795 citations as recorded by crossref.

1. Extreme precipitation events under climate change in the Iberian Peninsula S. Cardoso Pereira et al. https://doi.org/10.1002/joc.6269
2. Characterizing and Constraining Uncertainty Associated with Surface and Boundary Layer Turbulent Fluxes in Simulations of Lake-Effect Snowfall J. Minder et al. https://doi.org/10.1175/WAF-D-19-0153.1
3. Snow Albedo Feedbacks Enhance Snow Impurity‐Induced Radiative Forcing in the Sierra Nevada H. Huang et al. https://doi.org/10.1029/2022GL098102
4. Quantifying Discrepancies Between Spaceborne and Ground-Based Lidar Aerosol Vertical Profiles over Coastal Sea–Land Transition Zones S. Zhang et al. https://doi.org/10.3390/rs18101491
5. How Well Does Weather Research and Forecasting (WRF) Model Simulate Storm Rashmi (2008) Itself and Its Associated Extreme Precipitation over the Tibetan Plateau at the Same Time? P. An et al. https://doi.org/10.3390/atmos14101479
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
12. Effect of cloud chemistry on seasonal variations of sulfate and its precursors in China J. Lu et al. https://doi.org/10.1016/j.atmosenv.2024.120820
13. Modeling the transport of PM10, PM2.5, and O3 from South Asia to the Tibetan Plateau Y. Hu et al. https://doi.org/10.1016/j.atmosres.2024.107323
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
15. Simulation of Indian Summer Monsoon Rainfall (ISMR) with fully coupled regional chemistry transport model: A case study for 2017 S. Debnath et al. https://doi.org/10.1016/j.atmosenv.2021.118785
16. How the new climate scenarios will affect air quality trends: An exploratory research S. Coelho et al. https://doi.org/10.1016/j.uclim.2023.101479
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. Spatiotemporal variations of near-surface CO2 concentrations in China and their multiple drivers: Modeling pathways towards the “dual carbon” goals T. Yang et al. https://doi.org/10.1016/j.jclepro.2026.149166
38. 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
39. 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
40. 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
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
43. 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
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
49. 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
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
73. 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
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
80. 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
81. BRAMS model performance for significant event involving Brazilian platform ship K. Rodrigues et al. https://doi.org/10.1007/s11069-021-05037-5
82. Sensitivity of summer rainfall forecast over eastern China to horizontal resolutions: A study using scale-aware cumulus schemes in WRF W. Liu et al. https://doi.org/10.1016/j.atmosres.2026.109214
83. Assimilation of Clear-sky FY-4A AGRI radiances within the WRFDA system for the prediction of a landfalling Typhoon Hagupit (2020) A. Shu et al. https://doi.org/10.1016/j.atmosres.2022.106556
84. 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
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
87. 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
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
89. 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
90. 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
91. 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
92. 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
93. 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
94. 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
95. Medium-Range Convection-Allowing Ensemble Forecasts with a Variable-Resolution Global Model C. Schwartz https://doi.org/10.1175/MWR-D-18-0452.1
96. Impacts of synoptic condition and planetary boundary layer structure on the trans-boundary aerosol transport from Beijing-Tianjin-Hebei region to northeast China Y. Miao et al. https://doi.org/10.1016/j.atmosenv.2018.03.005
97. 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
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
99. 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
100. Quantifying the Spatial Variability of a Snowstorm Using Differential Airborne Lidar W. Brandt et al. https://doi.org/10.1029/2019WR025331
101. 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
102. Extreme Precipitation Events Associated with Summer Rains in the Western Slope of the Peruvian Andes Using a Numerical Modeling and Weather Radar Data: Case Studies A. Moya-Álvarez et al. https://doi.org/10.1007/s00024-025-03834-8
103. Anthropogenic heating of the urban environment: An investigation of feedback dynamics between urban micro-climate and decomposed anthropogenic heating from buildings P. Vahmani et al. https://doi.org/10.1016/j.buildenv.2022.108841
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
106. An Evaluation of Simulated Precipitation Characteristics during OLYMPEX R. Conrick & C. Mass https://doi.org/10.1175/JHM-D-18-0144.1
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
108. 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
109. 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
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
111. 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
112. 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
113. 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
114. 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
115. 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
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
119. Data Assimilation for Rainfall-Runoff Prediction Based on Coupled Atmospheric-Hydrologic Systems with Variable Complexity W. Wang et al. https://doi.org/10.3390/rs13040595
120. Predicting Convectively Induced Turbulence With Regionally Convection-Permitting Simulations H. Chen et al. https://doi.org/10.1007/s13143-025-00398-4
121. 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
122. A Multiple-Model Convection-Permitting Ensemble Examination of the Probabilistic Prediction of Tropical Cyclones: Hurricanes Sandy (2012) and Edouard (2014) C. Melhauser et al. https://doi.org/10.1175/WAF-D-16-0082.1
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
126. 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
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
128. 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
129. How Will Air Quality Change in South Asia by 2050? R. Kumar et al. https://doi.org/10.1002/2017JD027357
130. 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
131. Sowing Storms: How Model Timestep Can Control Tropical Cyclone Frequency in a GCM C. Zarzycki https://doi.org/10.1029/2021MS002791
132. 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
133. 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
134. 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
135. 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
136. 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
137. Climate Change Projections of Extreme Temperatures for the Iberian Peninsula C. Viceto et al. https://doi.org/10.3390/atmos10050229
138. Microburst Detection With the WRF Model: Effective Resolution and Forecasting Indices P. Bolgiani et al. https://doi.org/10.1029/2020JD032883
139. 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
140. 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
141. 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
142. 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
143. 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
144. 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
145. 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
146. 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
147. Mesoscale Model Evaluation Testbed (MMET): A Resource for Transitioning NWP Innovations from Research to Operations (R2O) J. Wolff et al. https://doi.org/10.1175/BAMS-D-15-00001.1
148. 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
149. 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
150. 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
151. Evaluating the Forecast Skill of a Hydrometeorological Modelling System in Greece G. Varlas et al. https://doi.org/10.3390/atmos12070902
152. Spatiotemporal Distribution, Sources, and Impact on Atmospheric Oxidation of Reactive Nitrogen Oxides in the North China Plain Agricultural Regions in Summer S. Wei et al. https://doi.org/10.3390/rs16173192
153. Sensitivity of dust event simulation to dust emission schemes and meteorological forcing datasets in the Belt and Road regions: A case study N. Ren et al. https://doi.org/10.1016/j.atmosres.2024.107817
154. Analyzing the Grell–Freitas Convection Scheme from Hydrostatic to Nonhydrostatic Scales within a Global Model L. Fowler et al. https://doi.org/10.1175/MWR-D-15-0311.1
155. Drone measurements reveal high near-surface urban haze A. Ahlawat et al. https://doi.org/10.1038/s44407-025-00044-3
156. Roles of the Tibetan Plateau and Yunnan‐Guizhou Plateau in the Regional Extreme Precipitation Over Sichuan Basin in Summer: A Case Study X. Xu et al. https://doi.org/10.1029/2023JD039776
157. Influence of anthropogenic emission inventories on simulations of air quality in China during winter and summer 2010 I. Bouarar et al. https://doi.org/10.1016/j.atmosenv.2018.10.043
158. The Role of Physical Parameterization Schemes in Capturing the Characteristics of Extratropical Cyclones Over the South Pacific Ocean M. Gómez et al. https://doi.org/10.1029/2021EA001744
159. 对流夹卷和地形拖曳对青藏高原降水影响的综合效应 君. 李 et al. https://doi.org/10.1360/SSTe-2024-0356
160. Hydrometeor and Latent Heat Nudging for Radar Reflectivity Assimilation: Response to the Model States and Uncertainties Z. Huo et al. https://doi.org/10.3390/rs13193821
161. Cross-evaluating WRF-Chem v4.1.2, TROPOMI, APEX, and in situ NO2 measurements over Antwerp, Belgium C. Poraicu et al. https://doi.org/10.5194/gmd-16-479-2023
162. Instant and delayed effects of March biomass burning aerosols over the Indochina Peninsula A. Zhu et al. https://doi.org/10.5194/acp-22-15425-2022
163. Influence of forest fire episodes on the distribution of gaseous air pollutants over Uttarakhand, India Y. Yarragunta et al. https://doi.org/10.1080/15481603.2020.1712100
164. Hunga Tonga–Hunga Ha′apai Volcano Impact Model Observation Comparison (HTHH-MOC) project: experiment protocol and model descriptions Y. Zhu et al. https://doi.org/10.5194/gmd-18-5487-2025
165. Impacts of physical parameterization schemes and model resolution on typhoon rainfall simulation with a variable-resolution global model J. Zhu et al. https://doi.org/10.1007/s11707-024-1134-x
166. Ensemble‐based monthly to seasonal precipitation forecasting for Iran using a regional weather model M. Najafi & V. Kuchak https://doi.org/10.1002/joc.8586
167. Effects of vertical shear on intensification of tropical cyclones of different initial sizes M. Bi et al. https://doi.org/10.3389/feart.2023.1106204
168. Direct radiative forcing potential of spring dust aerosol changes driven by land use and land cover change in Northern China W. Yan et al. https://doi.org/10.1007/s00382-025-07930-2
169. A Parameterization for Cloud Organization and Propagation by Evaporation‐Driven Cold Pool Edges S. Freitas et al. https://doi.org/10.1029/2023MS003982
170. Assessment of MPAS variable resolution simulations in the grey-zone of convection against WRF model results and observations M. Kramer et al. https://doi.org/10.1007/s00382-018-4562-z
171. Comparison and Evaluation of Statistical Rainfall Disaggregation and High-Resolution Dynamical Downscaling over Complex Terrain B. Poschlod et al. https://doi.org/10.1175/JHM-D-18-0132.1
172. Closing the gap between wind energy targets and implementation for emerging countries P. Giani et al. https://doi.org/10.1016/j.apenergy.2020.115085
173. WRF Model Simulations of the Influence of the Athabasca Oil Sands Development on Convective Storms D. Brown & G. Reuter https://doi.org/10.1175/EI-D-17-0013.1
174. Droughts in Germany: performance of regional climate models in reproducing observed characteristics D. Petrovic et al. https://doi.org/10.5194/nhess-22-3875-2022
175. High-resolution fire danger forecast for Poland based on the Weather Research and Forecasting Model A. Mandal et al. https://doi.org/10.1071/WF21106
176. A Performance Comparison between Multiphysics and Stochastic Approaches within a North American RAP Ensemble I. Jankov et al. https://doi.org/10.1175/MWR-D-16-0160.1
177. Simulation and Analysis of Mesoscale Convective Systems (MCSs) Leading to a Severe Flood Over Iran M. Ahmadloo et al. https://doi.org/10.1007/s00024-022-02983-4
178. Impacts of land-surface heterogeneities and Amazonian deforestation on the wet season onset in southern Amazon J. Sierra et al. https://doi.org/10.1007/s00382-023-06835-2
179. Forecast of convective events via hybrid model: WRF and machine learning algorithms Y. Uchôa da Silva et al. https://doi.org/10.1016/j.acags.2022.100099
180. Benchmarking GOCART-2G in the Goddard Earth Observing System (GEOS) A. Collow et al. https://doi.org/10.5194/gmd-17-1443-2024
181. Verification by Multiple Methods of Precipitation Forecast from HDRFFGS and SisPI Tools during the Impact of the Tropical Storm Isaias over the Dominican Republic M. Sierra-Lorenzo et al. https://doi.org/10.3390/atmos13030495
182. Modeling study of biomass burning plumes and their impact on urban air quality; a case study of Santiago de Chile G. Cuchiara et al. https://doi.org/10.1016/j.atmosenv.2017.07.002
183. Sensitivity of hurricane track to cumulus parameterization schemes in the WRF model for three intense tropical cyclones: impact of convective asymmetry T. Shepherd & K. Walsh https://doi.org/10.1007/s00703-016-0472-y
184. WRF-GC (v1.0): online coupling of WRF (v3.9.1.1) and GEOS-Chem (v12.2.1) for regional atmospheric chemistry modeling – Part 1: Description of the one-way model H. Lin et al. https://doi.org/10.5194/gmd-13-3241-2020
185. Source attribution of carbon monoxide over Northern India during crop residue burning period over Punjab A. Sharma et al. https://doi.org/10.1016/j.envpol.2024.124707
