772 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
7. Assessing Desert Dust Indirect Effects on Cloud Microphysics through a Cloud Nucleation Scheme: A Case Study over the Western Mediterranean K. Tsarpalis et al. https://doi.org/10.3390/rs12213473
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
9. Application of Machine Learning Models for Convective Meteorological Events M. Pereira-Nunes et al. https://doi.org/10.1007/s00024-023-03395-8
10. Quantifying Carbon Monoxide Emissions on the Scale of Large Wildfires M. Bela et al. https://doi.org/10.1029/2021GL095831
11. Evaluating MPAS-A Performance for Mesoscale Simulation in a Tropical Region: A Case Study of Extreme Heat in Jakarta, Indonesia F. Fajary et al. https://doi.org/10.3390/atmos15101202
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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
19. Bridging the (Knowledge) Gap between Physics and Dynamics M. Gross et al. https://doi.org/10.1175/BAMS-D-15-00103.1
20. WRF‐Chem Simulation of an East Asian Dust‐Infused Baroclinic Storm (DIBS) P. Caffrey et al. https://doi.org/10.1029/2017JD027848
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
28. Effects of Assimilating Clear-Sky FY-3D MWHS2 Radiance on the Numerical Simulation of Tropical Storm Ampil D. Xu et al. https://doi.org/10.3390/rs13152873
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
30. Enhanced PM2.5 pollution in China due to aerosol-cloud interactions B. Zhao et al. https://doi.org/10.1038/s41598-017-04096-8
31. The Impact of a Stochastically Perturbing Microphysics Scheme on an Idealized Supercell Storm X. Qiao et al. https://doi.org/10.1175/MWR-D-17-0064.1
32. Modeling regional air quality and climate: improving organic aerosol and aerosol activation processes in WRF/Chem version 3.7.1 K. Yahya et al. https://doi.org/10.5194/gmd-10-2333-2017
33. Microphysical mechanisms of wintertime postfrontal precipitation enhancement over the Australian Snowy Mountains A. Gevorgyan et al. https://doi.org/10.1002/qj.4646
34. Incorporating a Large‐Scale Constraint Into Radar Data Assimilation to Mitigate the Effects of Large‐Scale Bias on the Analysis and Forecast of a Squall Line Over the Yangtze‐Huaihe River Basin X. Yue et al. https://doi.org/10.1029/2018JD028362
35. 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
36. How Does a Pinatubo‐Size Volcanic Cloud Reach the Middle Stratosphere? G. Stenchikov et al. https://doi.org/10.1029/2020JD033829
37. The coupling of deep convection with the resolved flow via the divergence of mass flux in the IFS S. Malardel & P. Bechtold https://doi.org/10.1002/qj.3528
38. Impacts of the stochastically perturbed parameterization on the precipitation ensemble forecasts of the Betts–Miller–Janjić (BMJ) scheme in Eastern China X. Qiao et al. https://doi.org/10.1016/j.atmosres.2023.107036
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
41. 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
42. Evaluating the influence of deep convection on tropopause thermodynamics and lower stratospheric water vapor: A RELAMPAGO case study using the WRF model B. Gamelin et al. https://doi.org/10.1016/j.atmosres.2021.105986
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
46. 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
47. The Impact of Orography on the African Easterly Wave Stormtrack J. White et al. https://doi.org/10.1029/2020JD033749
48. Evaluation of observation impact on the meteorological forecasts associated with heat wave in 2018 over East Asia using observing system experiments D. Kim & H. Kim https://doi.org/10.1016/j.heliyon.2023.e23064
49. 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
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. 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
72. 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
73. 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
74. 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
75. Assessment of AOD Simulation by Assimilating Himawari and MODIS Products Z. Wang et al. https://doi.org/10.1007/s13351-025-4220-4
76. Sensitivity Study of WRF Numerical Modeling for Forecasting Heavy Rainfall in Sri Lanka C. Rodrigo et al. https://doi.org/10.3390/atmos9100378
77. 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
78. 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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80. Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multisource Data Fusion G. Geng et al. https://doi.org/10.1021/acs.est.1c01863
81. Online-Coupled Aerosol Effects on Cloud Microphysics and Surface Solar Irradiance in WRF-Solar S. Wang et al. https://doi.org/10.3390/rs17162829
82. 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
83. Implementation and initial application of new chemistry-aerosol options in WRF/Chem for simulating secondary organic aerosols and aerosol indirect effects for regional air quality K. Wang et al. https://doi.org/10.1016/j.atmosenv.2014.12.007
