime fire combustion phase by hybrid application of visible and infrared radiation from Suomi NPP VIIRS J. Wang et al. 10.1016/j.rse.2019.111466
36. Summertime dust storms over the Arabian Peninsula and impacts on radiation, circulation, cloud development and rain D. Francis et al. 10.1016/j.atmosres.2020.105364
37. The importance of plume rise on the concentrations and atmospheric impacts of biomass burning aerosol C. Walter et al. 10.5194/acp-16-9201-2016
38. Atmospheric heating in the US from saharan dust: Tracking the June 2020 event with surface and satellite observations M. Mehra et al. 10.1016/j.atmosenv.2023.119988
39. Assessing potential indicators of aerosol wet scavenging during long-range transport M. Hilario et al. 10.5194/amt-17-37-2024
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41. Measurement report: Long-range transport patterns into the tropical northwest Pacific during the CAMP2Ex aircraft campaign: chemical composition, size distributions, and the impact of convection M. Hilario et al. 10.5194/acp-21-3777-2021
42. Two-way coupled meteorology and air quality models in Asia: a systematic review and meta-analysis of impacts of aerosol feedbacks on meteorology and air quality C. Gao et al. 10.5194/acp-22-5265-2022
43. Chemical characterization of fine particulate matter emitted by peat fires in Central Kalimantan, Indonesia, during the 2015 El Niño T. Jayarathne et al. 10.5194/acp-18-2585-2018
44. Displacement of Intertropical Convergence Zone induced by interannual variability in biomass burning aerosol emissions X. Zhang et al. 10.1088/1748-9326/add176
45. Colorado air quality impacted by long-range-transported aerosol: a set of case studies during the 2015 Pacific Northwest fires J. Creamean et al. 10.5194/acp-16-12329-2016
46. Modelling climatic variable impacts on ground-level ozone in Malaysia using backward trajectory and Generative Additive Models F. Chee et al. 10.1007/s13762-024-06036-2
47. Assessment of aerosol optical property and radiative effect for the layer decoupling cases over the northern South China Sea during the 7‐SEAS/Dongsha Experiment S. Pani et al. 10.1002/2015JD024601
48. Progress and Challenges in Quantifying Wildfire Smoke Emissions, Their Properties, Transport, and Atmospheric Impacts I. Sokolik et al. 10.1029/2018JD029878
49. Improving Surface PM2.5 Forecasts in the United States Using an Ensemble of Chemical Transport Model Outputs: 1. Bias Correction With Surface Observations in Nonrural Areas H. Zhang et al. 10.1029/2019JD032293
50. Isolating the effect of biomass burning aerosol emissions on 20th century hydroclimate in South America and Southeast Asia S. Magahey & G. Kooperman 10.1088/1748-9326/acf7d4
51. Controlling factors analysis for the Himawari-8 aerosol optical depth accuracy from the standpoint of size distribution, solar zenith angles and scattering angles M. Zhang et al. 10.1016/j.atmosenv.2020.117501
52. Influence of land use on the performance of the WRF model in a humid tropical climate Y. Aylas et al. 10.1007/s00704-020-03187-3
53. Aerosol meteorology of Maritime Continent for the 2012 7SEAS southwest monsoon intensive study – Part 2: Philippine receptor observations of fine-scale aerosol behavior J. Reid et al. 10.5194/acp-16-14057-2016
54. Aerosol Detection from the Cloud–Aerosol Transport System on the International Space Station: Algorithm Overview and Implications for Diurnal Sampling E. Nowottnick et al. 10.3390/atmos13091439
55. Introducing the VIIRS-based Fire Emission Inventory version 0 (VFEIv0) G. Ferrada et al. 10.5194/gmd-15-8085-2022
56. Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space X. Xu et al. 10.5194/amt-12-3269-2019
57. Biomass burning in critical fire region over the Maritime Continent from 2012 to 2021: A review of the meteorological influence and cloud-aerosol-radiation interactions J. Chang et al. 10.1016/j.atmosenv.2023.120324
58. Light-Absorbing Brown Carbon Aerosol Constituents from Combustion of Indonesian Peat and Biomass S. Budisulistiorini et al. 10.1021/acs.est.7b00397
59. Impact of biomass burning aerosols on radiation, clouds, and precipitation over the Amazon: relative importance of aerosol–cloud and aerosol–radiation interactions L. Liu et al. 10.5194/acp-20-13283-2020
60. Real‐Time Irrigation Scheduling Based on Weather Forecasts, Field Observations, and Human‐Machine Interactions A. Jamal et al. 10.1029/2023WR035810
61. Influence of meteorological conditions on correlation between aerosol and cloud in summer L. Shi et al. 10.1016/j.asr.2017.01.026