186. 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
187. High resolution WRF climatic simulations for the Iberian Peninsula: Model validation M. Marta-Almeida et al. https://doi.org/10.1016/j.pce.2016.03.010
188. Improvement of PM2.5 and O3 forecasting by integration of 3D numerical simulation with deep learning techniques H. Sun et al. https://doi.org/10.1016/j.scs.2021.103372
189. Simulation of an anomalously high wind gust event in São Paulo: A comparison of the MPAS-A and WRF models R. Yossimar et al. https://doi.org/10.1007/s00704-026-06537-9
190. Bulk cloud microphysical properties as seen from numerical simulation and remote sensing products: case study of a hailstorm event over the La Plata Basin A. Vara-Vela et al. https://doi.org/10.1071/ES23006
191. Quantifying the direction and distance characteristics of regional transport contribution to achieve joint emission controls of PM2.5 and O3 in Hefei K. Gong et al. https://doi.org/10.1016/j.apr.2025.102731
192. The first multi-model ensemble of regional climate simulations at kilometer-scale resolution, part I: evaluation of precipitation N. Ban et al. https://doi.org/10.1007/s00382-021-05708-w
193. Ocean-Land Atmosphere Model (OLAM) performance for major extreme meteorological events near the coastal region of southern Brazil D. de Souza & R. Ramos da Silva https://doi.org/10.3354/cr01651
194. Enhancing multi-mode transport emission inventories: Combining open-source data with traditional approaches D. Lopes et al. https://doi.org/10.1016/j.uclim.2024.102097
195. Convection Initiation Caused by Heterogeneous Low-Level Jets over the Great Plains J. Gebauer et al. https://doi.org/10.1175/MWR-D-18-0002.1
196. WRF-Chem model sensitivity to chemical mechanisms choice in reconstructing aerosol optical properties A. Balzarini et al. https://doi.org/10.1016/j.atmosenv.2014.12.033
197. Spatiotemporal distribution of air pollutants during a heat wave–induced forest fire event in Uttarakhand A. Sharma et al. https://doi.org/10.1007/s11356-023-29906-7
198. Influence of Dust Aerosol on Temperature Field and Boundary Layer During a Typical Dust Storm Event in China C. Sun et al. https://doi.org/10.3390/rs18162656
199. An Evaluation of Paired Regional/Convection-Allowing Forecast Vertical Thermodynamic Profiles in Warm-Season, Thunderstorm-Supporting Environments C. Evans et al. https://doi.org/10.1175/WAF-D-18-0124.1
200. Modulating meteorological effects and optimization strategies of irrigation during compound drought-heatwave event in various oasis ecosystems of Northwest China W. Li et al. https://doi.org/10.1016/j.agwat.2026.110589
201. Changes in Stratospheric Climate and Age‐Of‐Air in Recent GEOS Systems Since MERRA‐2 C. Orbe et al. https://doi.org/10.1029/2024MS004442
202. Impact of Particulate Matter-Centric Clean Air Action Plans on Ozone Concentrations in India M. Gupta et al. https://doi.org/10.1021/acsearthspacechem.2c00397
203. Expected health benefits from mitigation of emissions from major anthropogenic PM2.5 sources in India: Statistics at state level A. Upadhyay et al. https://doi.org/10.1016/j.envpol.2018.07.085
204. Analysis of surface ozone episodes using WRF-HYSPLIT model at Biga Peninsula in the Marmara region of Turkey D. Sari et al. https://doi.org/10.1016/j.apr.2020.09.018
205. Improved Severe Weather Forecasts Using LEO and GEO Satellite Soundings W. Smith et al. https://doi.org/10.1175/JTECH-D-19-0158.1
206. Short-term wind forecast of a data assimilation/weather forecasting system with wind turbine anemometer measurement assimilation W. Cheng et al. https://doi.org/10.1016/j.renene.2017.02.014
207. A super dust storm enhanced by radiative feedback Y. Chen et al. https://doi.org/10.1038/s41612-023-00418-y
208. Assimilating FY-4A AGRI Radiances with a Channel-Sensitive Cloud Detection Scheme for the Analysis and Forecasting of Multiple Typhoons F. Shen et al. https://doi.org/10.1007/s00376-023-3072-z
209. A parameterization scheme for the floating wind farm in a coupled atmosphere–wave model (COAWST v3.7) S. Deng et al. https://doi.org/10.5194/gmd-17-4891-2024
210. Additional insights from convection-permitting scale ensembles in simulating spatiotemporal features of precipitation across the complex terrain of Peninsular India S. Kirthiga et al. https://doi.org/10.1007/s00382-024-07296-x
211. WRF-Chem modeling study of heat wave driven ozone over southeast region, India P. Gupta et al. https://doi.org/10.1016/j.envpol.2023.122744
212. Investigating the spatio–temporal characteristics of lower atmospheric ducts across the China seas by performing a long–term simulation using the WRF model Q. Liu et al. https://doi.org/10.3389/fmars.2024.1332805
213. Estimation of hourly All-Weather land surface temperature in an area with frequent clouds based on satellite passive microwave remote sensing and data assimilation Y. Hou et al. https://doi.org/10.1016/j.isprsjprs.2026.08.004
214. Modeling of the Effects of Wintertime Aerosols on Boundary Layer Properties Over the Indo Gangetic Plain C. Bharali et al. https://doi.org/10.1029/2018JD029758
215. The Impact of an Oceanic Mesoscale Anticyclonic Eddy in the East China Sea on the Tropical Cyclone Yagi (2018) J. Sun et al. https://doi.org/10.3390/atmos15010081
216. Towards Ensemble-Based Kilometer-Scale Climate Simulations over the Third Pole Region A. Prein et al. https://doi.org/10.1007/s00382-022-06543-3
217. Water conservation benefits of urban heat mitigation P. Vahmani & A. Jones https://doi.org/10.1038/s41467-017-01346-1
218. Evaluation of Parameterized Convective Transport of Trace Gases in Simulation of Storms Observed During the DC3 Field Campaign Y. Li et al. https://doi.org/10.1029/2018JD028779
219. Interacting implications of climate change, population dynamics, and urban heat mitigation for future exposure to heat extremes P. Vahmani et al. https://doi.org/10.1088/1748-9326/ab28b0
220. A Multi-Platform Hydrometeorological Analysis of the Flash Flood Event of 15 November 2017 in Attica, Greece G. Varlas et al. https://doi.org/10.3390/rs11010045
221. Rainfall Simulations of High-Impact Weather in South Africa with the Conformal Cubic Atmospheric Model (CCAM) M. Bopape et al. https://doi.org/10.3390/atmos13121987
222. The influence of complex terrain on cloud and precipitation on the foot and slope of the southeastern Tibetan Plateau J. Li et al. https://doi.org/10.1007/s00382-023-07056-3
223. Establishing PM2.5 conversion factors for South Korea at provincial level J. Madalipay et al. https://doi.org/10.1016/j.apr.2026.103171
224. WRF-GC (v2.0): online two-way coupling of WRF (v3.9.1.1) and GEOS-Chem (v12.7.2) for modeling regional atmospheric chemistry–meteorology interactions X. Feng et al. https://doi.org/10.5194/gmd-14-3741-2021
225. Integrating COAWST and OpenFAST for wind turbine loading A. Vemuri et al. https://doi.org/10.1088/1742-6596/2767/5/052032
226. Impact of Time Step Size on Different Cumulus Parameterization Schemes in the Numerical Simulation of a Heavy Rainfall Event Over Tamil Nadu, India K. Singh et al. https://doi.org/10.1007/s00024-021-02896-8
227. Evaluating the Performance of Land Surface Models and Microphysics Schemes on Simulation of an Extreme Rainfall Event in Tanzania Using the Weather Research and Forecasting Model D. Mwageni et al. https://doi.org/10.4236/acs.2025.151003
228. MESMAR v1: a new regional coupled climate model for downscaling, predictability, and data assimilation studies in the Mediterranean region A. Storto et al. https://doi.org/10.5194/gmd-16-4811-2023
229. Assessment of WRF microphysics and cumulus parameterizations in simulating heavy rainfall events over Badulu Oya catchment, Sri Lanka P. Gimhan et al. https://doi.org/10.2166/wcc.2022.371
230. Improving dust aerosol simulation over northern China: Synergy of updated numerical models and machine learning post-processing T. Sha et al. https://doi.org/10.1016/j.atmosenv.2026.122098
231. Response of the WRF model to different resolutions in the rainfall forecast over the complex Peruvian orography A. Moya-Álvarez et al. https://doi.org/10.1007/s00704-019-02782-3
232. The role of aerosol–radiation–cloud interactions in linking anthropogenic pollution over southern west Africa and dust emission over the Sahara L. Menut et al. https://doi.org/10.5194/acp-19-14657-2019
233. Statistics of the Subgrid Cloud of an Idealized Tropical Cyclone at Convection‐Permitting Resolution X. Zhang et al. https://doi.org/10.1029/2022MS003534
234. Quantitative Assessment of State-Dependent Atmospheric Motion Vector Uncertainties D. Posselt et al. https://doi.org/10.1175/JAMC-D-19-0166.1
235. Can aerosols improve urban flood forecasting? A case study of 2015 Chennai extreme event O. Paul et al. https://doi.org/10.5194/nhess-26-3749-2026
236. Revealing Bias of Cloud Radiative Effect in WRF Simulation: Bias Quantification and Source Attribution Y. Shan et al. https://doi.org/10.1029/2021JD036319
237. Investigation of Spatial and Temporal Wind-Speed Variability During Open Cellular Convection with the Model for Prediction Across Scales in Comparison with Measurements M. Imberger et al. https://doi.org/10.1007/s10546-020-00591-0
238. Impact of Parameterized Topographic Drag on a Simulated Northeast China Cold Vortex X. Xu et al. https://doi.org/10.1029/2022JD037664
239. Assessment of regional carbon monoxide simulations over Africa and insights into source attribution and regional transport R. Kumar et al. https://doi.org/10.1016/j.atmosenv.2022.119075
240. Precipitation Forecast Experiments Using the Weather Research and Forecasting (WRF) Model at Gray-Zone Resolutions J. Han & S. Hong https://doi.org/10.1175/WAF-D-18-0026.1
241. Atmospheric Impacts of Oil Well Blowouts: A Synergistic Assessment Using Satellite Remote Sensing and WRF-Chem Modeling J. Biswas et al. https://doi.org/10.1007/s12524-025-02341-6
242. City-Scale Building Anthropogenic Heating during Heat Waves X. Luo et al. https://doi.org/10.3390/atmos11111206
243. Sensitivity of Pollutant Concentrations to the Turbulence Schemes of a Dispersion Modelling Chain over Complex Orography A. Bellini et al. https://doi.org/10.3390/atmos13020167
244. 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
245. On the importance of the model representation of organic aerosol in simulations of the direct radiative effect of Siberian biomass burning aerosol in the eastern Arctic I. Konovalov et al. https://doi.org/10.1016/j.atmosenv.2023.119910
246. Significance of anthropogenic black carbon in modulating atmospheric and cloud properties through aerosol-radiation interaction during a winter-time fog-haze A. Sarkar & J. Panda https://doi.org/10.1016/j.atmosenv.2024.120720
247. Improved simulations of biomass burning aerosol optical properties and lifetimes in the NASA GEOS Model during the ORACLES-I campaign S. Das et al. https://doi.org/10.5194/acp-24-4421-2024
248. A multi-physics ensemble approach for short-term precipitation forecasts at convective permitting scales based on sensitivity experiments over southern parts of peninsular India S. Kirthiga et al. https://doi.org/10.1007/s12040-021-01556-8
249. The “urban meteorology island”: a multi-model ensemble analysis J. Karlický et al. https://doi.org/10.5194/acp-20-15061-2020
250. Dependence of Convective Cloud Properties and Their Transport on Cloud Fraction and GCM Resolution Diagnosed from a Cloud-Resolving Model Simulation Z. Zhang & G. Zhang https://doi.org/10.3390/jmse10091318
251. Mongolia dust transport across borders under the background of global warming Y. Zhang et al. https://doi.org/10.1016/j.gloplacha.2024.104509
252. A Single-Column Model Evaluation of Mixing Length Formulations and Constraints for the sa-TKE-EDMF Planetary Boundary Layer Parameterization E. Strobach https://doi.org/10.1175/WAF-D-21-0059.1
253. Confronting the Convective Gray Zone in the Global Configuration of the Met Office Unified Model L. Tomassini et al. https://doi.org/10.1029/2022MS003418
254. How Does the Air‐Sea Coupling Frequency Affect Convection During the MJO Passage? N. Zhao & T. Nasuno https://doi.org/10.1029/2020MS002058
255. Assessing the Sensitivity of WRF Model Precipitation Simulation to Cumulus Convection Parameterization Schemes: A Comparative Study of Typhoon Lekima (2019) and Typhoon In-Fa (2021) D. Wang et al. https://doi.org/10.1016/j.tcrr.2026.07.001
256. Urban population exposure forecast system to predict NO2 impact by a building-resolving multi-scale model approach G. Veratti et al. https://doi.org/10.1016/j.atmosenv.2021.118566
257. Integrating WRF forecasts at different scales for pluvial flood forecasting using a rainfall threshold approach and a real-time flood model A. Young et al. https://doi.org/10.1016/j.jhydrol.2025.132891
258. Wet Scavenging in WRF‐Chem Simulations of Parameterized Convection for a Severe Storm During the DC3 Field Campaign Y. Li et al. https://doi.org/10.1029/2019JD030484
259. The turbulent future brings a breath of fresh air C. Stjern et al. https://doi.org/10.1038/s41467-023-39298-4
260. Comprehensive evaluation of iAMAS (v1.0) in simulating Antarctic meteorological fields with observations and reanalysis Q. Yang et al. https://doi.org/10.5194/gmd-18-5373-2025
261. Composite Analysis of Aerosol Direct Radiative Effects on Meteorology During Wintertime Severe Haze Events in the North China Plain Y. Gao et al. https://doi.org/10.1029/2022JD036902
262. Multi‐Grid Nesting Ability to Represent Convections Across the Gray Zone X. Liang et al. https://doi.org/10.1029/2019MS001741
263. Impact of the hybrid gain ensemble data assimilation on meso-scale numerical weather prediction over east China Y. Wang et al. https://doi.org/10.1016/j.atmosres.2018.02.014
264. A radar reflectivity data assimilation method based on background-dependent hydrometeor retrieval: An observing system simulation experiment H. Chen et al. https://doi.org/10.1016/j.atmosres.2020.105022
265. Effects of Density Current, Diurnal Heating, and Local Terrain on the Mesoscale Environment Conducive to the Yarnell Hill Fire J. Ising et al. https://doi.org/10.3390/atmos13020215
266. The role of wildfire emissions on extreme fire weather during Australia’s Black Summer through smoke-weather feedbacks J. Luo et al. https://doi.org/10.1186/s42408-026-00494-4