84. 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
85. A Prognostic-Stochastic and Scale-Adaptive Cumulus Convection Closure for Improved Tropical Variability and Convective Gray-Zone Representation in NOAA’s Unified Forecast System (UFS) L. Bengtsson et al. https://doi.org/10.1175/MWR-D-22-0114.1
86. Impact of scale-aware deep convection on the cloud liquid and ice water paths and precipitation using the Model for Prediction Across Scales (MPAS-v5.2) L. Fowler et al. https://doi.org/10.5194/gmd-13-2851-2020
87. 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
88. Power plant fuel switching and air quality in a tropical, forested environment A. Medeiros et al. https://doi.org/10.5194/acp-17-8987-2017
89. Estudo de caso de chuva intensa para a cidade de Fortaleza-CE e municípios litorâneos utilizando o Modelo WRF 3.9.1 L. Vieira et al. https://doi.org/10.55761/abclima.v35i20.17072
90. Flood Inundation Mapping at Ungauged Basins Using Coupled Hydrometeorological–Hydraulic Modelling: The Catastrophic Case of the 2006 Flash Flood in Volos City, Greece G. Papaioannou et al. https://doi.org/10.3390/w11112328
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93. Influences of Cloud Microphysics on the Components of Solar Irradiance in the WRF-Solar Model X. Zhou et al. https://doi.org/10.3390/atmos15010039
94. How meteorological conditions influence aerosol-cloud interactions under different pollution regimes J. Zhao et al. https://doi.org/10.5194/acp-25-17701-2025
95. Observations and Simulation of Elevated Nocturnal Convection Initiation on 24 June 2015 during PECAN S. Trier et al. https://doi.org/10.1175/MWR-D-19-0218.1
96. Quantifying the Spatial Variability of a Snowstorm Using Differential Airborne Lidar W. Brandt et al. https://doi.org/10.1029/2019WR025331
97. Assessment of Different WRF Configurations Performance for a Rain Event over Panama M. Sierra-Lorenzo et al. https://doi.org/10.4236/acs.2020.103016
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100. 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
101. 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
102. An Evaluation of Simulated Precipitation Characteristics during OLYMPEX R. Conrick & C. Mass https://doi.org/10.1175/JHM-D-18-0144.1
103. 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
104. The combined effects of convective entrainment and orographic drag on precipitation over the Tibetan Plateau J. Li et al. https://doi.org/10.1007/s11430-024-1619-5
105. Implementing the HYbrid MAss flux Convection Scheme (HYMACS) in ICON – First idealized tests and adaptions to the dynamical core for local mass sources M. Langguth et al. https://doi.org/10.1002/qj.3812
106. 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
107. Evaluation of a localized particle filter with all-sky FY-4 AGRI infrared radiance assimilation for the convection-permitting simulation of an extremely heavy rainfall event H. Chen et al. https://doi.org/10.1016/j.atmosres.2026.108866
108. WRF convective gray-zone simulations of the freshwater flux over the Ca Mau Peninsula, Southern Vietnam: Impacts of planetary boundary layer parameterizations D. Tran-Anh et al. https://doi.org/10.1016/j.atmosres.2026.109029
109. High-resolution projections of future FWI conditions for Portugal according to CMIP6 future climate scenarios S. Cardoso Pereira et al. https://doi.org/10.1007/s00704-024-05142-y
110. 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
111. Impacts of Land-Use/Land-Cover Change on Afternoon Precipitation over North America L. Chen & P. Dirmeyer https://doi.org/10.1175/JCLI-D-16-0589.1
112. 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
113. 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
114. 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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116. Predicting Convectively Induced Turbulence With Regionally Convection-Permitting Simulations H. Chen et al. https://doi.org/10.1007/s13143-025-00398-4
117. Results of Tuned Parameterizations of a Weather Forecast Numerical Model by Measured Characteristics of Temperature Inversions in the Planetary Boundary Layer of the Moscow Megapolis R. Zhuravlev et al. https://doi.org/10.1134/S0001433824700075
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119. 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
120. 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
121. 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
122. Quantifying the impact of cropland wind erosion on air quality: A high-resolution modeling case study of an Arizona dust storm J. Joshi https://doi.org/10.1016/j.atmosenv.2021.118658
123. 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
124. Extreme windstorms in the Northeastern USA in the contemporary and future climate X. Zhou et al. https://doi.org/10.1007/s00382-023-07012-1
125. How Will Air Quality Change in South Asia by 2050? R. Kumar et al. https://doi.org/10.1002/2017JD027357
