134 citations as recorded by crossref.

1. Application of a satellite-retrieved sheltering parameterization (v1.0) for dust event simulation with WRF-Chem v4.1 S. LeGrand et al. https://doi.org/10.5194/gmd-16-1009-2023
2. Quantifying the contributions of various emission sources to black carbon and assessment of control strategies in western China J. Yang et al. https://doi.org/10.1016/j.atmosres.2018.09.003
3. Inclusion of biomass burning in WRF-Chem: impact of wildfires on weather forecasts G. Grell et al. https://doi.org/10.5194/acp-11-5289-2011
4. Inclusion of ash and SO2 emissions from volcanic eruptions in WRF-Chem: development and some applications M. Stuefer et al. https://doi.org/10.5194/gmd-6-457-2013
5. Dust over Saudi Arabia from multisource data: case studies in winter and spring M. Assiri et al. https://doi.org/10.1007/s11869-024-01660-w
6. Air quality modeling in the metropolitan area of São Paulo, Brazil: A review M. Gavidia-Calderón et al. https://doi.org/10.1016/j.atmosenv.2023.120301
7. A Study of Enhanced Heterogeneous Ice Nucleation in Simulated Deep Convective Clouds Observed During DC3 A. Takeishi & T. Storelvmo https://doi.org/10.1029/2018JD028889
8. Effects of biogenic nitrate chemistry on the NOx lifetime in remote continental regions E. Browne & R. Cohen https://doi.org/10.5194/acp-12-11917-2012
9. Performance of WRF-Chem over Indian region: Comparison with measurements G. Govardhan et al. https://doi.org/10.1007/s12040-015-0576-7
10. The Chemistry CATT-BRAMS model (CCATT-BRAMS 4.5): a regional atmospheric model system for integrated air quality and weather forecasting and research K. Longo et al. https://doi.org/10.5194/gmd-6-1389-2013
11. The transport of PM10 over Cape Town during high pollution episodes K. Molepo et al. https://doi.org/10.1016/j.atmosenv.2019.05.041
12. Comprehensive Satellite Observations and a Numerical Study of a Wintertime Shallow Sea Smoke Event in the Yellow Sea X. Li et al. https://doi.org/10.1175/JAS-D-22-0065.1
13. Severe Wildfires Near Moscow, Russia in 2010: Modeling of Carbon Monoxide Pollution and Comparisons with Observations A. Safronov et al. https://doi.org/10.3390/rs70100395
14. Qualitative comparison of Mount Redoubt 2009 volcanic clouds using the PUFF and WRF-Chem dispersion models and satellite remote sensing data T. Steensen et al. https://doi.org/10.1016/j.jvolgeores.2012.02.018
15. WRF-Chem simulation of aerosol seasonal variability in the San Joaquin Valley L. Wu et al. https://doi.org/10.5194/acp-17-7291-2017
16. Air quality impact of the Northern California Camp Fire of November 2018 B. Rooney et al. https://doi.org/10.5194/acp-20-14597-2020
17. An online emission module for atmospheric chemistry transport models: implementation in COSMO-GHG v5.6a and COSMO-ART v5.1-3.1 M. Jähn et al. https://doi.org/10.5194/gmd-13-2379-2020
18. Assessment of the simulated aerosol optical properties and regional meteorology using WRF-Chem model G. Ali et al. https://doi.org/10.1007/s12517-021-08238-1
19. Improving PM2. 5 forecast over China by the joint adjustment of initial conditions and source emissions with an ensemble Kalman filter Z. Peng et al. https://doi.org/10.5194/acp-17-4837-2017
20. A Quantitative Model‐Based Assessment of Stony Desert Landscape Evolution in the Hami Basin, China: Implications for Plio‐Pleistocene Dust Production in Eastern Asia J. Abell et al. https://doi.org/10.1029/2020GL090064
21. WRF-Chem model simulations of a dust outbreak over the central Mediterranean and comparison with multi-sensor desert dust observations U. Rizza et al. https://doi.org/10.5194/acp-17-93-2017
22. Development of the WRF-CO2 4D-Var assimilation system v1.0 T. Zheng et al. https://doi.org/10.5194/gmd-11-1725-2018
