141 citations as recorded by crossref.

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30. The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning C. Wiedinmyer et al. 10.5194/gmd-4-625-2011
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33. Atmospheric impacts of the 2010 Russian wildfires: integrating modelling and measurements of an extreme air pollution episode in the Moscow region I. Konovalov et al. 10.5194/acp-11-10031-2011
34. Impact of Outdoor Air Pollution on Indoor Air Quality in Low-Income Homes during Wildfire Seasons P. Shrestha et al. 10.3390/ijerph16193535
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37. Tracking Iberian heatwaves from a new perspective A. Sánchez-Benítez et al. 10.1016/j.wace.2019.100238
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45. Duff burning from wildfires in a moist region: different impacts on PM<sub>2.5</sub> and ozone A. Zhang et al. 10.5194/acp-22-597-2022
46. Significant variations of trace gas composition and aerosol properties at Mt. Cimone during air mass transport from North Africa – contributions from wildfire emissions and mineral dust P. Cristofanelli et al. 10.5194/acp-9-4603-2009
47. Zonal-Based Emission Source Term Model for Predicting Particulate Emission Factors in Wildfire Simulations A. Josephson et al. 10.1007/s10694-020-01024-7
48. Constraining CO<sub>2</sub> emissions from open biomass burning by satellite observations of co-emitted species: a method and its application to wildfires in Siberia I. Konovalov et al. 10.5194/acp-14-10383-2014
49. Modeling Wildfire Smoke Pollution by Integrating Land Use Regression and Remote Sensing Data: Regional Multi-Temporal Estimates for Public Health and Exposure Models M. Mirzaei et al. 10.3390/atmos9090335
50. The effect of meteorology on air pollution in Moscow during the summer episodes of 2010 I. Kuznetsova 10.1134/S0001433812050052
51. Fire emission heights in the climate system – Part 1: Global plume height patterns simulated by ECHAM6-HAM2 A. Veira et al. 10.5194/acp-15-7155-2015
52. Particulate matter, air quality and climate: lessons learned and future needs S. Fuzzi et al. 10.5194/acp-15-8217-2015
53. Region of influence of 13 remote European measurement sites based on modeled carbon monoxide mixing ratios D. Folini et al. 10.1029/2008JD011125
54. Carbon Emissions from Forest Fires in Great Xing’an Mountains from 1980 to 2005 Y. Zhang et al. 10.1016/j.proenv.2011.09.390
55. Impacts of climate change from 2000 to 2050 on wildfire activity and carbonaceous aerosol concentrations in the western United States D. Spracklen et al. 10.1029/2008JD010966
56. Comparison of L3JRC and MODIS global burned area products from 2000 to 2007 D. Chang & Y. Song 10.1029/2008JD011361
57. Combining Land-Use Regression and Chemical Transport Modeling in a Spatiotemporal Geostatistical Model for Ozone and PM2.5 M. Wang et al. 10.1021/acs.est.5b06001
58. Non-Accidental Health Impacts of Wildfire Smoke H. Youssouf et al. 10.3390/ijerph111111772
59. Modelled and observed changes in aerosols and surface solar radiation over Europe between 1960 and 2009 S. Turnock et al. 10.5194/acp-15-9477-2015
60. Impacts of brown carbon from biomass burning on surface UV and ozone photochemistry in the Amazon Basin J. Mok et al. 10.1038/srep36940
61. Regional modeling of carbonaceous aerosols over Europe—focus on secondary organic aerosols B. Bessagnet et al. 10.1007/s10874-009-9129-2
62. Lidar signal simulation for the evaluation of aerosols in chemistry transport models S. Stromatas et al. 10.5194/gmd-5-1543-2012
63. Examining the status of forest fire emission in 2020 and its connection to COVID-19 incidents in West Coast regions of the United States S. Sannigrahi et al. 10.1016/j.envres.2022.112818
64. An important fingerprint of wildfires on the European aerosol load F. Barnaba et al. 10.5194/acp-11-10487-2011
65. Assessment of fire emission inventories for simulating particulate matter in Upper Southeast Asia using WRF-CMAQ P. Vongruang et al. 10.1016/j.apr.2017.03.004
66. Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone U. Im et al. 10.1016/j.atmosenv.2014.09.042
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68. Short-term particulate matter contamination severely compromises insect antennal olfactory perception Q. Wang et al. 10.1038/s41467-023-39469-3
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80. Predicting Primary PM2.5 and PM0.1 Trace Composition for Epidemiological Studies in California J. Hu et al. 10.1021/es404809j
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82. Long-term particulate matter modeling for health effect studies in California – Part 1: Model performance on temporal and spatial variations J. Hu et al. 10.5194/acp-15-3445-2015
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