792 citations as recorded by crossref.

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3. Snow Albedo Feedbacks Enhance Snow Impurity‐Induced Radiative Forcing in the Sierra Nevada H. Huang et al. https://doi.org/10.1029/2022GL098102
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6. High resolution assessment of the impact of solar radiation modification on future Caribbean wind and solar energy sources M. Williams et al. https://doi.org/10.1088/2752-5295/ae2f93
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8. Evaluation of the WRF physical parameterisations for Typhoon rainstorm simulation in southeast coast of China J. Tian et al. https://doi.org/10.1016/j.atmosres.2020.105130
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10. Quantifying Carbon Monoxide Emissions on the Scale of Large Wildfires M. Bela et al. https://doi.org/10.1029/2021GL095831
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14. The Contribution of Local Anthropogenic Emissions to Air Pollutants in Lhasa on the Tibetan Plateau S. Chen et al. https://doi.org/10.1029/2021JD036202
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17. An investigation into atmospheric nitrous acid (HONO) processes in South Korea K. Kim et al. https://doi.org/10.5194/acp-24-12575-2024
18. Revisiting the Precipitous Terrain Classification from a Meteorological Perspective D. Muñoz-Esparza et al. https://doi.org/10.1175/JAMC-D-20-0268.1
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21. WRF-Chem Modeling of Tropospheric Ozone in the Coastal Cities of the Gulf of Finland G. Nerobelov et al. https://doi.org/10.3390/atmos15070775
22. WRF-Chem v3.9 simulations of the East Asian dust storm in May 2017: modeling sensitivities to dust emission and dry deposition schemes Y. Zeng et al. https://doi.org/10.5194/gmd-13-2125-2020
23. Heat flux assumptions contribute to overestimation of wildfire smoke injection into the free troposphere L. Thapa et al. https://doi.org/10.1038/s43247-022-00563-x
24. Post-disaster investigation and WRF model reconstruction of April 27th tornado in Guangzhou based on muti-source data fusion S. Hu et al. https://doi.org/10.1016/j.awe.2025.100098
25. Validation of TROPOMI and WRF-Chem NO2 across seasons using SWING+ and surface observations over Bucharest A. Pasternak et al. https://doi.org/10.5194/acp-26-5185-2026
26. Satellite soil moisture data assimilation impacts on modeling weather variables and ozone in the southeastern US – Part 1: An overview M. Huang et al. https://doi.org/10.5194/acp-21-11013-2021
27. The Role of Atmospheric Rivers on Groundwater: Lessons Learned From an Extreme Wet Year E. Siirila‐Woodburn et al. https://doi.org/10.1029/2022WR033061
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29. Analysis of CO2, CH4, and CO surface and column concentrations observed at Réunion Island by assessing WRF-Chem simulations S. Callewaert et al. https://doi.org/10.5194/acp-22-7763-2022
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41. Modeling Regional Pollution Transport Events During KORUS‐AQ: Progress and Challenges in Improving Representation of Land‐Atmosphere Feedbacks M. Huang et al. https://doi.org/10.1029/2018JD028554
42. A climate modeling study over Northern Africa and the Mediterranean basin with multi-physics ensemble and coupling to a regional ocean modeling system F. Xie et al. https://doi.org/10.3389/feart.2023.1200004
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44. The Environmental Effects of the April 2020 Wildfires and the Cs-137 Re-Suspension in the Chernobyl Exclusion Zone: A Multi-Hazard Threat R. Baró et al. https://doi.org/10.3390/atmos12040467
45. A Mass-Flux Cumulus Parameterization Scheme across Gray-Zone Resolutions Y. Kwon & S. Hong https://doi.org/10.1175/MWR-D-16-0034.1
46. Impact of direct insertion of SMAP soil moisture retrievals in WRF-Chem for dust storm events in the western U.S. J. Lee et al. https://doi.org/10.1016/j.atmosenv.2024.120349