23. Relationship between Biomass Burning Emissions and Deforestation in Amazonia over the Last Two Decades G. Mataveli et al. https://doi.org/10.3390/f12091217
24. Modeling the atmospheric dispersion of SO2 from Mount Nyiragongo R. Opio et al. https://doi.org/10.1016/j.jafrearsci.2022.104771
25. Impacts of agricultural irrigation on ozone concentrations in the Central Valley of California and in the contiguous United States based on WRF-Chem simulations J. Li et al. https://doi.org/10.1016/j.agrformet.2016.02.004
26. Impacts of transported background pollutants on summertime western US air quality: model evaluation, sensitivity analysis and data assimilation M. Huang et al. https://doi.org/10.5194/acp-13-359-2013
27. Setting-up a Real-Time Air Quality Forecasting system for Serbia: a WRF-Chem feasibility study with different horizontal resolutions and emission inventories Z. Podrascanin https://doi.org/10.1007/s11356-019-05140-y
28. WRF-Chem simulations in the Amazon region during wet and dry season transitions: evaluation of methane models and wetland inundation maps V. Beck et al. https://doi.org/10.5194/acp-13-7961-2013
29. An integrated assessment of the impacts of PM2.5 and black carbon particles on the air quality of a large Brazilian city L. Gidhagen et al. https://doi.org/10.1007/s11869-021-01033-7
30. Improving the south America wildfires smoke estimates: Integration of polar-orbiting and geostationary satellite fire products in the Brazilian biomass burning emission model (3BEM) G. Pereira et al. https://doi.org/10.1016/j.atmosenv.2022.118954
31. High‐resolution regional modeling of summertime transport and impact of African dust over the Red Sea and Arabian Peninsula S. Kalenderski & G. Stenchikov https://doi.org/10.1002/2015JD024480
32. Rapid Recent Deforestation Incursion in a Vulnerable Indigenous Land in the Brazilian Amazon and Fire-Driven Emissions of Fine Particulate Aerosol Pollutants G. de Oliveira et al. https://doi.org/10.3390/f11080829
33. Assessment of biomass burning smoke influence on environmental conditions for multiyear tornado outbreaks by combining aerosol‐aware microphysics and fire emission constraints P. Saide et al. https://doi.org/10.1002/2016JD025056
34. Estudo da Dispersão do Monóxido de Carbono Associado a Emissão Veicular na Região Metropolitana de Porto Alegre com o Sistema de Modelagem Numérica CCATT - BRAMS K. Silva et al. https://doi.org/10.1590/0102-77863540082
35. Observation and modelling of ozone-destructive halogen chemistry in a passively degassing volcanic plume L. Surl et al. https://doi.org/10.5194/acp-21-12413-2021
36. Air quality modeling intercomparison and multiscale ensemble chain for Latin America J. Pachón et al. https://doi.org/10.5194/gmd-17-7467-2024
37. Visuanimation in statistics M. Genton et al. https://doi.org/10.1002/sta4.77
38. Improving PM10 and PM2.5 concentration prediction using the Brazilian Regional Atmospheric Modeling 5.2 System in Lima, Peru O. Sánchez-Ccoyllo & M. Alonso https://doi.org/10.1016/j.uclim.2024.101985
39. Impactar Tool: Valuing Air Quality Health Impacts of Urban Bus Fleet Changes in Brazil (2022) L. Betti et al. https://doi.org/10.46830/writn.21.00044
40. Characterising Brazilian biomass burning emissions using WRF-Chem with MOSAIC sectional aerosol S. Archer-Nicholls et al. https://doi.org/10.5194/gmd-8-549-2015
41. Harmonized Emissions Component (HEMCO) 3.0 as a versatile emissions component for atmospheric models: application in the GEOS-Chem, NASA GEOS, WRF-GC, CESM2, NOAA GEFS-Aerosol, and NOAA UFS models H. Lin et al. https://doi.org/10.5194/gmd-14-5487-2021
