179 citations as recorded by crossref.

1. Remote Sensing Observations of Thunderstorm Features in Latvia Z. Avotniece et al. https://doi.org/10.1515/rtuect-2017-0014
2. Uncertainty from the choice of microphysics scheme in convection-permitting models significantly exceeds aerosol effects B. White et al. https://doi.org/10.5194/acp-17-12145-2017
3. Sensitivity Study of WRF Model at Different Horizontal Resolutions for the Simulation of Low-Level, Mid-Level and High-Level Wind Speeds in Hebei Province N. Zhao et al. https://doi.org/10.3390/atmos16070891
4. Role of PBL and Microphysical Parameterizations During WRF Simulated Monsoonal Heavy Rainfall Episodes Over Mumbai S. Verma et al. https://doi.org/10.1007/s00024-021-02813-z
5. Simulation Study of Microphysical and Electrical Processes of a Thunderstorm in Sichuan Basin Z. Guo et al. https://doi.org/10.3390/atmos14030574
6. Analysing the characteristic features of a pre-monsoon thunderstorm event over Pune, India, using ground-based observations and WRF model P. Leena et al. https://doi.org/10.1007/s12040-019-1136-3
7. Sensitivity analysis of microphysics and cumulus parameterization schemes: numerical simulation of cloudbursts over Uttarakhand using WRF modeling system H. Devan et al. https://doi.org/10.1007/s00704-023-04708-6
8. Sensitivity of simulated rainfall, lightning, and thermodynamic structure of a pre-monsoon thunderstorm over Hyderabad to cloud microphysics schemes in WRF N. Umakanth et al. https://doi.org/10.1007/s12040-026-02877-2
9. East-west coastal asymmetry in the summertime near surface wind speed and its projected change in future climate over the Indian region U. Saha et al. https://doi.org/10.1016/j.gloplacha.2017.03.001
10. WRF-based simulation of an extreme precipitation event over the Central Himalayas: Atmospheric mechanisms and their representation by microphysics parameterization schemes R. Karki et al. https://doi.org/10.1016/j.atmosres.2018.07.016
11. Impacts of a warming marginal sea on torrential rainfall organized under the Asian summer monsoon A. Manda et al. https://doi.org/10.1038/srep05741
12. A comparative study of severe thunderstorm among statistical and ANN methodologies S. Bhattacharya & H. Bhattacharyya https://doi.org/10.1038/s41598-023-38736-z
13. Generating high-resolution climate data in the Andes using artificial intelligence: A lightweight alternative to the WRF model C. Carhuancho et al. https://doi.org/10.1016/j.aiig.2025.100143
14. Variability of monsoon low‐level jet and associated rainfall over India Y. Viswanadhapalli et al. https://doi.org/10.1002/joc.6256
15. Improving thunderstorm and lightning prediction using a novel hybrid index and machine learning techniques: a case study in Northeast India G. Sawaisarje et al. https://doi.org/10.1007/s00703-025-01080-0
16. Evaluation and Usefulness of Lightning Forecasts Made with Lightning Parameterization Schemes Coupled with the WRF Model G. Vani K. et al. https://doi.org/10.1175/WAF-D-21-0080.1
17. Evaluation of rain and cloud microphysical properties of monsoon depressions at a hyperlocal scale from simulations and observations A. Sisodiya & S. Pattnaik https://doi.org/10.1007/s00703-021-00807-z
18. Assimilation of Doppler Weather Radar Data in WRF Model for Simulation of Tropical Cyclone Aila K. Srivastava & R. Bhardwaj https://doi.org/10.1007/s00024-013-0723-5
19. Relative impacts of land use and climate change on summer precipitation in the Netherlands E. Daniels et al. https://doi.org/10.5194/hess-20-4129-2016
20. Assessment of WRF model simulations of extreme rainfall events in West Africa: a comprehensive review A. Onyejuruwa et al. https://doi.org/10.1007/s10661-025-13932-8
21. Lightning Potential Index performances in multimicrophysical cloud‐resolving simulations of a back‐building mesoscale convective system: The Genoa 2014 event M. Lagasio et al. https://doi.org/10.1002/2016JD026115
22. A Statistical Retrieval of Cloud Parameters for the Millimeter Wave Ice Cloud Imager on Board MetOp-SG D. Wang et al. https://doi.org/10.1109/ACCESS.2016.2625742
23. Effect of Single and Double Moment Microphysics Schemes and Change in Cloud Condensation Nuclei, Latent Heating Rate Structure Associated with Severe Convective System over Korean Peninsula A. Madhulatha et al. https://doi.org/10.3390/atmos14111680
24. Middle atmospheric structure, dynamics, and coupling from three decades of Indian MST radar and complimentary observations: An overview M. Venkat Ratnam https://doi.org/10.1016/j.asr.2023.05.046