267. Investigating the Temporal and Spatial Characteristics of Lower Atmospheric Ducts in the Arctic via Long-Term Numerical Simulations J. Wang et al. https://doi.org/10.3390/atmos16010011
268. Long‐Term Impact of Urban Areas on Meteorological Conditions Over Central Europe A. Villalba‐Pradas et al. https://doi.org/10.1111/nyas.70069
269. Data fusion for fine-scale ozone mapping in the New York City metropolitan area using low-cost sensors and model information E. Hojeily et al. https://doi.org/10.1016/j.atmosenv.2026.121805
270. Impacts of atmospheric circulation patterns and cloud inhibition on aerosol radiative effect and boundary layer structure during winter air pollution in Sichuan Basin, China H. Lu et al. https://doi.org/10.5194/acp-24-8963-2024
271. Impact of dynamical and microphysical schemes on black carbon prediction in a regional climate model over India R. Srivastava & S. Bran https://doi.org/10.1007/s11356-018-1607-0
272. Snow cover prediction in the Italian central Apennines using weather forecast and land surface numerical models E. Raparelli et al. https://doi.org/10.5194/tc-17-519-2023
273. Impacts of Aerosol and Environmental Conditions on Maritime and Continental Deep Convective Systems Using a Bin Microphysical Model T. Iguchi et al. https://doi.org/10.1029/2019JD030952
274. Sensitivity of U.S. summer precipitation to model resolution and convective parameterizations across gray zone resolutions Y. Gao et al. https://doi.org/10.1002/2016JD025896
275. Development and application of a hybrid long-short term memory – three dimensional variational technique for the improvement of PM2.5 forecasting X. Lu et al. https://doi.org/10.1016/j.scitotenv.2020.144221
276. The Impact of Meteorology and Emissions on Surface Ozone in Shandong Province, China, during Summer 2014–2019 H. Wang et al. https://doi.org/10.3390/ijerph19116758
277. Aerosol-induced intensification of cooling effect of clouds during Indian summer monsoon C. Sarangi et al. https://doi.org/10.1038/s41467-018-06015-5
278. Climate Models Permit Convection at Much Coarser Resolutions Than Previously Considered J. Vergara-Temprado et al. https://doi.org/10.1175/JCLI-D-19-0286.1
279. Numerical Investigation of Track and Intensity Evolution of Typhoon Doksuri (2023) D. Vu et al. https://doi.org/10.3390/atmos15091105
280. Quantitatively Assessing the Contributions of Dust Aerosols to Direct Radiative Forcing Based on Remote Sensing and Numerical Simulation J. Wang et al. https://doi.org/10.3390/rs14030660
281. Effects of chemical boundary conditions on simulated O3 concentrations in China and their chemical mechanisms G. Li et al. https://doi.org/10.1016/j.scitotenv.2022.159500
282. Insight into ozone profile climatology over northeast China from aircraft measurement and numerical simulation H. Wang et al. https://doi.org/10.1016/j.scitotenv.2021.147308
283. The Short-Term Impacts of the 2017 Portuguese Wildfires on Human Health and Visibility: A Case Study D. Lopes et al. https://doi.org/10.3390/fire7100342
284. The impacts of biomass burning activities on convective systems over the Maritime Continent H. Lee & C. Wang https://doi.org/10.5194/acp-20-2533-2020
285. Strength and Challenges of global model MPAS with regional mesh refinement for mid-latitude storm forecasting: a case study M. Imberger et al. https://doi.org/10.5194/adgeo-56-77-2021
286. WRF v.3.9 sensitivity to land surface model and horizontal resolution changes over North America A. García-García et al. https://doi.org/10.5194/gmd-15-413-2022
287. Improving Clear-Sky Solar Power Prediction over China by Assimilating Himawari-8 Aerosol Optical Depth with WRF-Chem-Solar S. Wang et al. https://doi.org/10.3390/rs14194990
288. Optical Properties and Radiative Forcing Estimations of High-Altitude Aerosol Transport During Saharan Dust Events Based on Laser Remote Sensing Techniques (CLIMPACT Campaign 2021, Greece) A. Papayannis et al. https://doi.org/10.3390/rs17213607
289. Box Model Intercomparison of Cloud Chemistry M. Barth et al. https://doi.org/10.1029/2021JD035486
290. Toward a Stochastic Relaxation for the Quasi‐Equilibrium Theory of Cumulus Parameterization: Multicloud Instability, Multiple Equilibria, and Chaotic Dynamics B. Khouider & E. Leclerc https://doi.org/10.1029/2019MS001627
291. Tropical Cyclones in the Arabian Sea: overview and simulation of winds and storm-induced waves M. Soltanpour et al. https://doi.org/10.1007/s11069-021-04702-z
292. Regional HYSPLIT simulation of atmospheric transport and deposition of the Chernobyl 137Cs releases O. Skrynyk et al. https://doi.org/10.1016/j.apr.2019.09.001
293. Fugitive road dust particulate matter emission inventory for India: A field campaign in 32 Indian cities A. Katiyar et al. https://doi.org/10.1016/j.scitotenv.2023.169232
294. Evaluation of storm surge flooding response to climate warming and sea level rise: A case study of Metro Manila, Philippines Y. Chai et al. https://doi.org/10.1016/j.oceaneng.2026.127378
295. 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
296. Validation of Anthropogenic Emission Inventories in Japan: A WRF-Chem Comparison of PM2.5, SO2, NOx and CO Against Observations K. Tatsumi & N. Diep https://doi.org/10.3390/data10090151
297. Impact of Explicitly Parameterized Mid-to-Low Level Latent Heating on the Simulation of a Squall Line in South China H. Chu et al. https://doi.org/10.3390/w15091743
298. The Multiscale Dynamics of the 29 June 2012 Super Derecho K. Shourd & M. Kaplan https://doi.org/10.3390/cli9110155
299. Lag impacts of the anomalous July soil moisture over Southern China on the August rainfall over the Huang–Huai River Basin X. Dong et al. https://doi.org/10.1007/s00382-021-05989-1
300. Evaluation of physical parameterizations for atmospheric river induced precipitation and application to long-term reconstruction based on three reanalysis datasets in Western Oregon K. Toride et al. https://doi.org/10.1016/j.scitotenv.2018.12.214
301. Parameterization of a WRF Model Based on Microwave Measurements of Temperature Inversion Characteristics in PBL over Moscow City R. Zhuravlev et al. https://doi.org/10.31857/S0002351524010047
302. A hybrid regional climate downscaling for the southern Brazil coastal region D. de Souza et al. https://doi.org/10.1002/joc.7607
303. Modeling the feedback between aerosol and boundary layer processes: a case study in Beijing, China Y. Miao et al. https://doi.org/10.1007/s11356-015-5562-8
304. Impact of Wildfires on Meteorology and Air Quality (PM2.5 and O3) over Western United States during September 2017 A. Sharma et al. https://doi.org/10.3390/atmos13020262
305. Modelling aerosol–cloud–meteorology interaction: A case study with a fully coupled air quality model (GEM-MACH) W. Gong et al. https://doi.org/10.1016/j.atmosenv.2015.05.062
306. Exploiting Tropospheric Measurements From Sun-Tracking Radiometer for Radiopropagation Models at Centimeter and Millimeter Wave M. Biscarini et al. https://doi.org/10.1109/JSTARS.2019.2916372
307. The value of assimilating different ground-based profiling networks on the forecasts of bore-generating nocturnal convection H. Chipilski et al. https://doi.org/10.1175/MWR-D-21-0193.1
308. Assessing the levels of regulated metals in an urban area: A modelling and experimental approach D. Lopes et al. https://doi.org/10.1016/j.atmosenv.2022.119366
309. Accelerating atmospheric physics parameterizations using graphics processing units D. Abdi & I. Jankov https://doi.org/10.1177/10943420241238711
310. Updates in the NCEP GFS Cumulus Convection Schemes with Scale and Aerosol Awareness J. Han et al. https://doi.org/10.1175/WAF-D-17-0046.1
311. Simulation of a Dust‐And‐Rain Event Across the Red Sea Using WRF‐Chem S. Parajuli et al. https://doi.org/10.1029/2022JD038384
312. A Lagrangian View of Moisture Transport Related to the Heavy Rainfall of July 2020 in Japan: Importance of the Moistening Over the Subtropical Regions N. Zhao et al. https://doi.org/10.1029/2020GL091441
313. 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
314. Modeling extreme precipitation over East China with a global variable-resolution modeling framework (MPASv5.2): impacts of resolution and physics C. Zhao et al. https://doi.org/10.5194/gmd-12-2707-2019
315. Investigation of Atmospheric Boundary Layer Dynamics Over the Himalayan Foothill Region: Insights from Ground-Based LiDAR Observations and WRF Model S. Srivastava et al. https://doi.org/10.1007/s12524-025-02400-y
316. Evaluation of MJO Predictive Skill in Multiphysics and Multimodel Global Ensembles B. Green et al. https://doi.org/10.1175/MWR-D-16-0419.1
317. Reimagine fire science for the anthropocene J. Shuman et al. https://doi.org/10.1093/pnasnexus/pgac115
318. Investigating ground-level ozone pollution in semi-arid and arid regions of Arizona using WRF-Chem v4.4 modeling Y. Guo et al. https://doi.org/10.5194/gmd-17-4331-2024
319. Study of Urban Heat Islands Using Different Urban Canopy Models and Identification Methods R. Silva et al. https://doi.org/10.3390/atmos12040521
320. Characterizing the distinct modulation of future emissions on summer ozone concentrations between urban and rural areas over China X. Zeng et al. https://doi.org/10.1016/j.scitotenv.2022.153324
321. Enhancing Accuracy of Air Quality and Temperature Forecasts During Paddy Crop Residue Burning Season in Delhi Via Chemical Data Assimilation R. Kumar et al. https://doi.org/10.1029/2020JD033019
322. Description and Evaluation of the Fine Particulate Matter Forecasts in the NCAR Regional Air Quality Forecasting System R. Kumar et al. https://doi.org/10.3390/atmos12030302
323. Simulating Atmospheric Dust With a Global Variable‐Resolution Model: Model Description and Impacts of Mesh Refinement J. Feng et al. https://doi.org/10.1029/2023MS003636
324. Investigating the impact of atmosphere–wave–ocean interactions on a Mediterranean tropical-like cyclone G. Varlas et al. https://doi.org/10.1016/j.ocemod.2020.101675
325. Simulation of Atmospheric Microbursts Using a Numerical Mesoscale Model at High Spatiotemporal Resolution P. Bolgiani et al. https://doi.org/10.1029/2019JD031791
326. Sensitivity of meteorological-forcing resolution on hydrologic variables F. Maina et al. https://doi.org/10.5194/hess-24-3451-2020
327. Data Assimilation Using WRFDA Over the Terminal Area of Rio de Janeiro V. Almeida et al. https://doi.org/10.1590/0102-77863610001
328. Multi-Model Simulations of a Mediterranean Extreme Event: The Impact of Mineral Dust on the VAIA Storm T. Landi et al. https://doi.org/10.3390/atmos16060745
329. Impacts of the Diurnal Radiation Cycle on the Formation, Intensity, and Structure of Hurricane Edouard (2014) X. Tang & F. Zhang https://doi.org/10.1175/JAS-D-15-0283.1
330. Dominant role of mineral dust in cirrus cloud formation revealed by global-scale measurements K. Froyd et al. https://doi.org/10.1038/s41561-022-00901-w
331. Modeling Study of the Air Quality Impact of Record‐Breaking Southern California Wildfires in December 2017 H. Shi et al. https://doi.org/10.1029/2019JD030472
332. Performance Evaluation of TGFS Typhoon Track Forecasts over the Western North Pacific with Sensitivity Tests on Cumulus Parameterization Y. Chen et al. https://doi.org/10.3390/atmos15091075
333. Sensitivity of tropical cyclone intensity projections to longwave radiation Y. Dai et al. https://doi.org/10.1007/s00382-025-07729-1
334. High-resolution modeling of gaseous methylamines over a polluted region in China: source-dependent emissions and implications of spatial variations J. Mao et al. https://doi.org/10.5194/acp-18-7933-2018
335. Comparative assessment of WRF-simulated raindrop size distribution using disdrometer observations in Varanasi S. Maurya & P. Soni https://doi.org/10.1007/s00704-026-06134-w
336. Sensitivity of Forecast Uncertainty to Different Microphysics Schemes within a Convection-Allowing Ensemble during SoWMEX-IOP8 C. Chen et al. https://doi.org/10.1175/MWR-D-20-0366.1
337. Variability of West African monsoon patterns generated by a WRF multi-physics ensemble C. Klein et al. https://doi.org/10.1007/s00382-015-2505-5
338. Role of convection representation across the gray zone in forecasting warm season extreme precipitation over Shanghai from two typical cases R. Wang et al. https://doi.org/10.1016/j.atmosres.2020.105370
339. Evaluating WRF simulated temperature uncertainties across Northern Hemisphere climate zones with different land surface models and land cover datasets B. Wang et al. https://doi.org/10.1016/j.atmosres.2026.108897
340. 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
341. The added value of convection permitting simulations of extreme precipitation events over the eastern Mediterranean G. Zittis et al. https://doi.org/10.1016/j.atmosres.2017.03.002
342. Validation of gas phase chemistry in the WRF-Chem model over Europe J. Karlický et al. https://doi.org/10.5194/asr-14-181-2017
343. Study on the Sensitivity of Initial Perturbations to the Development of a Vortex Observed in Southwest China G. Chen et al. https://doi.org/10.1029/2021JD034715
344. Developing spin-up time framework for WRF extreme precipitation simulations Y. Liu et al. https://doi.org/10.1016/j.jhydrol.2023.129443
345. The Remote Effect of Typhoon Megi (2010) on the Heavy Rainfall over Northeastern Taiwan T. Chen & C. Wu https://doi.org/10.1175/MWR-D-15-0269.1
346. Critical load exceedances for North America and Europe using an ensemble of models and an investigation of causes of environmental impact estimate variability: an AQMEII4 study P. Makar et al. https://doi.org/10.5194/acp-25-3049-2025
347. Evaluation of Biogenic Organic Aerosols in the Amazon Rainforest Using WRF‐Chem With MOSAIC J. Mao et al. https://doi.org/10.1029/2021JD034913
348. The Robust Relationship Between Extreme Precipitation and Convective Organization in Idealized Numerical Modeling Simulations J. Bao et al. https://doi.org/10.1002/2017MS001125
349. Added value of a priori bias correction for dynamical downscaling - A case study of Coastal British Columbia D. Hingmire et al. https://doi.org/10.1371/journal.pclm.0000717