42. Simulating wildfire emissions and plume rise using geostationary satellite fire radiative power measurements: a case study of the 2019 Williams Flats fire A. Kumar et al. https://doi.org/10.5194/acp-22-10195-2022
43. Development and application of the WRFPLUS-Chem online chemistry adjoint and WRFDA-Chem assimilation system J. Guerrette & D. Henze https://doi.org/10.5194/gmd-8-1857-2015
44. Assessment of contribution to PM10 concentrations from long range transport of pollutants using WRF/Chem over a subtropical urban airshed M. Gupta & M. Mohan https://doi.org/10.5094/APR.2013.046
45. Coupling between the JULES land-surface scheme and the CCATT-BRAMS atmospheric chemistry model (JULES-CCATT-BRAMS1.0): applications to numerical weather forecasting and the CO2 budget in South America D. Moreira et al. https://doi.org/10.5194/gmd-6-1243-2013
46. Formation of secondary organic aerosols from the ozonolysis of dihydrofurans Y. Diaz-de-Mera et al. https://doi.org/10.5194/acp-17-2347-2017
47. Modeling the reactive halogen plume from Ambrym and its impact on the troposphere with the CCATT-BRAMS mesoscale model L. Jourdain et al. https://doi.org/10.5194/acp-16-12099-2016
48. Vital contribution of residential emissions to atmospheric fine particles (PM2.5) during the severe wintertime pollution episodes in Western China J. Yang et al. https://doi.org/10.1016/j.envpol.2018.11.027
49. Numerical Dust Storm Simulation Using Modified Geographical Domain and Data Assimilation: 3DVAR and 4DVAR (WRF-Chem/WRFDA) M. Eltahan & S. Alahmadi https://doi.org/10.1109/ACCESS.2019.2930812
50. Incêndio na estação ecológica do Taim em 2013: análise do ambiente atmosférico e dispersão de poluentes A. da Silva Nascimento et al. https://doi.org/10.37002/biobrasil.v11i4.1772
51. Performance evaluation of WRF-Chem during Saharan dust outbreaks in the Kocaeli Region, Northwestern Türkiye O. Bayraktar et al. https://doi.org/10.1016/j.apr.2025.102840
52. Numerical evaluation of urban green space scenarios effects on gaseous air pollutants in Tehran Metropolis based on WRF-Chem model S. Arghavani et al. https://doi.org/10.1016/j.atmosenv.2019.116832
53. Modeling study of the impact of SO2 volcanic passive emissions on the tropospheric sulfur budget C. Lamotte et al. https://doi.org/10.5194/acp-21-11379-2021
54. Estimación de emisiones atmosféricas de CO₂, NO₂, CO, NH₃ y Black Carbon vía bottom up, generados por quema de biomasa en el norte de América del Sur G. Valencia et al. https://doi.org/10.4995/raet.2022.15594
55. Possible climatic implications of high-altitude black carbon emissions G. Govardhan et al. https://doi.org/10.5194/acp-17-9623-2017
56. Assimilating AOD retrievals from GOCI and VIIRS to forecast surface PM2.5 episodes over Eastern China J. Pang et al. https://doi.org/10.1016/j.atmosenv.2018.02.011
57. Enhancing volcanic eruption simulations with the WRF-Chem v4.8 A. Ukhov et al. https://doi.org/10.5194/gmd-18-9805-2025
58. Rocket emissions representation in atmospheric air‐quality models: The short‐range atmospheric transport and reaction of gases released by solid propellant engines D. Schuch & G. Fisch https://doi.org/10.1002/met.1750
59. eixport: An R package to export emissions to atmospheric models S. Ibarra-Espinosa et al. https://doi.org/10.21105/joss.00607
60. Modeling a typical winter-time dust event over the Arabian Peninsula and the Red Sea S. Kalenderski et al. https://doi.org/10.5194/acp-13-1999-2013
61. Simulation of Severe Dust Events over Egypt Using Tuned Dust Schemes in Weather Research Forecast (WRF-Chem) M. Eltahan et al. https://doi.org/10.3390/atmos9070246