25. Simulation study of heavy rainfall episodes over the southern Indian peninsula G. Agnihotri & A. Dimri https://doi.org/10.1002/met.1446
26. The Impact of High-Resolution SRTM Topography and Corine Land Cover on Lightning Calculations in WRF A. de Meij et al. https://doi.org/10.3390/atmos13071050
27. Investigation of Cloud Microphysical Features During the Passage of a Tropical Mesoscale Convective System: Numerical Simulations and X-Band Radar Observations S. Das et al. https://doi.org/10.1007/s00024-020-02622-w
28. Simulation of premonsoon thunderclouds over two climatic regimes: evaluation and dichotomous detection R. Biswasharma et al. https://doi.org/10.1016/j.atmosres.2025.108027
29. Evaluation of convective cloud microphysics in numerical weather prediction models with dual-wavelength polarimetric radar observations: methods and examples G. Köcher et al. https://doi.org/10.5194/amt-15-1033-2022
30. Revisiting extreme storms of the past 100 years for future safety of large water management infrastructures X. Chen & F. Hossain https://doi.org/10.1002/2016EF000368
31. Impact of urban sprawls on thunderstorm episodes: Assessment using WRF model over central-national capital region of India A. Sati & M. Mohan https://doi.org/10.1016/j.uclim.2021.100869
32. 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
33. 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
34. Satellite-Based Assessment of Various Cloud Microphysics Schemes in Simulating Typhoon Hydrometeors Y. Zhang et al. https://doi.org/10.1155/2019/3168478
35. Performance of a novel NWP–AI hybrid lightning early warning system over Indian Subcontinent R. Sarkar et al. https://doi.org/10.1007/s12040-024-02470-5
36. Thunderstorm prediction over Eastern state of India during pre-monsoon season in 2018 using artificial neural network model N. Vanganuru et al. https://doi.org/10.1007/s00704-025-05460-9
37. Nowcasting severe convective activity over southeast India using ground‐based microwave radiometer observations A. Madhulatha et al. https://doi.org/10.1029/2012JD018174
38. Diagnosing added value of convection-permitting regional models using precipitation event identification and tracking W. Chang et al. https://doi.org/10.1007/s00382-018-4294-0
39. Understanding the impact of ice nucleation on lightning and rainfall: A case study A. Hazra et al. https://doi.org/10.1016/j.atmosres.2022.106350
40. Improved simulation of thunderstorm characteristics and polarimetric signatures with LIMA two-moment microphysics in AROME C. David et al. https://doi.org/10.5194/amt-18-3715-2025
41. Sensitivity of WRF Precipitation Simulations to Microphysics and Cumulus Parameterizations: A Case Study of an Extreme Rainfall Event over Alabama G. El Afandi et al. https://doi.org/10.3390/cli14110229
42. Land surface‐precipitation feedback analysis for a landfalling monsoon depression in the Indian region H. Baisya et al. https://doi.org/10.1002/2016MS000829
43. Influence of cloud microphysics schemes on weather model predictions of heavy precipitation G. Köcher et al. https://doi.org/10.5194/acp-23-6255-2023
44. Vertical structure of atmosphere in pre-monsoon season over Bangalore G. AGNIHOTRI & A. DIMRI https://doi.org/10.1007/s12040-015-0612-7
45. Performance of multi-physics ensembles in convective precipitation events over northeastern Spain E. García-Ortega et al. https://doi.org/10.1016/j.atmosres.2017.02.009
46. WRF simulation of the heavy rainfall over Metropolitan Manila, Philippines during tropical cyclone Ketsana: a sensitivity study F. Cruz & G. Narisma https://doi.org/10.1007/s00703-015-0425-x
47. Model simulations of heavy precipitation in Kashmir, India, in September 2014 S. Kar & S. Tiwari https://doi.org/10.1007/s11069-015-2073-3
48. 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
49. Relationship between TTI and Various Thunderstorm Related Parameters over Kerala, India N. Umakanth et al. https://doi.org/10.1007/s00024-024-03617-7
50. Impact of different microphysical parameterizations on extreme snowfall events in the Southern Andes A. Comin et al. https://doi.org/10.1016/j.wace.2018.07.001
51. Climate Change Projection and Its Impacts on Building Façades in Singapore L. Chew et al. https://doi.org/10.3390/su15043156
52. Investigation of vertical wind characteristics of convection over a tropical location R. Meenu et al. https://doi.org/10.1016/j.atmosres.2025.108441