47. Impact of Resolution and Parameterized Convection on the Diurnal Cycle of Precipitation in a Global Nonhydrostatic Model N. ARNOLD et al. https://doi.org/10.2151/jmsj.2020-066
48. The Impact of Orography on the African Easterly Wave Stormtrack J. White et al. https://doi.org/10.1029/2020JD033749
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50. Investigating the role of aerosol wet scavenging on global horizontal irradiance simulation in the WRF-Chem-solar model S. Wang et al. https://doi.org/10.1016/j.apenergy.2025.126062
51. Investigation of the meteorological effects of urbanization in recent decades: A case study of major cities in Pearl River Delta J. Tse et al. https://doi.org/10.1016/j.uclim.2018.08.007
52. Analysis of an extreme precipitation event on the coast of São Paulo in Brazil using the MPAS model J. Mantovani et al. https://doi.org/10.1016/j.wace.2026.100893
53. Synergy between air pollution and urban meteorological changes through aerosol-radiation-diffusion feedback―A case study of Beijing in January 2013 M. Kajino et al. https://doi.org/10.1016/j.atmosenv.2017.10.018
54. Multiscale Applications of Two Online-Coupled Meteorology-Chemistry Models during Recent Field Campaigns in Australia, Part I: Model Description and WRF/Chem-ROMS Evaluation Using Surface and Satellite Data and Sensitivity to Spatial Grid Resolutions Y. Zhang et al. https://doi.org/10.3390/atmos10040189
55. Changes in a Bottom-Up Vehicular Emissions Inventory and Its Impact on Air Pollution During COVID-19 Lockdown in São Paulo, Brazil S. Ibarra-Espinosa et al. https://doi.org/10.3389/frsc.2022.883112
56. Efficient In‐Cloud Removal of Aerosols by Deep Convection P. Yu et al. https://doi.org/10.1029/2018GL080544
57. Impacts of 3DEnVar-Based FY-3D MWHS-2 Radiance Assimilation on Numerical Simulations of Landfalling Typhoon Ampil (2018) L. Song et al. https://doi.org/10.3390/rs14236037
58. Application of deep forest algorithm incorporating seasonality and temporal correlation for wind speed prediction in offshore wind farm H. Fang et al. https://doi.org/10.3389/fenrg.2024.1488718
59. The Impact of Future Fuel Consumption on Regional Air Quality in Southeast Asia H. Lee et al. https://doi.org/10.1038/s41598-019-39131-3
60. Biomass-burning-induced surface darkening and its impact on regional meteorology in eastern China R. Tang et al. https://doi.org/10.5194/acp-20-6177-2020
61. Aerosol-cloud associations over Gangetic Basin during a typical monsoon depression event using WRF-Chem simulation C. Sarangi et al. https://doi.org/10.1002/2015JD023634
62. Will assimilating VIIRS AOD data improve New Delhi's air pollution forecasts as much as assimilating MODIS AOD? R. Kumar et al. https://doi.org/10.1016/j.atmosenv.2025.121526
63. Wintertime new particle formation and its contribution to cloud condensation nuclei in the Northeastern United States F. Yu et al. https://doi.org/10.5194/acp-20-2591-2020
64. 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
65. Insights into the Summer Diurnal Cycle over Eastern South Africa S. Koseki et al. https://doi.org/10.1175/MWR-D-18-0184.1
66. A Bayesian hierarchical spatio-temporal model for extreme temperatures in Extremadura (Spain) simulated by a Regional Climate Model J. García et al. https://doi.org/10.1007/s00382-022-06638-x
67. Quantifying errors in surface ozone predictions associated with clouds over the CONUS: a WRF-Chem modeling study using satellite cloud retrievals Y. Ryu et al. https://doi.org/10.5194/acp-18-7509-2018
68. Moisture sources and pathways during an extreme rainfall event over South Korea and the role of sea surface temperature anomalies in the Yellow Sea and East China Sea Y. Cao et al. https://doi.org/10.1002/joc.8391
69. Influence of an abnormally cold stratospheric polar vortex on the sub-regional PM2.5 anomaly in East Asia in March of 2021 J. Cho & H. Kim https://doi.org/10.1038/s41612-024-00850-8