350. Evaluation of the ALARO1-SFX (CY43T2) regional climate model over Belgium across different resolutions W. Dewettinck et al. https://doi.org/10.5194/gmd-19-7911-2026
351. Aerosol–radiation interaction modelling using online coupling between the WRF 3.7.1 meteorological model and the CHIMERE 2016 chemistry-transport model, through the OASIS3-MCT coupler R. Briant et al. https://doi.org/10.5194/gmd-10-927-2017
352. Beyond quadratic error: Case-study of a multiple criteria approach to the performance assessment of numerical forecasts of solar irradiance in the tropics H. Verbois et al. https://doi.org/10.1016/j.rser.2019.109471
353. Incorporating geostationary lightning data into a radar reflectivity based hydrometeor retrieval method: An observing system simulation experiment H. Wang et al. https://doi.org/10.1016/j.atmosres.2018.03.002
354. Numerical rainfall simulation with different spatial and temporal evenness by using a WRF multiphysics ensemble J. Tian et al. https://doi.org/10.5194/nhess-17-563-2017
355. Investigating sea‐state effects on flash flood hydrograph and inundation forecasting G. Papaioannou et al. https://doi.org/10.1002/hyp.14151
356. Roles of deep and shallow convection and microphysics in the MJO simulated by the Model for Prediction Across Scales R. Pilon et al. https://doi.org/10.1002/2015JD024697
357. Impacts of physical parameterization on prediction of ethane concentrations for oil and gas emissions in WRF-Chem M. Abdi-Oskouei et al. https://doi.org/10.5194/acp-18-16863-2018
358. Far-field biogenic and anthropogenic emissions as a dominant source of variability in local urban carbon budgets: A global high-resolution model study with implications for satellite remote sensing A. Schuh et al. https://doi.org/10.1016/j.rse.2021.112473
359. Regional water cycle sensitivity to afforestation: synthetic numerical experiments for tropical Africa J. Arnault et al. https://doi.org/10.3389/fclim.2023.1233536
360. Impacts of biogenic emissions from urban landscapes on summer ozone and secondary organic aerosol formation in megacities Y. Gao et al. https://doi.org/10.1016/j.scitotenv.2021.152654
361. Characteristics of clouds, precipitation, and latent heat in midlatitude frontal system mixed with dust storm from GPM satellite observations and WRF simulations R. Zhou et al. https://doi.org/10.52396/JUSTC-2021-0238
362. Design of a Forest Fire Early Alert System through a Deep 3D-CNN Structure and a WRF-CNN Bias Correction A. Casallas et al. https://doi.org/10.3390/s22228790
363. How does urban morphology impact cities air quality? A modelling study B. Augusto et al. https://doi.org/10.1016/j.scitotenv.2025.179138
364. A Two-Season Impact Study of Radiative Forced Tropospheric Response to Stratospheric Initial Conditions Inferred From Satellite Radiance Assimilation M. Shao et al. https://doi.org/10.3390/cli7090114
365. Sensitivity of CONUS Summer Rainfall to the Selection of Cumulus Parameterization Schemes in NU-WRF Seasonal Simulations T. Iguchi et al. https://doi.org/10.1175/JHM-D-16-0120.1
366. Can Landuse Landcover changes influence the success of India's national clean air plans ? D. Nayak et al. https://doi.org/10.1016/j.aeaoa.2024.100251
367. A lesson in preparedness: assessing the effectiveness of low-cost post-wildfire flood protection measures for the catastrophic flood in Kineta, Greece G. Papaioannou et al. https://doi.org/10.5194/hess-30-1487-2026
368. FY-3A Microwave Data Assimilation Based on the POD-4DEnVar Method M. Zhang et al. https://doi.org/10.3390/atmos9050189
369. Simulation of contrasting impacts of dust ice-nucleating particles on the evolution and radiative effects of mixed-phase and ice clouds H. Zhang et al. https://doi.org/10.5194/acp-26-12329-2026
370. Satellite observations reveal extreme methane leakage from a natural gas well blowout S. Pandey et al. https://doi.org/10.1073/pnas.1908712116
371. A Numerical Simulation Study of Strong Wind Events at Jangbogo Station, Antarctica H. Kwon et al. https://doi.org/10.14191/Atmos.2016.26.4.617
372. Evaluation of a new internally-mixed aerosol optics scheme in the weather research and forecasting model Z. Wang et al. https://doi.org/10.1016/j.jqsrt.2022.108147
373. Why Does Convection Weaken over Sumatra Island in an Active Phase of the MJO? N. Zhao et al. https://doi.org/10.1175/MWR-D-21-0251.1
374. Probing into the wintertime meteorology and particulate matter (PM2.5 and PM10) forecast over Delhi A. Sengupta et al. https://doi.org/10.1016/j.apr.2022.101426
375. A 5 km Resolution Regional Climate Simulation for Central Europe: Performance in High Mountain Areas and Seasonal, Regional and Elevation-Dependent Variations M. Warscher et al. https://doi.org/10.3390/atmos10110682
376. Seasonal Arctic Sea Ice Prediction Using a Newly Developed Fully Coupled Regional Model With the Assimilation of Satellite Sea Ice Observations C. Yang et al. https://doi.org/10.1029/2019MS001938
377. Extreme rainfall events in the Rio de Janeiro city (Brazil): description and a numerical sensitivity case study F. da Silva et al. https://doi.org/10.1007/s00703-022-00909-2
378. Quantifying the sensitivity of aerosol optical properties to the parameterizations of physico-chemical processes during the 2010 Russian wildfires and heatwave L. Palacios-Peña et al. https://doi.org/10.5194/acp-20-9679-2020
379. Extremely High Concentrations of Ice Particles in East Asian Dust‐Infused Baroclinic Storm (DIBS) Cirrus Shield: Dominant Role of Dust Ice Nucleation Effect Y. Zeng et al. https://doi.org/10.1029/2022JD038034
380. The Synoptic Impacts on the Convection Initiation of a Warm‐Sector Heavy Rainfall Event Over Coastal South China Prior to the Monsoon Onset: A Numerical Modeling Study X. Bao et al. https://doi.org/10.1029/2020JD034335
381. Impact of boundary layer parameterizations on simulated seasonal meteorology over North-East India N. Barman et al. https://doi.org/10.1016/j.dynatmoce.2024.101505
382. Impacts of Virtual Train-based Atmospheric Vertical Profile Data Assimilation on the Forecast of the “21.7” Zhengzhou Rainstorm X. CHENG et al. https://doi.org/10.3724/j.1006-8775.2025.002
383. The Influence of Bare Ground Thermal Roughness Length Parameterization on the Simulation of Near‐Surface Air and Skin Temperatures Over the Tibetan Plateau X. Zhou et al. https://doi.org/10.1029/2022JD037245
384. WRF Precipitation Performance and Predictability for Systematically Varied Parameterizations over Complex Terrain J. Jeworrek et al. https://doi.org/10.1175/WAF-D-20-0195.1
385. Evaluation of Cloud Microphysical Schemes for a Warm Frontal Snowband during the GPM Cold Season Precipitation Experiment (GCPEx) A. Naeger et al. https://doi.org/10.1175/MWR-D-17-0081.1
386. An evaluation of the photochemical air quality modeling using CMAQ in the industrial area of Quintero-Puchuncavi-Concon, Chile E. Pino-Cortés et al. https://doi.org/10.1016/j.apr.2022.101336
387. An improved regional coupled modeling system for Arctic sea ice simulation and prediction: a case study for 2018 C. Yang et al. https://doi.org/10.5194/gmd-15-1155-2022
388. Effect of ride sharing on air quality: evidence from Shenzhen, China Z. Wang et al. https://doi.org/10.1080/15140326.2021.2023421
389. High‐Resolution Modeling of ENSO‐Induced Precipitation in the Tropical Andes: Implications for Proxy Interpretation J. Kiefer & C. Karamperidou https://doi.org/10.1029/2018PA003423
390. Wildfire-smoke-precipitation interactions in Siberia: Insights from a regional model study I. Konovalov et al. https://doi.org/10.1016/j.scitotenv.2024.175518
391. A dynamic ammonia emission model and the online coupling with WRF–Chem (WRF–SoilN–Chem v1.0): development and regional evaluation in China C. Ren et al. https://doi.org/10.5194/gmd-16-1641-2023
392. Potential role of local contributions to record-breaking high-temperature event in Xiamen, China F. Wang & Y. Wang https://doi.org/10.1016/j.wace.2021.100338
393. Sensitivity of aerosol optical properties to the aerosol size distribution over central Europe and the Mediterranean Basin using the WRF-Chem v.3.9.1.1 coupled model L. Palacios-Peña et al. https://doi.org/10.5194/gmd-13-5897-2020
394. Simulation of Heavy Precipitation and the Production of Graupel Related to the Passage of a Cold Front over the Australian Snowy Mountains A. Gevorgyan et al. https://doi.org/10.1175/MWR-D-21-0080.1
395. Impact of assimilation of SCATSAT-1 data on coupled ocean-atmospheric simulations of tropical cyclones over Bay of Bengal V. Kattamanchi et al. https://doi.org/10.1016/j.atmosres.2021.105733
396. Revealing the modulation of boundary conditions and governing processes on ozone formation over northern China in June 2017 F. Yan et al. https://doi.org/10.1016/j.envpol.2020.115999
397. 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
398. Trans-Pacific transport of dust aerosols from East Asia: Insights gained from multiple observations and modeling J. Guo et al. https://doi.org/10.1016/j.envpol.2017.07.062
399. An interactive Web-GIS fluvial flood forecast and alert system in operation in Portugal S. Mourato et al. https://doi.org/10.1016/j.ijdrr.2021.102201
400. A new high‐resolution Meteorological Reanalysis Italian Dataset: MERIDA R. Bonanno et al. https://doi.org/10.1002/qj.3530
401. Crossing Multiple Gray Zones in the Transition from Mesoscale to Microscale Simulation over Complex Terrain F. Chow et al. https://doi.org/10.3390/atmos10050274
402. Identifying wind regimes near Kuwait using self-organizing maps S. Naegele et al. https://doi.org/10.1063/5.0152718
403. A coupled atmospheric–hydrologic modeling system with variable grid sizes for rainfall–runoff simulation in semi-humid and semi-arid watersheds: how does the coupling scale affects the results? J. Tian et al. https://doi.org/10.5194/hess-24-3933-2020
404. The Troposphere-to-Stratosphere Transport Caused by a Rossby Wave Breaking Event over the Tibetan Plateau in Mid-March 2006 J. Zhu et al. https://doi.org/10.3390/rs15010155
405. Convective uplift of pollution from the Sichuan Basin into the Asian monsoon anticyclone during the StratoClim aircraft campaign K. Lee et al. https://doi.org/10.5194/acp-21-3255-2021
406. Data assimilation enhanced WRF simulation of the 2018 Kerala flood: sensitivity to initial conditions, parameterization schemes and extreme rainfall prediction skill F. Rasla et al. https://doi.org/10.1007/s00704-026-06325-5
407. A stochastic scale‐aware parameterization of shallow cumulus convection across the convective gray zone M. Sakradzija et al. https://doi.org/10.1002/2016MS000634
408. Evaluation of three mainstream numerical weather prediction models with observations from meteorological mast IJmuiden at the North Sea P. Kalverla et al. https://doi.org/10.1002/we.2267
409. High-resolution regional climate modeling over Myanmar using WRF: Historical validation and future projections under different shared socioeconomic pathways M. Messmer et al. https://doi.org/10.1371/journal.pclm.0000820
410. Evaluating reanalysis-driven CORDEX regional climate models over Australia: model performance and errors G. Di Virgilio et al. https://doi.org/10.1007/s00382-019-04672-w
411. A micro-genetic algorithm (GA v1.7.1a) for combinatorial optimization of physics parameterizations in the Weather Research and Forecasting model (v4.0.3) for quantitative precipitation forecast in Korea S. Park & S. Park https://doi.org/10.5194/gmd-14-6241-2021
412. THE MULTI-SCALE KAIN-FRITSCH CUMULUS SCHEME: SIMULATING TYPHOON-INDUCED HEAVY PRECIPITATION OVER THE PHILIPPINES J. HOKSON et al. https://doi.org/10.2208/jscejer.78.5_I_163
413. Exploring the rainfall data from satellites to monitor rainfall induced landslides – A case study M. Kumar Thakur et al. https://doi.org/10.1016/j.asr.2020.05.015
414. A case study on numerical model predictability of genesis intensification and propagation of pre-monsoon thunderstorms over Bangladesh S. Hossain et al. https://doi.org/10.1016/j.dynatmoce.2026.101672
415. Challenges in simulating the wind over a coastal complex-shaped site: Madeira Island I. Coimbra & J. Palma https://doi.org/10.1088/1742-6596/2767/5/052014
416. Sensitivity of the Size of a TC to Sea Surface Temperatures in Its Outer Region M. Bi & T. Li https://doi.org/10.1007/s13351-023-2185-8
417. A comparative assessment of regional representativeness of EDGAR and ECLIPSE emission inventories for air quality studies in India A. Upadhyay et al. https://doi.org/10.1016/j.atmosenv.2019.117182
418. Regional climate response to land cover change in tropical West Africa: a numerical sensitivity experiment with ESA land cover data and advanced WRF-Hydro E. Mortey et al. https://doi.org/10.3389/frwa.2024.1372333
419. Sequential sensitivity analysis of WRF physics and surface specifications for air quality modeling in a coastal urban domain S. Delbari & V. Hosseini https://doi.org/10.1016/j.atmosres.2026.109093
420. Subseasonal Forecasting with an Icosahedral, Vertically Quasi-Lagrangian Coupled Model. Part I: Model Overview and Evaluation of Systematic Errors S. Sun et al. https://doi.org/10.1175/MWR-D-18-0006.1
421. Aerosols from anthropogenic and biogenic sources and their interactions – modeling aerosol formation, optical properties, and impacts over the central Amazon basin J. Nascimento et al. https://doi.org/10.5194/acp-21-6755-2021
422. Climate SPHINX: evaluating the impact of resolution and stochastic physics parameterisations in the EC-Earth global climate model P. Davini et al. https://doi.org/10.5194/gmd-10-1383-2017
423. Sensitivity analysis of physical parameterizations in WRF for urban climate simulations and heat island mitigation in Montreal Z. Jandaghian et al. https://doi.org/10.1016/j.uclim.2017.10.004
424. Mesoscale Model Simulation of a Severe Summer Thunderstorm in The Netherlands: Performance and Uncertainty Assessment for Parameterised and Resolved Convection G. Steeneveld & E. Peerlings https://doi.org/10.3390/atmos11080811
425. Sensitivity analysis of cumulus and microphysics schemes in the WRF model in simulating Extreme Rainfall Events over the hilly terrain of Nagaland R. Biswasharma et al. https://doi.org/10.1016/j.atmosres.2024.107393
426. Enduring local impact of springtime snow cover over the Third Pole C. Lin et al. https://doi.org/10.1038/s41612-025-01264-w