126. Recurrent Neural Network and random forest for analysis and accurate forecast of atmospheric pollutants: A case study in Hangzhou, China R. Feng et al. https://doi.org/10.1016/j.jclepro.2019.05.319
127. Sowing Storms: How Model Timestep Can Control Tropical Cyclone Frequency in a GCM C. Zarzycki https://doi.org/10.1029/2021MS002791
128. Mid-Holocene climate over the Mediterranean, North Africa, and Middle East simulated using a regional climate model F. Xie et al. https://doi.org/10.1177/09596836251350243
129. Water vapor and cloud microphysical characteristics of a sea-effect snowstorm in Shandong Peninsula, China J. Li et al. https://doi.org/10.1016/j.jastp.2022.105910
130. Development of a Numerical Prediction Model for Marine Lower Atmospheric Ducts and Its Evaluation across the South China Sea Q. Liu et al. https://doi.org/10.3390/jmse12010141
131. Partial repowering analysis of a wind farm by turbine hub height variation to mitigate neighboring wind farm wake interference using mesoscale simulations A. Syed et al. https://doi.org/10.1016/j.apenergy.2020.115050
132. Sensitivity experiments on the role of moisture in the eastward propagation of MJO X. Zhu et al. https://doi.org/10.1007/s00382-021-06126-8
133. Climate Change Projections of Extreme Temperatures for the Iberian Peninsula C. Viceto et al. https://doi.org/10.3390/atmos10050229
134. Microburst Detection With the WRF Model: Effective Resolution and Forecasting Indices P. Bolgiani et al. https://doi.org/10.1029/2020JD032883
135. Impact of different microphysics and cumulus parameterizations in WRF for heavy rainfall simulations in the central segment of the Tianshan Mountains, China Y. Liu et al. https://doi.org/10.1016/j.atmosres.2020.105052
136. Assessing Climate Change Projections through High-Resolution Modelling: A Comparative Study of Three European Cities A. Ascenso et al. https://doi.org/10.3390/su16177276
137. Rice yield reductions due to ozone exposure and the roles of VOCs and NO_x in ozone production in Japan K. TATSUMI https://doi.org/10.2480/agrmet.D-21-00051
138. Sensitivity of low-level clouds and precipitation to anthropogenic aerosol emission in southern West Africa: a DACCIWA case study A. Deroubaix et al. https://doi.org/10.5194/acp-22-3251-2022
139. Two high-impact extreme precipitation events during the Meiyu season: simulations and their sensitivity to a scale-aware convective parameterization scheme Q. Qian et al. https://doi.org/10.1088/2515-7620/ad37a9
140. Evaluation of high‐resolution regional CO2 data assimilation–forecast system in East Asia using observing system simulation experiment and effect of observation network on simulated CO2 concentrations M. Seo & H. Kim https://doi.org/10.1002/qj.4987
141. Sensitivity analysis of mesoscale simulations to physics parameterizations over the Belgian North Sea using Weather Research and Forecasting – Advanced Research WRF (WRF-ARW) A. Vemuri et al. https://doi.org/10.5194/wes-7-1869-2022
142. Impacts of deforestation on drought patterns across multiple time scales in Europe: insights from LUCAS regional climate models Y. Li et al. https://doi.org/10.1016/j.jhydrol.2025.133781
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144. Numerical Simulations of the South American Low Level Jet in Two Episodes of MCSs: Sensitivity to PBL and Convective Parameterization Schemes D. Santos & E. Nascimento https://doi.org/10.1155/2016/2812978
145. Effects of assimilation of YOPP‐SH additional radiosonde observations on analyses and forecasts over Antarctica in austral summer Y. Choi et al. https://doi.org/10.1002/qj.4528
146. A comparative study of mesoscale flow-field modelling in an Eastern Alpine region using WRF and GRAMM-SCI D. Oettl & G. Veratti https://doi.org/10.1016/j.atmosres.2020.105288
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451. Transported aerosols regulate the pre-monsoon rainfall over north-east India: a WRF-Chem modelling study N. Barman & S. Gokhale https://doi.org/10.5194/acp-23-6197-2023
452. Recommended coupling to global meteorological fields for long-term tracer simulations with WRF-GHG D. Ho et al. https://doi.org/10.5194/gmd-17-7401-2024
453. Simulated Kelvin–Helmholtz Waves over Terrain and Their Microphysical Implications R. Conrick et al. https://doi.org/10.1175/JAS-D-18-0073.1
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456. Errors and improvements in the use of archived meteorological data for chemical transport modeling: an analysis using GEOS-Chem v11-01 driven by GEOS-5 meteorology K. Yu et al. https://doi.org/10.5194/gmd-11-305-2018
457. Forecasting a Hailstorm in Western China Plateau by Assimilating XPAR Radar Network Data with WRF-FDDA-HLHN J. Peng et al. https://doi.org/10.3390/rs18070968
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460. Assessing the impact of modified LULC on extreme hydrological event over a complex terrain: A case study for kodagu 2018 flood event S. Sarkar & S. Himesh https://doi.org/10.1016/j.jastp.2022.105961
