787 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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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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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
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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
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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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39. Source attribution of nitrogen dioxide over the Indian subcontinent using WRF-chem P. Mukherjee et al. https://doi.org/10.1016/j.jastp.2023.106051
40. 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
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43. 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
44. A Mass-Flux Cumulus Parameterization Scheme across Gray-Zone Resolutions Y. Kwon & S. Hong https://doi.org/10.1175/MWR-D-16-0034.1
45. 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
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47. 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. 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
51. 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
52. 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
53. 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
54. 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
55. Efficient In‐Cloud Removal of Aerosols by Deep Convection P. Yu et al. https://doi.org/10.1029/2018GL080544
56. 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
57. 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
58. 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
59. 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
60. 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
61. 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
62. 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
63. 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
64. Insights into the Summer Diurnal Cycle over Eastern South Africa S. Koseki et al. https://doi.org/10.1175/MWR-D-18-0184.1
65. 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
66. 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
67. 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
68. 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
69. Weather Simulation of Extreme Precipitation Events Inducing Slope Instability Processes over Mountain Landscapes A. Golzio et al. https://doi.org/10.3390/app10124243
70. 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
71. 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
72. Comparing the outputs of general circulation and mesoscale models in the flood forecasts of mountainous basins S. Mahmoudi et al. https://doi.org/10.1007/s11069-025-07131-4
73. 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
74. 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
75. 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
76. Assessment of AOD Simulation by Assimilating Himawari and MODIS Products Z. Wang et al. https://doi.org/10.1007/s13351-025-4220-4
77. 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
78. Sensitivity Study of WRF Numerical Modeling for Forecasting Heavy Rainfall in Sri Lanka C. Rodrigo et al. https://doi.org/10.3390/atmos9100378
79. Robust responses of tropical and post-tropical cyclones to climate warming in WRF and CAM storyline ensembles D. Li et al. https://doi.org/10.1016/j.wace.2026.100909
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85. 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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90. Hydrodynamic and atmospheric conditions in a volcanic caldera: a comprehensive dataset at Deception Island, Antarctica F. Ferrari et al. https://doi.org/10.5194/essd-17-4881-2025
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113. Analysis of Wind Resource Characteristics in the Ulanqab Wind Power Base (Wind Farm): Mesoscale Modeling Approach D. Xu et al. https://doi.org/10.3390/en17143540
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115. 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
116. 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
117. 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. 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
124. 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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492. Impacts of Projected Urban Expansion on Rainfall and Temperature during Rainy Season in the Middle-Eastern Region in Tanzania D. Anande & M. Park https://doi.org/10.3390/atmos12101234
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525. 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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529. 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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535. Evaluation of Cumulus and Microphysical Parameterization Schemes of the WRF Model for Precipitation Prediction in the Paraíba do Sul River Basin, Southeastern Brazil L. de Souza et al. https://doi.org/10.1007/s00024-023-03419-3
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539. 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
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543. 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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545. 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
546. 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
547. 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
548. 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
549. 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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551. 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
552. 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
553. 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
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556. 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
557. 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
558. The “Grey Zone” cold air outbreak global model intercomparison: A cross evaluation using large‐eddy simulations L. Tomassini et al. https://doi.org/10.1002/2016MS000822
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560. Two types of summertime heating over Asian large-scale orography and excitation of potential-vorticity forcing II. Sensible heating over Tibetan-Iranian Plateau Y. Liu et al. https://doi.org/10.1007/s11430-016-9016-3
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563. 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
564. 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
565. Land cover changes reduce dust aerosol concentrations in Northern China (2000–2020) X. Liu et al. https://doi.org/10.1016/j.envres.2025.120823
566. 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
567. 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
568. 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
569. 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
570. 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
571. 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
572. 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
573. Insights into Atmospheric Predictability through Global Convection-Permitting Model Simulations F. Judt https://doi.org/10.1175/JAS-D-17-0343.1
574. 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
575. 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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577. Cumulus Parameterization for Gray Zone: A Conceptual Model M. Sugi https://doi.org/10.2151/sola.2025-038
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581. Dust Emission Modeling Using a New High‐Resolution Dust Source Function in WRF‐Chem With Implications for Air Quality S. Parajuli et al. https://doi.org/10.1029/2019JD030248
582. An evaluation of the WRF physical parameterizations for extreme rainfall simulation in the Yangtze River Middle Reaches Urban Agglomeration Y. Luo et al. https://doi.org/10.1016/j.uclim.2024.102149
583. Evaluating the performance of a WRF initial and physics ensemble over Eastern Black Sea and Mediterranean regions in Turkey E. Duzenli et al. https://doi.org/10.1016/j.atmosres.2020.105184
584. The Effects of Topography and Urban Agglomeration on the Sea Breeze Evolution over the Pearl River Delta Region G. He et al. https://doi.org/10.3390/atmos13010039
585. LUCC-induced dust aerosol change increase surface and reduce atmospheric direct radiative forcing in Northern China W. Wang et al. https://doi.org/10.1016/j.jenvman.2024.122185
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