427. Forecasting severe convective storms with WRF-based RTFDDA radar data assimilation in Guangdong, China Y. Huang et al. https://doi.org/10.1016/j.atmosres.2018.03.010
428. High-Resolution Modeling of Air Quality in Abidjan (Côte d’Ivoire) Using a New Urban-Scale Inventory S. Gnamien et al. https://doi.org/10.3390/atmos15070758
429. Evaluation of accuracy on bottom-up NH3 emissions and sensitivity of PM2.5 to emission control in South Korea K. Han et al. https://doi.org/10.1016/j.atmosenv.2025.121434
430. Empirical values and assumptions in the convection schemes of numerical models A. Villalba-Pradas & F. Tapiador https://doi.org/10.5194/gmd-15-3447-2022
431. Investigating the role of dust in ice nucleation within clouds and further effects on the regional weather system over East Asia – Part 1: model development and validation L. Su & J. Fung https://doi.org/10.5194/acp-18-8707-2018
432. Impact of Cumulus Parameterization on Model Convergence of Tropical Cyclone Destructive Potential Simulation at Grey-Zone Resolutions: A Numerical Investigation C. Ma et al. https://doi.org/10.3390/atmos10020074
433. Progress and Perspective of Convection and Cloud Parameterizations in Numerical Models Y. Wang et al. https://doi.org/10.1007/s13351-025-4911-x
434. Coupled mesoscale–microscale modeling of air quality in a polluted city using WRF-LES-Chem Y. Wang et al. https://doi.org/10.5194/acp-23-5905-2023
435. Impacts of Multi-Source Microwave Satellite Radiance Data Assimilation on the Forecast of Typhoon Ampil A. Shu et al. https://doi.org/10.3390/atmos13091427
436. Formation Process of Particles and Cloud Condensation Nuclei Over the Amazon Rainforest: The Role of Local and Remote New‐Particle Formation B. Zhao et al. https://doi.org/10.1029/2022GL100940
437. Performance evaluation of WRF for extreme flood forecasts in a coastal urban environment P. Patel et al. https://doi.org/10.1016/j.atmosres.2019.03.005
438. Climate change impacts on tropical cyclones of the Arabian Sea: Projections and uncertainty investigations Z. Ranji et al. https://doi.org/10.1002/joc.7523
439. Sensitivity of WRF/Chem simulated PM2.5 to initial/boundary conditions and planetary boundary layer parameterization schemes over the Indo-Gangetic Plain P. Gunwani et al. https://doi.org/10.1007/s10661-023-10987-3
440. Reducing the Cold Bias of the WRF Model Over the Tibetan Plateau by Implementing a Snow Coverage‐Topography Relationship and a Fresh Snow Albedo Scheme X. Zhou et al. https://doi.org/10.1029/2023MS003626
441. Re‐examining the roles of surface heat flux and latent heat release in a “hurricane‐like” polar low over the Barents Sea E. Kolstad et al. https://doi.org/10.1002/2015JD024633
442. Unveiling tropospheric ozone by the traditional atmospheric model and machine learning, and their comparison:A case study in hangzhou, China R. Feng et al. https://doi.org/10.1016/j.envpol.2019.05.101
443. Performance Evaluation of an Operational Rapid Response Fire Spread Forecasting System in the Southeast Mediterranean (Greece) T. Giannaros et al. https://doi.org/10.3390/atmos11111264
444. Characterizing Convection Schemes Using Their Responses to Imposed Tendency Perturbations Y. Hwong et al. https://doi.org/10.1029/2021MS002461
445. A Numerical Study for Tropical Cyclone Atsani (2020) Past Offshore of Southern Taiwan under Topographic Influences C. Huang et al. https://doi.org/10.3390/atmos13040618
446. Assessing the Grell‐Freitas Convection Parameterization in the NASA GEOS Modeling System S. Freitas et al. https://doi.org/10.1029/2017MS001251
447. Evaluation of Mesoscale Convective Systems in Climate Simulations: Methodological Development and Results from MPAS-CAM over the United States Z. Feng et al. https://doi.org/10.1175/JCLI-D-20-0136.1
448. A Case Study on Assessing Cumulonimbus Induced Flight Vulnerabilities Over the Nepalese Himalayan Terrain A. Chandra et al. https://doi.org/10.1007/s00024-020-02541-w
449. Adapting to a Foggy Future Along Trans‐Arctic Shipping Routes S. Song et al. https://doi.org/10.1029/2022GL102395
450. Modelling uncertainty in WRF-based extreme rainfall simulations over India: A review toward integrated atmosphere-chemistry-hydrology frameworks S. Maurya & P. Soni https://doi.org/10.1016/j.atmosres.2026.109152
451. Assimilation of MWHS and MWTS radiance data from the FY-3A satellite with the POD-3DEnVar method for forecasting heavy rainfall M. Zhang et al. https://doi.org/10.1016/j.atmosres.2018.12.023
452. Insights to WRF-Chem sensitivity in a zone of complex terrain in the tropical Andes: Effect of boundary conditions, chemical mechanisms, nesting, and domain configuration F. Cifuentes et al. https://doi.org/10.1016/j.apr.2021.101093
453. Lisbon urban heat island in future urban and climate scenarios R. Silva et al. https://doi.org/10.1016/j.uclim.2022.101218
454. Aerosol influence on the pre-monsoon rainfall mechanisms over North-East India: A WRF-Chem study N. Barman & S. Gokhale https://doi.org/10.1016/j.atmosres.2021.106002
455. Ecoindicators for the Future City: Assessing Sustainable Urban Planning Strategies B. Augusto et al. https://doi.org/10.1007/s41748-025-01001-6
456. Convection-permitting climate simulations over South America: Experimentation during different phases of ENSO C. Liu et al. https://doi.org/10.1016/j.atmosres.2025.107936
457. Assessment of MPAS and WRF models for Severe Weather Forecasting in Southern Brazil J. Mantovani et al. https://doi.org/10.1016/j.wace.2026.100883
458. Impact of cumulus parameterizations on the simulation of the september 2019 torrential rainfall event over the southeast of the Iberian peninsula J. Santos-Bruña & I. Gómez https://doi.org/10.1007/s11069-025-07367-0
459. The Mesoscale Response to Global Warming over the Pacific Northwest Evaluated Using a Regional Climate Model Ensemble C. Mass et al. https://doi.org/10.1175/JCLI-D-21-0061.1
460. Assimilation of GNSS tropospheric gradients into the Weather Research and Forecasting (WRF) model version 4.4.1 R. Thundathil et al. https://doi.org/10.5194/gmd-17-3599-2024
461. Sensitivity Study of WRF Simulations over Tanzania for Extreme Events during Wet and Dry Seasons A. Lungo et al. https://doi.org/10.3390/atmos11050459
462. Influence of PBL parameterization schemes in WRF_ARW model on short - range precipitation's forecasts in the complex orography of Peruvian Central Andes A. Moya-Álvarez et al. https://doi.org/10.1016/j.atmosres.2019.104708
463. Physical informed neural network improving the WRF-CHEM results of air pollution using satellite-based remote sensing data B. Li et al. https://doi.org/10.1016/j.atmosenv.2023.120031
464. Mid-Holocene climate of the Tibetan Plateau and hydroclimate in three major river basins based on high-resolution regional climate simulations Y. Huo et al. https://doi.org/10.5194/cp-18-2401-2022
465. Statistical characterization of vertical meteorological profiles obtained with the WRF-ARW model on the central Andes of Peru and its relationship with the occurrence of precipitation on the region A. Moya-Álvarez et al. https://doi.org/10.1016/j.atmosres.2020.104915
466. Sensitivity of precipitation and temperature over the Mount Kenya area to physics parameterization options in a high-resolution model simulation performed with WRFV3.8.1 M. Messmer et al. https://doi.org/10.5194/gmd-14-2691-2021
467. 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
468. 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
469. Simulated Kelvin–Helmholtz Waves over Terrain and Their Microphysical Implications R. Conrick et al. https://doi.org/10.1175/JAS-D-18-0073.1
470. Impact of Large-Scale Afforestation on Surface Temperature: A Case Study in the Kubuqi Desert, Inner Mongolia Based on the WRF Model L. Wang et al. https://doi.org/10.3390/f10050368
471. High-resolution anthropogenic emission inventories with deep learning in northern South America F. Antezana Lopez et al. https://doi.org/10.1016/j.rse.2025.114761
472. 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
473. 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
474. Health Impact Assessment of Air Pollution under a Climate Change Scenario: Methodology and Case Study Application S. Coelho et al. https://doi.org/10.3390/su142114309
475. Decadal evaluation of regional climate, air quality, and their interactions over the continental US and their interactions using WRF/Chem version 3.6.1 K. Yahya et al. https://doi.org/10.5194/gmd-9-671-2016
476. 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
477. Flash Flood and Extreme Rainfall Forecast through One-Way Coupling of WRF-SMAP Models: Natural Hazards in Rio de Janeiro State P. da Cunha Luz Barcellos & M. Cataldi https://doi.org/10.3390/atmos11080834
478. 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
479. 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
480. Interstate transport of carbon monoxide and black carbon over India P. Bhardwaj et al. https://doi.org/10.1016/j.atmosenv.2021.118268
481. High-resolution regional climate modeling of warm-season precipitation over the Tibetan Plateau: Impact of grid spacing and convective parameterization H. Liu et al. https://doi.org/10.1016/j.atmosres.2022.106498
482. Evaluation of the WRF Model to Simulate a High-Intensity Rainfall Event over Kampala, Uganda Y. Umer et al. https://doi.org/10.3390/w13060873
483. A Case Study of the Transport/Transformation of Air Pollutants Over the Yellow Sea During the MAPS 2015 Campaign H. Lee et al. https://doi.org/10.1029/2018JD029751
484. Assessing the potential sensitivity of Typhoon Nesat to climate change under SSP5-8.5 scenario Y. Chai et al. https://doi.org/10.1007/s00382-025-07770-0
485. Evaluation of the Effect of WRF Physical Parameterizations on Typhoon and Wave Simulation in the Taiwan Strait C. Luo et al. https://doi.org/10.3390/w15081526
486. Triple dip La-Nina, unorthodox circulation and unusual spin in air quality of India G. Beig et al. https://doi.org/10.1016/j.scitotenv.2024.170963
487. Projected changes in dust emissions and regional air quality due to the shrinking Salton Sea S. Parajuli & C. Zender https://doi.org/10.1016/j.aeolia.2018.05.004
488. Analysis of a Convective Storm Crossing Poyang Lake in China H. Zou et al. https://doi.org/10.1007/s13351-020-9143-5
489. Synoptic and dynamic analysis of a flash flood-inducing heavy rainfall event in arid and semi-arid central-northern Iran and its simulation using the WRF model S. Khansalari et al. https://doi.org/10.1016/j.dynatmoce.2020.101198
490. Assimilation of global navigation satellite system (GNSS) zenith delays and tropospheric gradients: a sensitivity study utilizing sparse and dense station networks R. Thundathil et al. https://doi.org/10.5194/amt-18-4907-2025
491. Implementation of MOPITT carbon monoxide (CO) data assimilation in WRF-Chem for improving CO analysis over India P. Yadav et al. https://doi.org/10.1038/s41598-026-53061-x
492. Is convection-permitting model really better than cumulus parameterization for simulating summer precipitation in the Hengduan Mountains? — A case study of summer 2009 X. Liu et al. https://doi.org/10.1007/s11629-025-9778-x
493. Bias correction of the hourly satellite precipitation product using machine learning methods enhanced with high-resolution WRF meteorological simulations N. Yao et al. https://doi.org/10.1016/j.atmosres.2024.107637
494. Understanding organic aerosols in Bogotá, Colombia: In-situ observations and regional-scale modeling K. Ballesteros-González et al. https://doi.org/10.1016/j.atmosenv.2022.119161
495. Mid-Holocene monsoons in South and Southeast Asia: dynamically downscaled simulations and the influence of the Green Sahara Y. Huo et al. https://doi.org/10.5194/cp-17-1645-2021
496. 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
497. Dynamical downscaling simulation and projection for mean and extreme temperature and precipitation over central Asia X. Zhu et al. https://doi.org/10.1007/s00382-020-05170-0
498. The southeast asian monsoon: dynamically downscaled climate change projections and high resolution regional ocean modelling on the effects of the Tibetan Plateau Y. Huo & W. Peltier https://doi.org/10.1007/s00382-020-05604-9
499. Aerosol–meteorology feedback diminishes the transboundary transport of black carbon into the Tibetan Plateau Y. Hu et al. https://doi.org/10.5194/acp-24-85-2024
500. 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
501. 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
502. Assimilating Doppler radar observations with an ensemble Kalman filter for convection-permitting prediction of convective development in a heavy rainfall event during the pre-summer rainy season of south China X. Bao et al. https://doi.org/10.1007/s11430-017-9076-9
503. Explicit Convection and Scale-Aware Cumulus Parameterizations: High-Resolution Simulations over Areas of Different Topography in Germany A. Wagner et al. https://doi.org/10.1175/MWR-D-17-0238.1
504. Generalized eddy‐diffusivity mass‐flux formulation for the parametrization of atmospheric convection and turbulence C. Vraciu https://doi.org/10.1002/qj.4711
505. Cascading Toward a Kilometer‐Scale GCM: Impacts of a Scale‐Aware Convection Parameterization in the Goddard Earth Observing System GCM S. Freitas et al. https://doi.org/10.1029/2020GL087682
506. Impacts of land cover changes on dust emissions in northern China (2000–2020) H. Song et al. https://doi.org/10.1002/ldr.5094
507. Extreme Rainfall Forecast with the WRF-ARW Model in the Central Andes of Peru A. Moya-Álvarez et al. https://doi.org/10.3390/atmos9090362
508. Sensitivity of Tropical Cyclone Idai Simulations to Cumulus Parametrization Schemes M. Bopape et al. https://doi.org/10.3390/atmos12080932
509. Convective Density Current Circulations That Modulated Meso-γ Surface Winds near the Yarnell Hill Fire M. Kaplan et al. https://doi.org/10.3390/fire6040130
510. Meteorological Downscaling with WRF Model, Version 4.0, and Comparative Evaluation of Planetary Boundary Layer Schemes over a Complex Coastal Airshed C. Onwukwe & P. Jackson https://doi.org/10.1175/JAMC-D-19-0212.1
511. Process-dependent performance and synergy of WRF physics suites in simulating contrasting precipitation over Ningxia Y. Zhang et al. https://doi.org/10.1016/j.asr.2026.09.038