70. Weather Simulation of Extreme Precipitation Events Inducing Slope Instability Processes over Mountain Landscapes A. Golzio et al. https://doi.org/10.3390/app10124243
71. Warming and Wetting will continue over the Tibetan Plateau in the Shared Socioeconomic Pathways H. Deng et al. https://doi.org/10.1371/journal.pone.0289589
72. Mapeamento solarimétrico do estado de alagoas em anos de eventos extremos pluviométricos, utilizando o modelo WRF-Solar T. Alves da Silva et al. https://doi.org/10.26848/rbgf.v19.02.p586-599
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74. Roles of Terrain, Surface Roughness, and Cold Pool Outflows in an Extreme Rainfall Event Over the Coastal Region of South China H. Li et al. https://doi.org/10.1029/2021JD035556
75. Convection-permitting modeling strategies for simulating extreme rainfall events over Southeastern South America M. Feijoó & S. Solman https://doi.org/10.1007/s00382-022-06226-z
76. Evaluation of WRF Cumulus Parameterization Schemes for the Hot Climate of Sudan Emphasizing Crop Growing Seasons A. Musa et al. https://doi.org/10.3390/atmos13040572
77. Assessment of AOD Simulation by Assimilating Himawari and MODIS Products Z. Wang et al. https://doi.org/10.1007/s13351-025-4220-4
78. Assessment of the Microphysics and Cumulus Parameterization Schemes in WRF for Simulating the Heavy Rainfall Event on 8 August 2022 in South Korea M. Yu et al. https://doi.org/10.1007/s13143-026-00448-5
79. Sensitivity Study of WRF Numerical Modeling for Forecasting Heavy Rainfall in Sri Lanka C. Rodrigo et al. https://doi.org/10.3390/atmos9100378
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81. BRAMS model performance for significant event involving Brazilian platform ship K. Rodrigues et al. https://doi.org/10.1007/s11069-021-05037-5
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85. Online-Coupled Aerosol Effects on Cloud Microphysics and Surface Solar Irradiance in WRF-Solar S. Wang et al. https://doi.org/10.3390/rs17162829
86. Examining Terrain Effects on an Upstate New York Tornado Event Utilizing a High-Resolution Model Simulation L. LeBel et al. https://doi.org/10.1175/WAF-D-21-0018.1
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88. The Observation Path Problems and the Formation Conditions of the Elevated Layer of Black Carbon Aerosol L. Jin et al. https://doi.org/10.3390/atmos11050481
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98. How meteorological conditions influence aerosol-cloud interactions under different pollution regimes J. Zhao et al. https://doi.org/10.5194/acp-25-17701-2025
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100. Quantifying the Spatial Variability of a Snowstorm Using Differential Airborne Lidar W. Brandt et al. https://doi.org/10.1029/2019WR025331
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104. Evaluation of the Rapid Refresh Numerical Weather Prediction Model over Arctic Alaska M. Bray et al. https://doi.org/10.1175/WAF-D-20-0169.1
105. Pseudo-climate modelling study on projected changes in extreme extratropical cyclones, storm waves and surges under CMIP5 multi-model ensemble: Baltic Sea perspective M. Mäll et al. https://doi.org/10.1007/s11069-020-03911-2
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107. Typhoon Fanapi (2010) and its Interaction with Taiwan Terrain – Evaluation of the Uncertainty in Track, Intensity and Rainfall Simulations Y. Lin et al. https://doi.org/10.2151/jmsj.2020-006
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110. Characteristics of rainfall events in regional climate model simulations for the Czech Republic V. Svoboda et al. https://doi.org/10.5194/hess-21-963-2017
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116. Increased importance of aerosol–cloud interactions for surface PM2.5 pollution relative to aerosol–radiation interactions in China with the anthropogenic emission reductions D. Gao et al. https://doi.org/10.5194/acp-23-14359-2023