62. Development of a regional scale atmospheric Hg model based on WRF-Chem: results of preliminary studies C. Gencarelli et al. https://doi.org/10.1051/e3sconf/20130120003
63. Reducing future air-pollution-related premature mortality over Europe by mitigating emissions from the energy sector: assessing an 80 % renewable energies scenario P. Tarín-Carrasco et al. https://doi.org/10.5194/acp-22-3945-2022
64. Analysis of the ETNA 2015 Eruption Using WRF–Chem Model and Satellite Observations U. Rizza et al. https://doi.org/10.3390/atmos11111168
65. Modeling the South American regional smoke plume: aerosol optical depth variability and surface shortwave flux perturbation N. Rosário et al. https://doi.org/10.5194/acp-13-2923-2013
66. On the role of monoterpene chemistry in the remote continental boundary layer E. Browne et al. https://doi.org/10.5194/acp-14-1225-2014
67. Dust modeling over Saudi Arabia using WRF-Chem: March 2009 severe dust case Y. Zhang et al. https://doi.org/10.1016/j.atmosenv.2015.08.032
68. On the Interplay between Desert Dust and Meteorology Based on WRF-Chem Simulations and Remote Sensing Observations in the Mediterranean Basin U. Rizza et al. https://doi.org/10.3390/rs15020435
69. Distribution of sulfur aerosol precursors in the SPCZ released by continuous volcanic degassing at Ambrym, Vanuatu J. Lefèvre et al. https://doi.org/10.1016/j.jvolgeores.2015.07.018
70. Turbulence-permitting air pollution simulation for the Stuttgart metropolitan area T. Schwitalla et al. https://doi.org/10.5194/acp-21-4575-2021
71. A machine learning approach to address air quality changes during the COVID-19 lockdown in Buenos Aires, Argentina M. Diaz Resquin et al. https://doi.org/10.5194/essd-15-189-2023
72. Numerical simulations for biomass burning aerosol transport in northern Thailand . Nurzahziani & C. Surussavadee https://doi.org/10.1088/1755-1315/164/1/012008
73. Evaluation and intercomparison of wildfire smoke forecasts from multiple modeling systems for the 2019 Williams Flats fire X. Ye et al. https://doi.org/10.5194/acp-21-14427-2021
74. Inline coupling of simple and complex chemistry modules within the global weather forecast model FIM (FIM-Chem v1) L. Zhang et al. https://doi.org/10.5194/gmd-15-467-2022
75. Black and organic carbon fractions in fine particulate matter by sectors in the South Hemisphere emissions for decision-making on climate change and health effects E. Pino-Cortés et al. https://doi.org/10.1007/s11356-020-10164-w
76. Carbon monoxide and related trace gases and aerosols over the Amazon Basin during the wet and dry seasons M. Andreae et al. https://doi.org/10.5194/acp-12-6041-2012
77. Updated Land Use and Land Cover Information Improves Biomass Burning Emission Estimates G. Mataveli et al. https://doi.org/10.3390/fire6110426
78. Regional-scale modelling for the assessment of atmospheric particulate matter concentrations at rural background locations in Europe G. Gašparac et al. https://doi.org/10.5194/acp-20-6395-2020
79. Inter-comparison and performance evaluation of chemistry transport models over Indian region G. Govardhan et al. https://doi.org/10.1016/j.atmosenv.2015.10.065
80. Uso do Modelo WRF-CHEM para a Simulação da Dispersão de Gases no Centro de Lançamento de Alcântara. P. Iriart & G. Fisch https://doi.org/10.1590/0102-7786312314b20150105
81. Passive sampling as a feasible tool for mapping and model evaluation of the spatial distribution of nitrogen oxides in the city of Curitiba, Brazil E. Felix et al. https://doi.org/10.1007/s11869-019-00701-z
82. Air Quality and Health Impacts of Future Ethanol Production and Use in São Paulo State, Brazil N. Scovronick et al. https://doi.org/10.3390/ijerph13070695