512. Improving aerosol–radiation interactions in the operational forecasting system – AIRWISE S. Kumar et al. https://doi.org/10.5194/acp-26-13189-2026
513. Towards Integrated Climate Services: Platforms Supporting Environmental and Agricultural Resilience in Portugal C. Pereira et al. https://doi.org/10.3390/cli14090175
514. Role of aerosol–cloud–radiation interactions in modulating summertime quasi-biweekly rainfall intensity over South China H. Chen et al. https://doi.org/10.5194/acp-25-15765-2025
515. 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
516. Decadal application of WRF/Chem for regional air quality and climate modeling over the U.S. under the representative concentration pathways scenarios. Part 1: Model evaluation and impact of downscaling K. Yahya et al. https://doi.org/10.1016/j.atmosenv.2016.12.029
517. MATCHA, a novel regional hydroclimate-chemical reanalysis: System description and evaluation C. Roychoudhury et al. https://doi.org/10.5194/essd-18-5209-2026
518. Evaluation of a Customized Variable‐Resolution Global Model and its Application for High‐Resolution Weather Forecasts in East Asia Y. Lui et al. https://doi.org/10.1029/2020EA001228
519. Model-based insights into aerosol perturbation on pristine continental convective precipitation M. Jiang et al. https://doi.org/10.5194/acp-23-4545-2023
520. 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
521. Reducing dependence of modeled resuspended volcanic ash on meteorological grid resolution A. Crawford et al. https://doi.org/10.3389/feart.2025.1511847
522. Improving the Reliability and Added Value of Dynamical Downscaling via Correction of Large‐Scale Errors: A Norwegian Perspective M. Pontoppidan et al. https://doi.org/10.1029/2018JD028372
523. 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
524. Understanding the Impact of Radar and In Situ Observations on the Prediction of a Nocturnal Convection Initiation Event on 25 June 2013 Using an Ensemble-Based Multiscale Data Assimilation System S. Degelia et al. https://doi.org/10.1175/MWR-D-17-0128.1
525. Evaluating Simulated Microphysics during OLYMPEX Using GPM Satellite Observations R. Conrick & C. Mass https://doi.org/10.1175/JAS-D-18-0271.1
526. Impact of land use and physical schemes on convection-permitting simulations of an extreme precipitation event in the Metropolitan Area of São Paulo, Brazil G. Gomes et al. https://doi.org/10.1007/s11069-026-08302-7
527. 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
528. 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
529. Evaluating and Improving Scale‐Awareness of a Convective Parameterization Closure Using Cloud‐Resolving Model Simulations of Convection X. Wang et al. https://doi.org/10.1029/2021JD035729
530. Mapping green water scarcity under climate change: A case study of Portugal P. Quinteiro et al. https://doi.org/10.1016/j.scitotenv.2019.134024
531. 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
532. Optimal selection of satellite XCO2 images for urban CO2 emission monitoring A. Danjou et al. https://doi.org/10.5194/amt-18-533-2025
533. 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
534. On Producing Reliable and Affordable Numerical Weather Forecasts on Public Cloud-Computing Infrastructure T. Chui et al. https://doi.org/10.1175/JTECH-D-18-0142.1
535. 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
536. 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
537. 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
538. 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
539. Limited-Area Atmospheric Modeling Using an Unstructured Mesh W. Skamarock et al. https://doi.org/10.1175/MWR-D-18-0155.1
540. Application of a Physical Ensemble Method in the POD-4DEnVar Y. Yang et al. https://doi.org/10.1175/WAF-D-17-0169.1
541. Assessing free tropospheric quasi-equilibrium for different GCM resolutions using a cloud-resolving model simulation of tropical convection X. Wang et al. https://doi.org/10.1007/s00382-022-06232-1
542. 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
543. Diagnostic evaluation of extreme winter rainfall events over the Arabian Peninsula using high‐resolution weather research and forecasting simulations R. Attada et al. https://doi.org/10.1002/met.2095
544. Extreme precipitation modeling and Probable Maximum Precipitation (PMP) estimation in Chile Y. Hiraga & J. Meza https://doi.org/10.1016/j.ejrh.2025.102274
545. 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
546. 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
547. 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
548. 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
549. 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
550. 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
551. Appropriately representing convective heating is critical for predicting catastrophic heavy rainfall in 2021 in Henan Province of China M. Xu et al. https://doi.org/10.1088/2515-7620/accfec
552. 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
553. 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
554. 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
555. 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
556. 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
557. 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
558. 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
559. 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
560. 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
561. Anthropogenic Contributions to the 2021 Pacific Northwest Heatwave E. Bercos‐Hickey et al. https://doi.org/10.1029/2022GL099396
562. The impact of resolution on meteorological, chemical and aerosol properties in regional simulations with WRF-Chem P. Crippa et al. https://doi.org/10.5194/acp-17-1511-2017
563. 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
564. 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
565. 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
566. 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
567. 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
568. 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
569. 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
570. 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
571. 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
572. 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
573. 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
574. 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
575. 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
576. 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
577. 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
578. 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
579. 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
580. Insights into Atmospheric Predictability through Global Convection-Permitting Model Simulations F. Judt https://doi.org/10.1175/JAS-D-17-0343.1
581. 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
582. 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
583. 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
584. Cumulus Parameterization for Gray Zone: A Conceptual Model M. Sugi https://doi.org/10.2151/sola.2025-038
585. 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
586. 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
587. 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
588. 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
589. 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
590. 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
591. 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
592. 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
593. Development of the WRF-CO2 4D-Var assimilation system v1.0 T. Zheng et al. https://doi.org/10.5194/gmd-11-1725-2018
594. 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
595. 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
596. 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
597. 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
598. 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
599. 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
600. 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
601. Performance evaluation of an operational lightning forecasting system in Europe T. Giannaros et al. https://doi.org/10.1007/s11069-016-2555-y
602. Comparisons of next-day solar forecasting for Singapore using 3DVAR and 4DVAR data assimilation approaches with the WRF model R. Huva et al. https://doi.org/10.1016/j.renene.2019.09.011
603. 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
604. 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
605. A spatio-temporal evaluation of the WRF physical parameterisations for numerical rainfall simulation in semi-humid and semi-arid catchments of Northern China J. Tian et al. https://doi.org/10.1016/j.atmosres.2017.03.012
606. A comparison of variational, ensemble-based, and hybrid data assimilation methods over East Asia for two one-month periods E. Yang & H. Kim https://doi.org/10.1016/j.atmosres.2020.105257
607. Bias Analysis of WRF-CMAQ Simulated PM2.5 Concentrations Caused by Different PBL Parameterizations: Application to the Haze Period of March in 2019 over the Seoul Metropolitan Area S. Jeong & C. Kim https://doi.org/10.5572/KOSAE.2021.37.6.835
608. Impact of dust aerosols on the Indian Summer Monsoon Rainfall on intra-seasonal time-scale S. Debnath et al. https://doi.org/10.1016/j.atmosenv.2023.119802
609. The Impact of Stochastic Perturbations in Physics Variables for Predicting Surface Solar Irradiance J. Kim et al. https://doi.org/10.3390/atmos13111932
610. Assimilation of GPM-retrieved ocean surface meteorology data for two snowstorm events during ICE-POP 2018 X. Li et al. https://doi.org/10.5194/gmd-15-5287-2022
611. Comparison and evaluation of updates to WRF-Chem (v3.9) biogenic emissions using MEGAN M. Morichetti et al. https://doi.org/10.5194/gmd-15-6311-2022
612. Aerosol and Urban Land Use Effect on Rainfall Around Cities in Indo‐Gangetic Basin From Observations and Cloud Resolving Model Simulations C. Sarangi et al. https://doi.org/10.1002/2017JD028004
613. Machine Learning Emulation of Spatial Deposition from a Multi-Physics Ensemble of Weather and Atmospheric Transport Models N. Gunawardena et al. https://doi.org/10.3390/atmos12080953
614. Representation of a Post-Fire Flash-Flood Event Combining Meteorological Simulations, Remote Sensing, and Hydraulic Modeling A. Alamanos et al. https://doi.org/10.3390/land13010047
615. Role of High-Resolution Land Surface Representation in WRF Model for Forecasting Extreme Heatwave Conditions over Cyprus A. Parde et al. https://doi.org/10.3390/forecast8030042
616. A Case Study of Low‐Level Jets in Yerevan Simulated by the WRF Model A. Gevorgyan https://doi.org/10.1002/2017JD027629
617. Assessing daytime discrepancies and key factors in urban thermal environments: A local climate zones-based modeling study in five Chinese cities Z. Liu et al. https://doi.org/10.1016/j.uclim.2024.101993
618. A Framework for Convection and Boundary Layer Parameterization Derived from Conditional Filtering J. Thuburn et al. https://doi.org/10.1175/JAS-D-17-0130.1
619. Convection‐Permitting Simulation of a Heavy Rainfall Event in Armenia Using the WRF Model A. Gevorgyan https://doi.org/10.1029/2017JD028247
620. A new RANS-based wind farm parameterization and inflow model for wind farm cluster modeling M. van der Laan et al. https://doi.org/10.5194/wes-8-819-2023
621. Evaluation of the Grell–Freitas Convective Scheme in the Hurricane Weather Research and Forecasting (HWRF) Model M. Biswas et al. https://doi.org/10.1175/WAF-D-19-0124.1
622. Spatial and Temporal Distribution of Black Carbon in Peru from the Analysis of Biomass Burning Sources and the Use of Numerical Models A. Moya-Álvarez et al. https://doi.org/10.1007/s41748-023-00342-4
623. Impact of post-monsoon crop residue burning on PM2.5 over northern India: optimizing emissions using a high-density in situ surface observation network M. Kajino et al. https://doi.org/10.5194/acp-25-7137-2025
624. Development of a Model Performance Metric and Its Application to Assess Summer Precipitation over the U.S. Great Plains in Downscaled Climate Simulations B. Tian et al. https://doi.org/10.1175/JHM-D-17-0045.1
625. Near-global-scale high-resolution seasonal simulations with WRF-Noah-MP v.3.8.1 T. Schwitalla et al. https://doi.org/10.5194/gmd-13-1959-2020
626. Heavy rainfall event in Nova Friburgo (Brazil): numerical sensitivity analysis using different parameterization combinations in the WRF model C. Veiga et al. https://doi.org/10.1007/s11069-024-06638-6
627. The projected occurrence changes of the lower atmospheric ducts accompanied with sea fog under different CMIP6 scenarios across the Hangzhou Bay Y. Pu et al. https://doi.org/10.3389/fmars.2026.1746556
628. Configuration and hindcast quality assessment of a Brazilian global sub‐seasonal prediction system B. Guimarães et al. https://doi.org/10.1002/qj.3725
629. Impact of Biomass Burning Aerosols on the Diurnal Cycle of Convective Clouds and Precipitation Over a Tropical Island A. Hodzic & J. Duvel https://doi.org/10.1002/2017JD027521
630. 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
631. Evaluation and error apportionment of an ensemble of atmospheric chemistry transport modeling systems: multivariable temporal and spatial breakdown E. Solazzo et al. https://doi.org/10.5194/acp-17-3001-2017
632. Atmospheric Energy Spectra in Global Kilometre-Scale Models C. Stephan et al. https://doi.org/10.16993/tellusa.26
633. Assimilation and Evaluation of the COSMIC–2 and Sounding Data in Tropospheric Atmospheric Refractivity Forecasting across the Yellow Sea through an Ocean–Atmosphere–Wave Coupled Model S. Wu et al. https://doi.org/10.3390/atmos14121776
634. The Impact of Microphysics Parameterization in the Simulation of Two Convective Rainfall Events over the Central Andes of Peru Using WRF-ARW D. Martínez-Castro et al. https://doi.org/10.3390/atmos10080442