53. 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
54. Unveiling India’s lightning patterns through satellite-based climatology and numerical modelling of severe weather events: A review U. Mondal et al. https://doi.org/10.1007/s12040-024-02491-0
55. Performance of WRF double-moment microphysics schemes in simulating pre-monsoon rainfall across diverse coastal climatic regions of India N. Umakanth et al. https://doi.org/10.1016/j.atmosres.2026.108860
56. Sensitivity studies with the regional climate model COSMO-CLM 5.0 over the CORDEX Central Asia Domain E. Russo et al. https://doi.org/10.5194/gmd-12-5229-2019
57. Rainfall types in the lifecycle of a stationary cloud cluster during the Indian Summer Monsoon: An investigation with numerical simulations and radar observation S. Samanta et al. https://doi.org/10.1016/j.atmosres.2021.105794
58. Role of cloud microphysics and energetics in regulating different phases of the monsoon low‐pressure systems over the Indian region V. Hazra & S. Pattnaik https://doi.org/10.1002/qj.4396
59. Influence of various land surface parameterization schemes on the simulation of Western Disturbances L. Thomas et al. https://doi.org/10.1002/met.1386
60. Regional water-energy cycle response to land use/cover change in the agro-pastoral ecotone, Northwest China X. Wang et al. https://doi.org/10.1016/j.jhydrol.2019.124246
61. 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
62. Spatio-temporal variations of lightning activity over Nepal's complex terrain: Links to altitude and meteorological factors P. Karki et al. https://doi.org/10.1016/j.jastp.2025.106615
63. Characteristics of extreme rainfall from warm clouds associated with a mesoscale convective system: sensitivity of different microphysical and cumulus parameterization schemes B. Radhakrishna et al. https://doi.org/10.1007/s00704-024-05311-z
64. Sensitivity analysis of cumulus parameterization scheme and data sources to simulate thunderstorms over Bangladesh using WRF model M. Mozammel Hoque et al. https://doi.org/10.1016/j.asr.2024.08.013
65. Analysis of WRF Model Wind Estimate Sensitivity to Physics Parameterization Choice and Terrain Representation in Andalusia (Southern Spain) F. Santos-Alamillos et al. https://doi.org/10.1175/JAMC-D-12-0204.1
66. Evaluating the performances of cloud microphysical parameterizations in WRF for the heavy rainfall event of Kerala (2018) T. Chakraborty et al. https://doi.org/10.1007/s00703-021-00776-3
67. Thermodynamical and cloud microphysical response during the transition from southwest to northeast monsoon S. Nair et al. https://doi.org/10.1016/j.atmosres.2015.06.018
68. Numerical simulation and sensitivity study of a severe hailstorm over Istanbul E. Toker et al. https://doi.org/10.1016/j.atmosres.2020.105373
69. Simulation of Latent Heating Rate From the Microphysical Process Associated With Mesoscale Convective System Over Korean Peninsula A. Madhulatha et al. https://doi.org/10.1029/2022EA002419
70. Evaluation of the Performance of the WRF Model in a Hyper-Arid Environment: A Sensitivity Study R. Abida et al. https://doi.org/10.3390/atmos13060985
71. Evaluating and comparison of WRF-chem model configurations for wind field impact on the April 2022 dust episode in western Iran E. Hassan et al. https://doi.org/10.1016/j.atmosenv.2024.120892
72. Seasonal dependent suitability of physical parameterizations to simulate precipitation over the Himalayan headwater A. Dixit et al. https://doi.org/10.1038/s41598-023-31353-w
73. Sensitivity studies of cloud microphysical schemes of WRF-ARW model in the simulation of trailing stratiform squall lines over the Gangetic West Bengal region S. Dawn & A. Satyanarayana https://doi.org/10.1016/j.jastp.2020.105396
74. Effect of the better representation of the cloud ice-nucleation in WRF microphysics schemes: A case study of a severe storm in India M. Halder et al. https://doi.org/10.1016/j.atmosres.2014.10.022
75. Enhanced prediction of premonsoon thunderstorms over eastern India through assimilation of INSAT‐3D sounding data K. Priya et al. https://doi.org/10.1002/qj.4665
76. Performance Evaluation of PBL Schemes of ARW Model in Simulating Thermo-Dynamical Structure of Pre-Monsoon Convective Episodes over Kharagpur Using STORM Data Sets S. Madala et al. https://doi.org/10.1007/s00024-015-1210-y
77. 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