117. Ozone transport and thermodynamics during the passage of squall line in Central Amazon A. Melo et al. https://doi.org/10.1016/j.atmosenv.2019.02.018
118. A multi-scale model analysis of ozone formation in the Bangkok Metropolitan Region, Thailand P. Uttamang et al. https://doi.org/10.1016/j.atmosenv.2020.117433
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123. A moist aquaplanet variant of the Held–Suarez test for atmospheric model dynamical cores D. Thatcher & C. Jablonowski https://doi.org/10.5194/gmd-9-1263-2016
124. Assessment of the weather research and forecasting model generalized parameterization schemes for advancement of precipitation forecasting in monsoon‐driven river basins S. Sikder & F. Hossain https://doi.org/10.1002/2016MS000678
125. Evaluation of the Skill of a Fully-Coupled Atmospheric–Hydrological Model in Simulating Extreme Hydrometeorological Event: A Case Study Over Cauvery River Catchment S. Sarkar & S. Himesh https://doi.org/10.1007/s00024-021-02684-4
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127. Distribution of surface carbon monoxide over the Indian subcontinent: Investigation of source contributions using WRF-Chem N. I et al. https://doi.org/10.1016/j.atmosenv.2020.117838
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518. Impacts of estimated plume rise on PM2.5 exceedance prediction during extreme wildfire events: a comparison of three schemes (Briggs, Freitas, and Sofiev) Y. Li et al. https://doi.org/10.5194/acp-23-3083-2023
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529. Impacts of air pollutants from fire and non-fire emissions on the regional air quality in Southeast Asia H. Lee et al. https://doi.org/10.5194/acp-18-6141-2018
530. Optimal selection of satellite XCO2 images for urban CO2 emission monitoring A. Danjou et al. https://doi.org/10.5194/amt-18-533-2025
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533. Modeling the radiative effects of biomass burning aerosols on carbon fluxes in the Amazon region D. Moreira et al. https://doi.org/10.5194/acp-17-14785-2017
534. Development of Sulfur Oxides Analysis in the Atmosphere by an Alkaline Filter Paper Method without Toxic Substances H. MITSUNAGA et al. https://doi.org/10.2116/bunsekikagaku.67.743
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544. Development of East Asia Regional Reanalysis based on advanced hybrid gain data assimilation method and evaluation with E3DVAR, ERA-5, and ERA-Interim reanalysis E. Yang et al. https://doi.org/10.5194/essd-14-2109-2022
545. Modeling extreme weather events for offshore wind in the North Sea: a sensitivity analysis to physics parameterizations in WRF A. Vemuri et al. https://doi.org/10.1088/1742-6596/2265/2/022014
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548. Quantifying the impact of assimilating sensitive observations on heavy precipitation forecast with ensemble-based forecast sensitivity to observations technique L. Huang et al. https://doi.org/10.1016/j.atmosres.2023.107144
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550. An ensemble of state-of-the-art ash dispersion models: towards probabilistic forecasts to increase the resilience of air traffic against volcanic eruptions M. Plu et al. https://doi.org/10.5194/nhess-21-2973-2021
551. Characteristics and mechanisms of the sudden warming events in the nocturnal atmospheric boundary layer: A case study using WRF Y. Ma et al. https://doi.org/10.1007/s13351-015-4101-3
552. Impacts of elevated anthropogenic emissions on physicochemical characteristics of black-carbon-containing particles over the Tibetan Plateau J. Wang et al. https://doi.org/10.5194/acp-24-11063-2024
553. A Long-Term WRF Meteorological Archive for Dispersion Simulations: Application to Controlled Tracer Experiments F. Ngan & A. Stein https://doi.org/10.1175/JAMC-D-16-0345.1