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464. Impact of irrigation on farmworkers’ heat stress in California differs by season and during the day and night S. Parajuli et al. https://doi.org/10.1038/s43247-024-01959-7
465. Validation of Snow Multibands in the Comma Head of an Extratropical Cyclone Using a 40-Member Ensemble R. Connelly & B. Colle https://doi.org/10.1175/WAF-D-18-0182.1
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481. 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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485. Technical descriptions of the experimental dynamical downscaling simulations over North America by the CAM–MPAS variable-resolution model K. Sakaguchi et al. https://doi.org/10.5194/gmd-16-3029-2023
486. A Case Study of the Effect of the Observation Time in 3D-Var on Near-Surface Wind Forecasts in a Limited Region J. Yang et al. https://doi.org/10.2151/sola.2019-031
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497. Modulations of dust aerosols on precipitation: Evidence from a typical heavy sandstorm event J. Wang et al. https://doi.org/10.1016/j.atmosres.2024.107411
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501. 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
502. Reducing dependence of modeled resuspended volcanic ash on meteorological grid resolution A. Crawford et al. https://doi.org/10.3389/feart.2025.1511847
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504. Skill and Potential Economic Value of Forecasts of Ice Accretion on Wind Turbines L. Strauss et al. https://doi.org/10.1175/JAMC-D-20-0025.1
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507. Shallow Cumulus Representation and Its Interaction with Radiation and Surface at the Convection Gray Zone X. Pedruzo-Bagazgoitia et al. https://doi.org/10.1175/MWR-D-19-0030.1
508. Assessing Sea-State Effects on Sea-Salt Aerosol Modeling in the Lower Atmosphere Using Lidar and In-Situ Measurements G. Varlas et al. https://doi.org/10.3390/rs13040614
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511. 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
512. Optimal selection of satellite XCO2 images for urban CO2 emission monitoring A. Danjou et al. https://doi.org/10.5194/amt-18-533-2025
513. Potential contribution of land cover change on flood events in the Senegal River basin A. Ndiaye et al. https://doi.org/10.3389/frwa.2024.1447577
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515. 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
516. 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
517. Land surface model influence on the simulated climatologies of temperature and precipitation extremes in the WRF v3.9 model over North America A. García-García et al. https://doi.org/10.5194/gmd-13-5345-2020
518. 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
519. Limited-Area Atmospheric Modeling Using an Unstructured Mesh W. Skamarock et al. https://doi.org/10.1175/MWR-D-18-0155.1
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522. 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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524. Extreme precipitation modeling and Probable Maximum Precipitation (PMP) estimation in Chile Y. Hiraga & J. Meza https://doi.org/10.1016/j.ejrh.2025.102274
525. Sensitivity of WRF-Chem model to land surface schemes: Assessment in a severe dust outbreak episode in the Central Mediterranean (Apulia Region) U. Rizza et al. https://doi.org/10.1016/j.atmosres.2017.10.022
526. 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
527. 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
528. Effects of biogenic volatile organic compounds and anthropogenic NOx emissions on O3 and PM2.5 formation over the northern region of Thailand P. Uttamang et al. https://doi.org/10.3389/fenvs.2023.1146437
529. A simple and realistic aerosol emission approach for use in the Thompson–Eidhammer microphysics scheme in the NOAA UFS Weather Model (version GSL global-24Feb2022) H. Li et al. https://doi.org/10.5194/gmd-17-607-2024
530. 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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532. 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
533. 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
534. 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
535. 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
536. 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
537. Machine learning parameterization of the multi-scale Kain–Fritsch (MSKF) convection scheme and stable simulation coupled in the Weather Research and Forecasting (WRF) model using WRF–ML v1.0 X. Zhong et al. https://doi.org/10.5194/gmd-17-3667-2024
538. 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
539. 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
540. 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
541. Anthropogenic Contributions to the 2021 Pacific Northwest Heatwave E. Bercos‐Hickey et al. https://doi.org/10.1029/2022GL099396