83. Top-down vehicle emission inventory for spatial distribution and dispersion modeling of particulate matter W. Andreão et al. https://doi.org/10.1007/s11356-020-08476-y
84. Synoptic patterns associated with the occurrence of fire foci in the Ecological Station Taim and Campos Neutrais - Brazil A. Nascimento et al. https://doi.org/10.55761/abclima.v32i19.16128
85. Assessment of Transboundary PM2.5 from Biomass Burning in Northern Thailand Using the WRF-Chem Model K. Inlaung et al. https://doi.org/10.3390/toxics12070462
86. Importance of transboundary transport of biomass burning emissions to regional air quality in Southeast Asia during a high fire event B. Aouizerats et al. https://doi.org/10.5194/acp-15-363-2015
87. Fostering a Collaborative Atmospheric Chemistry Research Community in the Latin America and Caribbean Region M. Andrade-Flores et al. https://doi.org/10.1175/BAMS-D-14-00267.1
88. The Impact of Smoke on the Ultraviolet and Visible Radiative Forcing Under Different Fire Regimes Y. Park et al. https://doi.org/10.1177/1178622118774803
89. Development and evaluation of the Aerosol Forecast Member in the National Center for Environment Prediction (NCEP)'s Global Ensemble Forecast System (GEFS-Aerosols v1) L. Zhang et al. https://doi.org/10.5194/gmd-15-5337-2022
90. Pre-harvest sugarcane burning emission inventories based on remote sensing data in the state of São Paulo, Brazil D. França et al. https://doi.org/10.1016/j.atmosenv.2014.10.010
91. HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – Part 1: global and regional module M. Guevara et al. https://doi.org/10.5194/gmd-12-1885-2019
92. High-resolution air quality modeling in a medium-sized city in the tropical Andes: Assessment of local and global emissions in understanding ozone and PM10 dynamics C. González et al. https://doi.org/10.1016/j.apr.2018.03.003
93. Radiative and microphysical responses of clouds to an anomalous increase in fire particles over the Maritime Continent in 2015 A. Takeishi & C. Wang https://doi.org/10.5194/acp-22-4129-2022
94. Aerosol–radiation–cloud interactions in a regional coupled model: the effects of convective parameterisation and resolution S. Archer-Nicholls et al. https://doi.org/10.5194/acp-16-5573-2016
95. The impacts of background error covariance on particulate matter assimilation and forecast: An ideal case study with a modal aerosol model over China J. Pang & X. Wang https://doi.org/10.1016/j.scitotenv.2021.147417
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99. Potential feedback between aerosols and meteorological conditions in a heavy pollution event over the Tibetan Plateau and Indo-Gangetic Plain J. Yang et al. https://doi.org/10.1007/s00382-016-3240-2
100. The AFWA dust emission scheme for the GOCART aerosol model in WRF-Chem v3.8.1 S. LeGrand et al. https://doi.org/10.5194/gmd-12-131-2019
101. The WMO vegetation fire and smoke pollution warning advisory and assessment system (VFSP-WAS) A. Baklanov et al. https://doi.org/10.37002/biobrasil.v11i2.1738
102. Ozone production and transport over the Amazon Basin during the dry-to-wet and wet-to-dry transition seasons M. Bela et al. https://doi.org/10.5194/acp-15-757-2015
103. The effects of simulating volcanic aerosol radiative feedbacks with WRF-Chem during the Eyjafjallajökull eruption, April and May 2010 M. Hirtl et al. https://doi.org/10.1016/j.atmosenv.2018.10.058
104. Competing impact of anthropogenic emissions and meteorology on the distribution of trace gases over Indian region T. Ansari et al. https://doi.org/10.1007/s10874-016-9331-y
105. The Brazilian developments on the Regional Atmospheric Modeling System (BRAMS 5.2): an integrated environmental model tuned for tropical areas S. Freitas et al. https://doi.org/10.5194/gmd-10-189-2017