554. Multi‐GNSS Airborne Radio Occultation Observations as a Complement to Dropsondes in Atmospheric River Reconnaissance J. Haase et al. https://doi.org/10.1029/2021JD034865
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556. Sensitivity of precipitation in the highlands and lowlands of Peru to physics parameterization options in WRFV3.8.1 S. González-Rojí et al. https://doi.org/10.5194/gmd-15-2859-2022
557. Forecasting of an unusual dust event over western India by the Air Quality Early Warning System G. Kalita et al. https://doi.org/10.1016/j.atmosenv.2023.120013
558. WRF‐based dynamical downscaling of ERA5 reanalysis data for High Mountain Asia: Towards a new version of the High Asia Refined analysis X. Wang et al. https://doi.org/10.1002/joc.6686
559. Anthropogenic Contributions to the 2021 Pacific Northwest Heatwave E. Bercos‐Hickey et al. https://doi.org/10.1029/2022GL099396
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561. The Impact of Scale-Aware Parameterization on the Next-Generation Global Prediction System in Taiwan for Front Predictions C. Lin et al. https://doi.org/10.3390/atmos13071063
562. Model Sensitivity Evaluation for 3DVAR Data Assimilation Applied on WRF with a Nested Domain Configuration M. Lam & J. Fung https://doi.org/10.3390/atmos12060682
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568. Can the Assimilation of the Ascending and Descending Sections’ Data from Round-Trip Drifting Soundings Improve the Forecasting of Rainstorms in Eastern China? X. Zhang et al. https://doi.org/10.3390/atmos14071127
569. Intercomparison of atmospheric forcing datasets and twoPBLschemes for precipitation modelling over a coastal valley in northern British Columbia, Canada C. Onwukwe et al. https://doi.org/10.1002/met.2043
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571. Impact of the Diurnal Radiation Contrast on the Contraction of Radius of Maximum Wind during Intensification of Hurricane Edouard (2014) X. Tang et al. https://doi.org/10.1175/JAS-D-18-0131.1
572. Assessing Impacts of the High-Frequency Assimilation of Surface Observations for the Forecast of Convection Initiation on 3 April 2014 within the Dallas–Fort Worth Test Bed N. Gasperoni et al. https://doi.org/10.1175/MWR-D-18-0177.1
573. Evaluation of the WRF-UCM mesoscale model and ECMWF global operational forecasts over the Paris region in the prospect of tracer atmospheric transport modeling J. Lian et al. https://doi.org/10.1525/elementa.319
574. What caused the extreme CO concentrations during the 2017 high-pollution episode in India? I. Dekker et al. https://doi.org/10.5194/acp-19-3433-2019
575. Carbon monoxide air pollution on sub-city scales and along arterial roads detected by the Tropospheric Monitoring Instrument T. Borsdorff et al. https://doi.org/10.5194/acp-19-3579-2019
576. Effect of a Scale‐Aware Convective Parameterization Scheme on the Simulation of Convective Cells‐Related Heavy Rainfall in South Korea H. Park et al. https://doi.org/10.1029/2021MS002696
577. Improving the predictability of the Qendresa Medicane by the assimilation of conventional and atmospheric motion vector observations. Storm-scale analysis and short-range forecast D. Carrió https://doi.org/10.5194/nhess-23-847-2023
578. Insights into Atmospheric Predictability through Global Convection-Permitting Model Simulations F. Judt https://doi.org/10.1175/JAS-D-17-0343.1
579. 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
580. Sensitivity Study on the Influence of Parameterization Schemes in WRF_ARW Model on Short- and Medium-Range Precipitation Forecasts in the Central Andes of Peru A. Moya-Álvarez et al. https://doi.org/10.1155/2018/1381092
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582. Cumulus Parameterization for Gray Zone: A Conceptual Model M. Sugi https://doi.org/10.2151/sola.2025-038
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