635. Integrating Ensemble Weather Predictions in a Hydrologic-Hydraulic Modelling System for Fine-Resolution Flood Forecasting: The Case of Skala Bridge at Evrotas River, Greece G. Varlas et al. https://doi.org/10.3390/atmos15010120
636. Increased contributions of climate-driven wildfires to nitrogen deposition in the United States P. Campbell et al. https://doi.org/10.1038/s43247-026-03279-4
637. The Effect of Surface Oil on Ocean Wind Stress D. Blair et al. https://doi.org/10.3390/earth4020019
638. Quantification of CO emissions from the city of Madrid using MOPITT satellite retrievals and WRF simulations I. Dekker et al. https://doi.org/10.5194/acp-17-14675-2017
639. Precipitation Dynamical Downscaling Over the Great Plains X. Hu et al. https://doi.org/10.1002/2017MS001154
640. How does the cumulus parameterization scheme influence the simulation of MJO propagation and structure? X. Zhu et al. https://doi.org/10.1007/s00382-024-07427-4
641. Anthropogenic Aerosols Weaken Land–Atmosphere Coupling Over North China J. Wei et al. https://doi.org/10.1029/2023GL105685
642. Assessment of the near surface air pollution, sources, and their potential at a tropical urban location Hyderabad, India V. Jayachandran & T. Rao https://doi.org/10.1007/s11356-025-37338-8
643. Evaluation of Stochastic Perturbed Parameterization Tendencies on Convective-Permitting Ensemble Forecasts of Heavy Rainfall Events in New York and Taiwan K. Lupo et al. https://doi.org/10.1175/WAF-D-19-0064.1
644. High-resolution data assimilation for two maritime extreme weather events: a comparison between 3D-Var and EnKF D. Carrió et al. https://doi.org/10.5194/nhess-25-2999-2025
645. Impact of spatial resolution on multi-scenario WRF-ARW simulations driven by the CMIP6 MPI-ESM1-2-HR global model: a focus on precipitation distribution over Italy M. Struglia et al. https://doi.org/10.5194/gmd-18-6095-2025
646. Effect of the Grell‐Freitas Deep Convection Scheme in Quasi‐Uniform and Variable‐Resolution Aquaplanet CAM Simulations J. Jang et al. https://doi.org/10.1029/2020MS002459
647. The Weather Research and Forecasting Model with Aerosol–Cloud Interactions (WRF-ACI): Development, Evaluation, and Initial Application T. Glotfelty et al. https://doi.org/10.1175/MWR-D-18-0267.1
648. Development of UI-WRF-Chem (v1.0) for the MAIA satellite mission: case demonstration H. Zhang et al. https://doi.org/10.5194/gmd-18-9061-2025
649. Analysis of the effect of troposphere ozone on grain production in North China Plain and Yangtze River Delta W. XUYUAN & K. TATSUMI https://doi.org/10.2480/agrmet.D-23-00023
650. Implementation of an ensemble Kalman filter in the Community Multiscale Air Quality model (CMAQ model v5.1) for data assimilation of ground-level PM2.5 S. Park et al. https://doi.org/10.5194/gmd-15-2773-2022
651. Extreme Aerosol Events Over Eastern North America: 1. Characterizing and Simulating Historical Events Y. Guo et al. https://doi.org/10.1029/2020JD033758
652. The role of atmospheric aerosols on severe convective precipitation in a Mediterranean coastal region F. Ferrari et al. https://doi.org/10.1016/j.atmosres.2024.107421
653. A Typical Weakly Forced Mountain‐To‐Plain Extreme Precipitation Event Exacerbated by Urbanization in Beijing Y. He et al. https://doi.org/10.1029/2023JD039275
654. Modelling air quality levels of regulated metals: limitations and challenges J. Ferreira et al. https://doi.org/10.1007/s11356-020-09645-9
655. Avaliação da Energética Prevista nos Modelos Regionais BRAMS, ETA e WRF: Parte I - Inverno M. Gan et al. https://doi.org/10.1590/0102-77863640042
656. Exploring the effects of a nonhydrostatic dynamical core in high‐resolution aquaplanet simulations Q. Yang et al. https://doi.org/10.1002/2016JD025287
657. Evaluation of WRF model configurations for dynamic downscaling of tropical cyclones activity over the North Atlantic basin for Lagrangian moisture tracking analysis in future climate A. Pérez-Alarcón et al. https://doi.org/10.1016/j.atmosres.2024.107498
658. Global distribution of Asian, Middle Eastern, and North African dust simulated by CESM1/CARMA S. Lian et al. https://doi.org/10.5194/acp-22-13659-2022
659. Control of both PM2.5 and O3 in Beijing-Tianjin-Hebei and the surrounding areas S. Xiang et al. https://doi.org/10.1016/j.atmosenv.2020.117259
660. The Role of Unresolved Clouds on Short-Range Global Horizontal Irradiance Predictability P. Jiménez et al. https://doi.org/10.1175/MWR-D-16-0104.1
661. Will Anthropogenic Warming Increase Evapotranspiration? Examining Irrigation Water Demand Implications of Climate Change in California P. Vahmani et al. https://doi.org/10.1029/2021EF002221
662. Spring biomass-burning aerosols intensify extreme climate and socioeconomic risks around the South China Sea Z. Ji & S. Yang https://doi.org/10.1016/j.accre.2026.08.007
663. Synoptic and mesoscale winds in the complex terrain of Perdigão I. Coimbra & J. Palma https://doi.org/10.1088/1742-6596/2265/2/022010
664. The Impacts of Horizontal Grid Spacing and Cumulus Parameterization on Subseasonal Prediction in a Global Convection-Permitting Model N. Weber et al. https://doi.org/10.1175/MWR-D-20-0171.1
665. A sensitivity study of WRF model microphysics and cumulus parameterization schemes for the simulation of tropical cyclones using GPM radar data H. Baki et al. https://doi.org/10.1007/s12040-021-01682-3
666. Assessment of the sensitivity of model responses to urban emission changes in support of emission reduction strategies B. Bessagnet et al. https://doi.org/10.1007/s11869-023-01469-z
667. Advancing ozone forecasting in high-altitude tropical cities: A WRF-Chem application for Quito, Ecuador G. Mancheno & H. Jorquera https://doi.org/10.1016/j.apr.2026.102925
668. Evaluation of atmospheric aerosols in the metropolitan area of São Paulo simulated by the regional EURAD-IM model on high-resolution E. De Souza Fernandes Duarte et al. https://doi.org/10.1016/j.apr.2020.12.006
669. Dominance of Wildfires Impact on Air Quality Exceedances During the 2020 Record‐Breaking Wildfire Season in the United States Y. Li et al. https://doi.org/10.1029/2021GL094908
670. Development of Korean Air Quality Prediction System version 1 (KAQPS v1) with focuses on practical issues K. Lee et al. https://doi.org/10.5194/gmd-13-1055-2020
671. The Effect of Increasing Surface Albedo on Urban Climate and Air Quality: A Detailed Study for Sacramento, Houston, and Chicago Z. Jandaghian & H. Akbari https://doi.org/10.3390/cli6020019
672. Enhanced regional ocean ensemble data assimilation through atmospheric coupling in the SKRIPS model R. Sun et al. https://doi.org/10.1016/j.ocemod.2024.102424
673. Assessment of cloud microphysics and cumulus convection schemes to model extreme rainfall events over the Paraiba do Sul River Basin B. de Campos et al. https://doi.org/10.1016/j.uclim.2023.101618
674. Contrasting Responses of Local Climate to the Perturbation of Atmospheric Boundary Layer Winds Linked to Land‐Atmosphere Interactions J. Wei et al. https://doi.org/10.1029/2020JD034508
675. A damaging supercell hailstorm on 6 July 2023 in Vitoria-Gasteiz, the Basque Country J. Egaña et al. https://doi.org/10.5194/asr-22-165-2026
676. Impact of different scale-aware cumulus parameterizations on precipitation forecasts over Korea J. Han https://doi.org/10.1016/j.atmosres.2025.107990
677. Forest-fire aerosol–weather feedbacks over western North America using a high-resolution, online coupled air-quality model P. Makar et al. https://doi.org/10.5194/acp-21-10557-2021
678. An Analysis of the 3 May 2020 Low-Predictability Derecho Using a Convection-Allowing MPAS Ensemble B. Ribeiro et al. https://doi.org/10.1175/WAF-D-21-0092.1
679. Black carbon emissions and its impact on the monsoon rainfall patterns over the Indian subcontinent: Insights into localized warming effects S. Debnath et al. https://doi.org/10.1016/j.aeaoa.2024.100257
680. New particle formation induced by anthropogenic–biogenic interactions on the southeastern Tibetan Plateau S. Lai et al. https://doi.org/10.5194/acp-24-2535-2024
681. Improvement of near-surface wind speed modeling through refined aerodynamic roughness length in high-roughness surface regions: implementation and validation in the Weather Research and Forecasting (WRF) model version 4.0 J. Wang et al. https://doi.org/10.5194/gmd-18-10077-2025
682. Assessing the Resolution Adaptability of the Zhang‐McFarlane Cumulus Parameterization With Spatial and Temporal Averaging Y. Yun et al. https://doi.org/10.1002/2017MS001035
683. A new WRF-Chem treatment for studying regional-scale impacts of cloud processes on aerosol and trace gases in parameterized cumuli L. Berg et al. https://doi.org/10.5194/gmd-8-409-2015
684. Physics Parameterization Selection in RCM and ESM Simulations Revisited: New Supporting Approach Based on Empirical Copulas P. Laux et al. https://doi.org/10.3390/atmos10030150
685. Precipitation forecasting in Thailand with machine learning technique P. Longsombun & A. Hanskunatai https://doi.org/10.1007/s11600-026-01972-8
686. Evaluation of the CABLEv2.3.4 Land Surface Model Coupled to NU‐WRFv3.9.1.1 in Simulating Temperature and Precipitation Means and Extremes Over CORDEX AustralAsia Within a WRF Physics Ensemble A. Hirsch et al. https://doi.org/10.1029/2019MS001845
687. Improving Wet and Dry Deposition of Aerosols in WRF‐Chem: Updates to Below‐Cloud Scavenging and Coarse‐Particle Dry Deposition Y. Ryu & S. Min https://doi.org/10.1029/2021MS002792
688. Performance of the WRF model in simulating intense precipitation events over the Hanjiang River Basin, China – A multi-physics ensemble approach Q. Yang et al. https://doi.org/10.1016/j.atmosres.2020.105206
689. Uncertainties in future climate predictions due to convection parameterisations H. Rybka & H. Tost https://doi.org/10.5194/acp-14-5561-2014
690. Establishing a Numerical Modeling Framework for Hydrologic Engineering Analyses of Extreme Storm Events X. Chen et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001523
691. WRF numerical simulation of summer precipitation and its application over the mountainous southern Tibetan Plateau based on different cumulus parameterization schemes H. Liu et al. https://doi.org/10.1016/j.atmosres.2024.107608
692. High-resolution anthropogenic emission inventory for China (2015–2024): Spatiotemporal changes and environmental application D. Li et al. https://doi.org/10.1016/j.atmosenv.2025.121495
693. Performance of the Weather Research and Forecasting model in simulating climate over northern Asia R. Bai et al. https://doi.org/10.1002/joc.7898
694. AVALIAÇÃO ESTATÍSTICA DOS ÍCONES REPRESENTATIVOS DAS CONDIÇÕES METEOROLÓGICAS PREVISTAS PARA BAURU-SP E DISPONIBILIZADAS NO SITE DO IPMET/UNESP M. Maciel & D. Moreira https://doi.org/10.54751/revistafoco.v18n4-029
695. Efficiently Improving Ensemble Forecasts of Warm-Sector Heavy Rainfall over Coastal Southern China: Targeted Assimilation to Reduce the Critical Initial Field Errors X. Bao et al. https://doi.org/10.1007/s13351-023-2140-8
696. Reduced aerosol transport from South Asia to the Tibetan Plateau following the January 2021 sudden stratospheric warming event Y. Hu et al. https://doi.org/10.1038/s43247-024-01889-4
697. Revisiting the Role of SMAP Soil Moisture Retrievals in WRF-Chem Dust Emission Simulations over the Western U.S. P. Jiménez y Muñoz et al. https://doi.org/10.3390/rs17081345
698. An observationally based evaluation of WRF seasonal simulations over the Central and Eastern Pacific L. Wu et al. https://doi.org/10.1002/2015JD023561
699. The Multi-Scale Dynamics Organizing a Favorable Environment for Convective Density Currents That Redirected the Yarnell Hill Fire M. Kaplan et al. https://doi.org/10.3390/cli9120170
700. An Assessment of Representing Land‐Ocean Heterogeneity via CAPE Relaxation Timescale in the Community Atmospheric Model 6 (CAM6) B. Goswami et al. https://doi.org/10.1029/2025MS005035
701. Forecastability of a heavy precipitation event at different lead-times using WRF model: the case study in Karkheh River basin M. Maddah et al. https://doi.org/10.1007/s11600-021-00669-4
702. TKE-Based Moist Eddy-Diffusivity Mass-Flux (EDMF) Parameterization for Vertical Turbulent Mixing J. Han & C. Bretherton https://doi.org/10.1175/WAF-D-18-0146.1
703. Effective sea ice area based on a thickness threshold V. Ford et al. https://doi.org/10.1007/s00382-021-05655-6
704. Evaluating Phoenix Metropolitan Area Ozone Behavior Using Ground-Based Sampling, Modeling, and Satellite Retrievals J. Miech et al. https://doi.org/10.3390/atmos15050555
705. Subgrid-scale aerosol–cloud interaction in the atmospheric chemistry model CMA_Meso5.1/CUACE and its impacts on mesoscale meteorology prediction W. Zhang et al. https://doi.org/10.5194/acp-25-9005-2025
706. Response of surface ozone over the continental United States to UV radiation declines from the expected recovery of stratospheric ozone A. Hodzic & S. Madronich https://doi.org/10.1038/s41612-018-0045-5
707. Biogenic carbon dioxide transport by a convective system in the Amazon Basin B. Ribeiro et al. https://doi.org/10.1016/j.atmosres.2026.109017
708. Substantial short- and long-term health effect due to PM2.5 and the constituents even under future emission reductions in China S. Xiang et al. https://doi.org/10.1016/j.scitotenv.2023.162433
709. Evaluating Warm and Cold Rain Processes in Cloud Microphysical Schemes Using OLYMPEX Field Measurements A. Naeger et al. https://doi.org/10.1175/MWR-D-19-0092.1
710. The making of the New European Wind Atlas – Part 1: Model sensitivity A. Hahmann et al. https://doi.org/10.5194/gmd-13-5053-2020
711. Extent of aerosol effect on the precipitation of squall lines: A case study in South China H. Xiao et al. https://doi.org/10.1016/j.atmosres.2023.106886
712. Moisture Sources of the Tohoku Heavy Rainfalls in August 2022 and the Influences of Tropical Storms N. Zhao et al. https://doi.org/10.1029/2023GL104166
713. Dynamic Ensemble Analysis of Frontal Placement Impacts in the Presence of Elevated Thunderstorms during PRECIP Events J. Kastman et al. https://doi.org/10.3390/atmos9090339
714. Improving the Physical Basis for Updraft Dynamics in Deep Convection Parameterizations J. Peters et al. https://doi.org/10.1029/2020MS002282
715. WRF Simulations of Passive Tracer Transport from Biomass Burning in South America: Sensitivity to PBL Schemes D. de Bem et al. https://doi.org/10.3390/rs17203483