106. The Influence of the Position of the Double Bond and Ring Size on the Stability of Hydrogen Bonded Complexes S. Cheng et al. https://doi.org/10.1038/s41598-017-11921-7
107. Effects of smoke on marine low clouds and radiation during 2020 western United States wildfires L. Dong et al. https://doi.org/10.1016/j.atmosres.2024.107295
108. VEIN v0.2.2: an R package for bottom–up vehicular emissions inventories S. Ibarra-Espinosa et al. https://doi.org/10.5194/gmd-11-2209-2018
109. European and Mediterranean mercury modelling: Local and long-range contributions to the deposition flux C. Gencarelli et al. https://doi.org/10.1016/j.atmosenv.2015.07.015
110. Fire Influence on Regional to Global Environments and Air Quality (FIREX‐AQ) C. Warneke et al. https://doi.org/10.1029/2022JD037758
111. Improving urban CO2 spatial distribution modelling using multi-source data E. Sun et al. https://doi.org/10.1016/j.uclim.2024.101902
112. Investigating Synoptic Influences on Tropospheric Volcanic Ash Dispersion from the 2015 Calbuco Eruption Using WRF-Chem Simulations and Satellite Data D. de Bem et al. https://doi.org/10.3390/rs16234455
113. Thunderstorms and upper troposphere chemistry during the early stages of the 2006 North American Monsoon M. Barth et al. https://doi.org/10.5194/acp-12-11003-2012
114. PAPILA dataset: a regional emission inventory of reactive gases for South America based on the combination of local and global information P. Castesana et al. https://doi.org/10.5194/essd-14-271-2022
115. Wet scavenging limits the detection of aerosol effects on precipitation E. Gryspeerdt et al. https://doi.org/10.5194/acp-15-7557-2015
116. Caribbean Air Chemistry and Dispersion Conditions M. Jury https://doi.org/10.3390/atmos8080151
117. High-Resolution Biomass Burning Aerosol Transport Simulations in the Tropics . Nurzahziani et al. https://doi.org/10.3390/atmos11010091
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120. 3DVAR meteorological data assimilation and aerosol impact on the simulation of heat wave 2022 over Haryana using WRF-Chem P. Deb et al. https://doi.org/10.1016/j.apr.2025.102440
121. Characterization and Trends of Fine Particulate Matter (PM2.5) Fire Emissions in the Brazilian Cerrado during 2002–2017 G. Mataveli et al. https://doi.org/10.3390/rs11192254
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128. Characteristics of particulate matter during New Year's eve fireworks and Taal volcano ashfall in Metro Manila on January 2020 M. Templonuevo Cruz et al. https://doi.org/10.1016/j.uclim.2023.101587
129. Saharan Dust Modeling Over the Mediterranean Basin and Central Europe: Does the Resolution Matter? L. Palacios-Peña et al. https://doi.org/10.3389/feart.2019.00290
130. Error induced by neglecting subgrid chemical segregation due to inefficient turbulent mixing in regional chemical-transport models in urban environments C. Li et al. https://doi.org/10.5194/acp-21-483-2021
131. Development and application of a regional-scale atmospheric mercury model based on WRF/Chem: a Mediterranean area investigation C. Gencarelli et al. https://doi.org/10.1007/s11356-013-2162-3
132. A model-based exploratory study of sulfur dioxide dispersions from concentrated animal feeding operations in the Southeastern United States J. Winchester et al. https://doi.org/10.1080/02723646.2021.1875583
133. Theoretical Investigations on Mapping Mean Distributions of Particulate Matter, Inert, Reactive, and Secondary Pollutants from Wildfires by Unmanned Air Vehicles (UAVs) N. Mölders et al. https://doi.org/10.4236/ojap.2015.43014
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