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543. 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
544. 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
545. 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
546. Sensitivity of simulated chemical concentrations and aerosol‐meteorology interactions to aerosol treatments and biogenic organic emissions in WRF/Chem Y. Zhang et al. https://doi.org/10.1002/2016JD024882
547. 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
548. Moist Process Biases in Simulations of the Madden–Julian Oscillation Episodes Observed during the AMIE/DYNAMO Field Campaign S. Hagos et al. https://doi.org/10.1175/JCLI-D-15-0349.1
549. Stable machine-learning parameterization of subgrid processes for climate modeling at a range of resolutions J. Yuval & P. O’Gorman https://doi.org/10.1038/s41467-020-17142-3
550. 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
551. 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
552. 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
553. 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
554. 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
555. 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
556. 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
557. 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
558. 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
559. 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
560. Insights into Atmospheric Predictability through Global Convection-Permitting Model Simulations F. Judt https://doi.org/10.1175/JAS-D-17-0343.1
561. 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
562. 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
563. Evaluation of Cumulus and Microphysics Parameterizations in WRF across the Convective Gray Zone J. Jeworrek et al. https://doi.org/10.1175/WAF-D-18-0178.1
564. Cumulus Parameterization for Gray Zone: A Conceptual Model M. Sugi https://doi.org/10.2151/sola.2025-038
565. Long-term variations in sea ice extent can influence trends in maximum sea level in the northeastern Baltic Sea Ü. Suursaar et al. https://doi.org/10.1016/j.csr.2025.105451
566. Radar Data Assimilation with EnKF-IAU: Impacts on Dynamical Structure and Short-term Prediction of Landfalling Typhoon Bebinca (2024) Z. Huo et al. https://doi.org/10.1007/s00376-025-5446-x
567. Satellite‐Based Fully Connected Neural Network Heating (FCNH) Algorithm for Estimating Latent Heating Rate Inside Storms H. Zhao et al. https://doi.org/10.1029/2022JD038448
568. 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
569. 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
570. 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
571. 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
572. 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
573. Development of the WRF-CO2 4D-Var assimilation system v1.0 T. Zheng et al. https://doi.org/10.5194/gmd-11-1725-2018
574. Investigating the role of dust in ice nucleation within clouds and further effects on the regional weather system over East Asia – Part 2: modification of the weather system L. Su & J. Fung https://doi.org/10.5194/acp-18-11529-2018
575. Adaptation of the Predicted Particles Properties (P3) Microphysics Scheme for Large-Scale Numerical Weather Prediction C. Jouan et al. https://doi.org/10.1175/WAF-D-20-0111.1
576. Convection‐Permitting Hindcasting of Diurnal Variation of Mei‐yu Rainfall Over East China With a Global Variable‐Resolution Model M. Xu et al. https://doi.org/10.1029/2021JD034823
577. Impacts of radiative effect of pre-monsoon biomass burning aerosols on atmospheric circulation and rainfall over Southeast Asia and southern China S. Yang et al. https://doi.org/10.1007/s00382-021-06135-7
578. Assessing the accuracy of meteorological transport model ensemble towards estimating Indian carbon fluxes T. Anna Mathew et al. https://doi.org/10.1088/2752-5295/adffa7
579. Implications of dust minerals on radiative transfer at regional scale, using the METAL-WRF model C. Spyrou et al. https://doi.org/10.5194/amt-18-7717-2025
580. Improving flood forecasts capability of Taihang Piedmont basin by optimizing WRF parameter combination and coupling with HEC-HMS T. Zhang et al. https://doi.org/10.1007/s00704-024-04836-7
581. Performance evaluation of an operational lightning forecasting system in Europe T. Giannaros et al. https://doi.org/10.1007/s11069-016-2555-y
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583. Implementation of Aerosol-Cloud Interaction within WRF-CHIMERE Online Coupled Model: Evaluation and Investigation of the Indirect Radiative Effect from Anthropogenic Emission Reduction on the Benelux Union P. Tuccella et al. https://doi.org/10.3390/atmos10010020
584. Numerical representation of turbulent fluxes during the March 2019 Nebraska rain-on-snow event R. Dixon et al. https://doi.org/10.1088/1748-9326/ae3fb0
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