78. Observational aspects of tropical mesoscale convective systems over southeast India A. Madhulatha et al. https://doi.org/10.1007/s12040-019-1300-9
79. Convection‐generated high‐frequency gravity waves as observed by MST radar and simulated by WRF model over the Indian tropical station of Gadanki P. Ghosh et al. https://doi.org/10.1002/qj.2887
80. Cloud resolving simulation of extremely heavy rainfall event over Kerala in August 2018 – Sensitivity to microphysics and aerosol feedback B. Thomas et al. https://doi.org/10.1016/j.atmosres.2021.105613
81. Assessment of the Efficacy of Lightning Forecast Over India: A Diagnostic Study A. Sandeep et al. https://doi.org/10.1007/s00024-020-02627-5
82. Dynamic downscaling over western Himalayas: Impact of cloud microphysics schemes S. Tiwari et al. https://doi.org/10.1016/j.atmosres.2017.10.007
83. Influences of the Monsoon Trough and Arabian Heat Low on Summer Rainfall over the United Arab Emirates D. Steinhoff et al. https://doi.org/10.1175/MWR-D-17-0296.1
84. Extreme rainfall event in the Northeast coast of Brazil: a numerical sensitivity study A. Comin et al. https://doi.org/10.1007/s00703-020-00747-0
85. The diagnosis of severe thunderstorms with high-resolution WRF model A. Litta et al. https://doi.org/10.1007/s12040-012-0165-y
86. The diurnal cycle of the lightning potential index over the Mexican tropical continental region during tropical cyclone Bud J. Clouthier‐Lopez et al. https://doi.org/10.1002/asl.1119
87. Differences in the raindrop size distributions of pre-monsoon thunderstorms and tropical cyclones observed over eastern India A. Shrivastava et al. https://doi.org/10.1016/j.atmosres.2025.108456
88. Advances towards the development of a cloud-resolving model in South Africa M. Bopape et al. https://doi.org/10.1590/sajs.2014/20130133
89. Evaluating lightning forecasts of a convective scale ensemble prediction system over India S. Prasad et al. https://doi.org/10.1007/s00704-024-04880-3
90. Assessment of the Weather Research and Forecasting (WRF) model for simulation of extreme rainfall events in the upper Ganga Basin I. Chawla et al. https://doi.org/10.5194/hess-22-1095-2018
91. Simulation of a heavy rainfall event over Chennai in Southeast India using WRF: Sensitivity to microphysics parameterization P. Reshmi Mohan et al. https://doi.org/10.1016/j.atmosres.2018.04.005
92. Analysis of Pre-Monsoon Convective Systems over a Tropical Coastal Region Using C-Band Polarimetric Radar, Satellite and Numerical Simulation D. Jash et al. https://doi.org/10.3390/atmos13091349
93. Simulations over South Asia using the Weather Research and Forecasting model with Chemistry (WRF-Chem): set-up and meteorological evaluation R. Kumar et al. https://doi.org/10.5194/gmd-5-321-2012
94. Performance evaluation of PBL and cumulus parameterization schemes of WRF ARW model in simulating severe thunderstorm events over Gadanki MST radar facility — Case study S. Madala et al. https://doi.org/10.1016/j.atmosres.2013.12.017
95. Long-term variability of extreme precipitation with WRF model at a complex terrain River Basin Y. Zhang et al. https://doi.org/10.1038/s41598-024-84076-x
96. Improvements in the prediction of extreme rainfall events with nested high-resolution rapid refresh modelling system over the Indian Himalayan region K. Hari Prasad et al. https://doi.org/10.1016/j.atmosres.2025.108191
97. Satellite Based Interpretation of Stability Parameters on Convective Systems over India and Srilanka N. Umakanth et al. https://doi.org/10.5572/ajae.2020.14.2.119
98. Assimilating Cloud Water Path as a Function of Model Cloud Microphysics in an Idealized Simulation T. Jones & D. Stensrud https://doi.org/10.1175/MWR-D-14-00266.1
99. Analysis of WRF Model Performance over Subtropical Region of Delhi, India M. Mohan & S. Bhati https://doi.org/10.1155/2011/621235
100. Identification of the Asian summer monsoon anticyclone based on tropical easterly and subtropical westerly jets during active and break phases P. Musaid et al. https://doi.org/10.1002/joc.8580
101. Evaluations of WRF Sensitivities in Surface Simulations with an Ensemble Prediction System L. Pan et al. https://doi.org/10.3390/atmos9030106
102. Simulation of severe thunder storm event: a case study over Pune, India S. Fadnavis et al. https://doi.org/10.1007/s11069-014-1047-1
103. WRF simulation of a severe hailstorm over Baramati: a study into the space–time evolution B. Murthy et al. https://doi.org/10.1007/s00703-017-0516-y