716. Biogeophysical impacts of forestation in Europe: first results from the LUCAS (Land Use and Climate Across Scales) regional climate model intercomparison E. Davin et al. https://doi.org/10.5194/esd-11-183-2020
717. Assessment of Caesium-137 Detections at CTBTO Radionuclide Monitoring Stations in East Asia and Their Relationship to Asian Dust Dispersion A. Furuno et al. https://doi.org/10.1007/s00024-024-03620-y
718. Ensemble Forecast Sensitivity to Observations Impact (EFSOI) applied to a regional data assimilation system over south-eastern South America G. Casaretto et al. https://doi.org/10.1016/j.atmosres.2023.106996
719. Characterizing the Distinct Modulation of Future Emissions on Summer Ozone Concentrations between Urban and Rural Areas Over China X. Zeng et al. https://doi.org/10.2139/ssrn.3982112
720. The critical role of cloud–infrared radiation feedback in tropical cyclone development J. Ruppert et al. https://doi.org/10.1073/pnas.2013584117
721. Simulations of primary and secondary ice production during an Arctic mixed-phase cloud case from the Ny-Ålesund Aerosol Cloud Experiment (NASCENT) campaign B. Schäfer et al. https://doi.org/10.5194/acp-24-7179-2024
722. Characteristics and Representation of Subgrid Convective Flux in a Tropical Cyclone Convection System at Convection‐Permitting Resolution X. Zhang https://doi.org/10.1029/2024MS004558
723. Substantial ozone enhancement over the North China Plain from increased biogenic emissions due to heat waves and land cover in summer 2017 M. Ma et al. https://doi.org/10.5194/acp-19-12195-2019
724. Extreme Aerosol Events Over Eastern North America: Part 2. Responses to Changing Emissions Y. Guo et al. https://doi.org/10.1029/2020JD033759
725. Assessing the importance of spatio‐temporal RCM resolution when estimating sub‐daily extreme precipitation under current and future climate conditions M. Sunyer et al. https://doi.org/10.1002/joc.4733
726. Improved Forecast Skill Through the Assimilation of Dropsonde Observations From the Atmospheric River Reconnaissance Program M. Zheng et al. https://doi.org/10.1029/2021JD034967
727. JEDI‐Based Three‐Dimensional Ensemble‐Variational Data Assimilation System for Global Aerosol Forecasting at NCEP B. Huang et al. https://doi.org/10.1029/2022MS003232
728. Operational, diagnostic, and probabilistic evaluation of AQMEII-4 regional-scale ozone dry deposition: time to harmonize our LULC masks I. Kioutsioukis et al. https://doi.org/10.5194/acp-25-12923-2025
729. HighResClimNevada: a high-resolution climatological dataset for a high-altitude region in southern Spain (Sierra Nevada) M. García-Valdecasas Ojeda et al. https://doi.org/10.5194/essd-17-2809-2025
730. Assimilation of GNSS PWV with NCAR-RTFDDA to Improve Prediction of a Landfall Typhoon H. Wang et al. https://doi.org/10.3390/rs14010178
731. The influence of ERA5 and FNL driven WRF on sensitivity experiments of small-scale underlying surface changes: a case study of poyang lake in China S. Wu et al. https://doi.org/10.1016/j.jastp.2025.106650
732. Ensemble-Tailored Pattern Analysis of High-Resolution Dynamically Downscaled Precipitation Fields: Example for Climate Sensitive Regions of South America T. Portele et al. https://doi.org/10.3389/feart.2021.669427
733. A Sensitivity Study of High-Resolution Climate Simulations for Greece N. Politi et al. https://doi.org/10.3390/cli8030044
734. Understanding model diversity in future precipitation projections for South America Ø. Hodnebrog et al. https://doi.org/10.1007/s00382-021-05964-w
735. Assessment of physical schemes for WRF model in convection-permitting mode over southern Iberian Peninsula F. Solano-Farias et al. https://doi.org/10.1016/j.atmosres.2023.107175
736. Intercomparison of Air Quality Models in a Megacity: Toward an Operational Ensemble Forecasting System for São Paulo A. Deroubaix et al. https://doi.org/10.1029/2022JD038179
737. Effects of Surface Fluxes on Ventilation Pathways and the Intensification of Hurricane Michael (2018) J. Alland & C. Davis https://doi.org/10.1175/JAS-D-21-0166.1
738. Sensitivity of Meteorological Skill to Selection of WRF‐Chem Physical Parameterizations and Impact on Ozone Prediction During the Lake Michigan Ozone Study (LMOS) M. Abdi‐Oskouei et al. https://doi.org/10.1029/2019JD031971
739. URB-Solar: An Open-Source Tool for Solar Power Prediction in Urban Areas V. Raghavan & H. Gopalan https://doi.org/10.1115/1.4040756
740. Ensemble hindcasting of winds and waves for the coastal and oceanic region of Southern Brazil G. Correia et al. https://doi.org/10.1016/j.cageo.2024.105658
741. The Grell–Freitas (GF) convection parameterization: recent developments, extensions, and applications S. Freitas et al. https://doi.org/10.5194/gmd-14-5393-2021
742. Clear Air Turbulence Observed Across a Tropopause Fold Over the Drake Passage—A Case Study P. Rodriguez Imazio et al. https://doi.org/10.1029/2021JD035908
743. Impacts of assimilating observations from connected vehicles into a numerical weather prediction model A. Siems-Anderson et al. https://doi.org/10.1016/j.trip.2020.100253
744. Numerical simulation of circulation characteristics of orographic precipitation in Qilian Mountains, Northeastern Tibetan Plateau L. Wei et al. https://doi.org/10.1016/j.atmosres.2024.107762
745. Radiative Effects of Residential Sector Emissions in China: Sensitivity to Uncertainty in Black Carbon Emissions S. Archer‐Nicholls et al. https://doi.org/10.1029/2018JD030120
746. Understanding the Daytime and Nighttime Impacts of Dust Aerosols on Surface Energy and Meteorological Fields in Northwest China S. Su et al. https://doi.org/10.1029/2022JD037619
747. Sensitivity of a Mediterranean Tropical-Like Cyclone to Physical Parameterizations I. Pytharoulis et al. https://doi.org/10.3390/atmos9110436
748. On the Combination of Physical Parameterization Schemes for Tropical Cyclone Track and Intensity Forecasts in the Context of Uncertainty X. Wang & Z. Tan https://doi.org/10.1029/2022MS003381
749. Spectral Characteristics of Convective-Scale Precipitation Observations and Forecasts M. Wong & W. Skamarock https://doi.org/10.1175/MWR-D-16-0183.1
750. Examination of WRF-ARW Experiments Using Different Planetary Boundary Layer Parameterizations to Study the Rapid Intensification and Trajectory of Hurricane Otto (2016) T. Maldonado et al. https://doi.org/10.3390/atmos11121317
751. Extension of the WRF-Chem volcanic emission preprocessor to integrate complex source terms and evaluation for different emission scenarios of the Grimsvötn 2011 eruption M. Hirtl et al. https://doi.org/10.5194/nhess-20-3099-2020
752. Calibração do modelo regional BRAMS para a previsão de eventos climáticos extremos J. Freire et al. https://doi.org/10.1590/0102-778620140034
753. A Lagrangian Perspective on Parameterizing Deep Convection R. McTaggart-Cowan et al. https://doi.org/10.1175/MWR-D-19-0164.1
754. Evaluation of an integrated WRF-Chem framework for air quality forecasting and source attribution in Jaipur, India P. Yadav et al. https://doi.org/10.1007/s10661-026-15594-6
755. Improving the downscaled springtime temperature in Central Asia through assimilating meteorological and snow cover observations Y. Yao et al. https://doi.org/10.1016/j.atmosres.2021.105619
756. Thermodynamically constrained retrieval algorithm to estimate subpixel fire properties C. Zhang et al. https://doi.org/10.1016/j.rse.2025.114871
757. Towards the coupling of a chemical transport model with a micro-scale Lagrangian modelling system for evaluation of urban NOx levels in a European hotspot G. Veratti et al. https://doi.org/10.1016/j.atmosenv.2020.117285
758. Decision Support System version 1.0 (DSS v1.0) for air quality management in Delhi, India G. Govardhan et al. https://doi.org/10.5194/gmd-17-2617-2024
759. The Influence of Weather Forecast Resolution on the Circulation of Lake George, NY G. Auger et al. https://doi.org/10.1029/2020WR029552
760. Improving the cloud initialization in WRF-Solar with enhanced short-range forecasting functionality: The MAD-WRF model P. Jiménez et al. https://doi.org/10.1016/j.solener.2022.04.055
761. Using high-resolution regional climate models to estimate return levels of daily extreme precipitation over Bavaria B. Poschlod https://doi.org/10.5194/nhess-21-3573-2021
762. Evaluation of WRF Performance in Simulating an Extreme Precipitation Event over the South of Minas Gerais, Brazil D. Garcia et al. https://doi.org/10.3390/atmos14081276
763. Intra-hour solar irradiance forecasting using topology data analysis and physics-driven deep learning T. Han et al. https://doi.org/10.1016/j.renene.2024.120138
764. Optimizing Satellite-Based Latent Heating Rate Profiling Using a Convolutional Neural Network Heating (CNNH) Algorithm H. Zhao et al. https://doi.org/10.1109/TGRS.2024.3466952
765. Improving the prediction of DNI with physics-based representation of all-sky circumsolar radiation Y. Xie et al. https://doi.org/10.1016/j.solener.2021.12.016
766. A Review and Evaluation of Planetary Boundary Layer Parameterizations in Hurricane Weather Research and Forecasting Model Using Idealized Simulations and Observations J. Zhang et al. https://doi.org/10.3390/atmos11101091
767. Multiplatform observations and WRF-Based diagnosis of an extreme pre-monsoon convective outbreak over the Delhi National Capital Region, India G. Rakshit et al. https://doi.org/10.1016/j.jastp.2026.106800
768. Synoptic Analysis and Subseasonal Predictability of an Early Heatwave in the Eastern Mediterranean D. Mitropoulos et al. https://doi.org/10.3390/atmos15040442
769. Source and exposure apportionments of ambient PM2.5 under different synoptic patterns in the Pearl River Delta region Y. Chen et al. https://doi.org/10.1016/j.chemosphere.2019.06.236
770. Integrating WRF-CHEM simulation with Random Forest algorithm to evaluate the spatio-temporal variation of PM10 in Western Himalayan region of India H. Tripathi et al. https://doi.org/10.1080/02786826.2026.2666422
771. WRF Physics Ensemble Performance Evaluation over Continental and Coastal Regions in Germany I. Stergiou et al. https://doi.org/10.3390/atmos14010017
772. A new parameterization of uptake coefficient of SO2 and its impact on sulfate concentration K. Kim et al. https://doi.org/10.1016/j.atmosenv.2025.121503
773. Atmospheric Predictability of the Tropics, Middle Latitudes, and Polar Regions Explored through Global Storm-Resolving Simulations F. Judt https://doi.org/10.1175/JAS-D-19-0116.1
774. Global variable-resolution simulations of extreme precipitation over Henan, China, in 2021 with MPAS-Atmosphere v7.3 Z. Liu et al. https://doi.org/10.5194/gmd-17-5477-2024
775. The Effect of Moisture in Different Altitude Layers on the Eastward Propagation of MJO X. Zhu et al. https://doi.org/10.1007/s13351-024-3168-0
776. Ensemble flood forecasting based on a coupled atmospheric-hydrological modeling system with data assimilation J. Tian et al. https://doi.org/10.1016/j.atmosres.2019.03.029
777. Do the use of a convection scheme in the convective “gray zone” and the increase in spatial resolution enhance the WRF’s precipitation predictive capability? I. Stergiou et al. https://doi.org/10.1007/s00704-025-05415-0
778. Modeling the Processing of Aerosol and Trace Gases in Clouds and Fogs B. Ervens https://doi.org/10.1021/cr5005887
779. Lidar data assimilation method based on CRTM and WRF-Chem models and its application in PM2.5 forecasts in Beijing X. Cheng et al. https://doi.org/10.1016/j.scitotenv.2019.05.186
780. Assessment of a New Cloud Fraction Scheme for Precipitation Simulations Over the Tibetan Plateau B. Liao et al. https://doi.org/10.1155/adme/9559800
781. A preliminary evaluation of the necessity of using a cumulus parameterization scheme in high-resolution simulations of Typhoon Haiyan (2013) F. Li et al. https://doi.org/10.1007/s11069-018-3218-y
782. On the Importance of a Consistent Treatment of Prognostic Moisture Variables between Convective and Microphysical Parameterizations E. Grell et al. https://doi.org/10.1175/MWR-D-17-0305.1
783. Impact of the Diurnal Radiation Cycle on Secondary Eyewall Formation X. Tang et al. https://doi.org/10.1175/JAS-D-17-0020.1
784. Dust impacts on the Indian summer monsoon: chaotic or physical effect? J. Feng et al. https://doi.org/10.5194/acp-25-12051-2025
785. The CHIMERE v2020r1 online chemistry-transport model L. Menut et al. https://doi.org/10.5194/gmd-14-6781-2021
786. Evaluating Cumulus Parameterization Schemes for the Simulation of Arabian Peninsula Winter Rainfall R. Attada et al. https://doi.org/10.1175/JHM-D-19-0114.1
787. Evaluation of nitrogen oxides (NOx) sources and sinks and ozone production in Colombia and surrounding areas J. Barten et al. https://doi.org/10.5194/acp-20-9441-2020
788. Assessing the contribution of dynamical downscaling to austral autumn Northeast Brazil seasonal precipitation prediction performance J. Freire et al. https://doi.org/10.1016/j.cliser.2022.100321
789. Subseasonal Forecasting with an Icosahedral, Vertically Quasi-Lagrangian Coupled Model. Part II: Probabilistic and Deterministic Forecast Skill S. Sun et al. https://doi.org/10.1175/MWR-D-18-0007.1
790. Impact of Integrating LCZ Data into WRF/SLUCM on Simulating Urban Low-Altitude Winds Z. Dai et al. https://doi.org/10.1007/s13351-026-5108-7
791. Recent progress in atmospheric modeling over the Andes – part II: projected changes and modeling challenges C. Junquas et al. https://doi.org/10.3389/feart.2024.1427837
792. Hourly temporal downscaling of CMIP6 data for photovoltaic energy modelling under climate change: A case study for Portugal P. Montesino Fernández et al. https://doi.org/10.1016/j.ecmx.2026.101944
793. Investigating the sensitivity to resolving aerosol interactions in downscaling regional model experiments with WRFv3.8.1 over Europe V. Pavlidis et al. https://doi.org/10.5194/gmd-13-2511-2020
794. Impact of Tibetan Plateau Surface Heating on Persistent Extreme Precipitation Events in Southeastern China B. Wan et al. https://doi.org/10.1175/MWR-D-17-0061.1
795. Comparison of Biases in Warm-Season WRF Forecasts in North and South America J. Piersante et al. https://doi.org/10.1175/WAF-D-20-0062.1