104. 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
105. Investigation of WRF’s ability to simulate the monsoon-related seasonal variability in the thermodynamics and precipitation over southern peninsular India A. Ragi et al. https://doi.org/10.1007/s00704-020-03240-1
106. Simulation of monsoon intraseasonal variability in NCEP CFSv2 and its role on systematic bias B. Goswami et al. https://doi.org/10.1007/s00382-014-2089-5
107. Microphysical processes and hydrometeor distributions associated with thunderstorms over India: WRF (cloud-resolving) simulations and validations using TRMM M. Halder & P. Mukhopadhyay https://doi.org/10.1007/s11069-016-2365-2
108. Evaluating the Impact of the Planetary Boundary Layer on Dynamics of Urban Thunderstorms Over the Eastern Indian Region K. Lakshman et al. https://doi.org/10.1002/met.70123
109. Investigation of moist thermodynamical processes of a tropical thunderstorm using 205 MHz VHF radar and WRF model A. Shaji et al. https://doi.org/10.1007/s40808-024-01997-2
110. Study of Mesoscale Convective System and its Associated Cloud Structure over Indian Region Using Satellite Observations and Model Simulations A. Shukla et al. https://doi.org/10.1007/s12524-022-01573-0
111. Short-Range Prediction of Monsoon Precipitation by NCMRWF Regional Unified Model with Explicit Convection A. Mamgain et al. https://doi.org/10.1007/s00024-017-1754-0
112. Prediction of heavy rainfall over Chennai Metropolitan City, Tamil Nadu, India: Impact of microphysical parameterization schemes K. Singh et al. https://doi.org/10.1016/j.atmosres.2017.11.028
113. Convection-based assessment of pre-monsoon season instability indices over Chandigarh and Ladakh regions, India R. Koutavarapu et al. https://doi.org/10.1007/s12517-022-09854-1
114. Assessment of WRF-ARW model parameterization schemes for extreme heavy precipitation events associated with atmospheric rivers over West Coast of India D. Douluri & A. Chakraborty https://doi.org/10.1016/j.atmosres.2020.105330
115. Pre-monsoon convective events and thermodynamic features of southwest monsoon onset over Kerala, India – A case study T. Anna Mathew et al. https://doi.org/10.1016/j.atmosres.2020.105218
116. Numerical diagnosis of situations causing heavy rainfall over the Western Himalayas A. Sarkar et al. https://doi.org/10.1007/s40808-017-0310-3
117. Simulation of a heavy rainfall event during southwest monsoon using high-resolution NCUM-modeling system: a case study D. Dutta et al. https://doi.org/10.1007/s00703-018-0619-0
118. Exacerbation of lightning activity during Indian summer monsoon season over India: Estimation of cloud‐to‐ground lightning activity in wet and dry convective regimes R. Ghosh et al. https://doi.org/10.1002/qj.70007
119. Sensitivity Analysis of the WRF Model to Simulate Precipitation in the Metropolitan Area of the Valley of Mexico for the Period June-September 2019 I. Uribe et al. https://doi.org/10.1590/0102-77863910042
120. Different microphysics parameterizations of hydrometeor pathways in WRF simulation: A case of two high rainfall events in Nigeria A. Onyejuruwa et al. https://doi.org/10.1016/j.jastp.2025.106455
121. Study of cloud microphysical properties over India during CAIPEEX using a mesoscale model with new cloud microphysical scheme—Part I A. Hazra et al. https://doi.org/10.1016/j.jastp.2012.11.010
122. Understanding the sensitivity of WRF hindcast of Beijing extreme rainfall of 21 July 2012 to microphysics and model initial time M. Tewari et al. https://doi.org/10.1016/j.atmosres.2022.106085
123. Variation in Radar Reflectivity Slopes in the Lower Troposphere at the West Coast of India During Pre-Monsoon and Monsoon Seasons Using Ground-Based C-Band Radar S. Kumar https://doi.org/10.3390/meteorology5020015
124. All-sky infrared radiance data assimilation of FY-4A AGRI with different physical parameterizations for the prediction of an extremely heavy rainfall event D. Xu et al. https://doi.org/10.1016/j.atmosres.2023.106898
125. Concurrent Sensitivities of an Idealized Deep Convective Storm to Parameterization of Microphysics, Horizontal Grid Resolution, and Environmental Static Stability H. Morrison et al. https://doi.org/10.1175/MWR-D-14-00271.1
126. A 15‐year hail streak climatology for the Alpine region L. Nisi et al. https://doi.org/10.1002/qj.3286
127. Preliminary Application of a Multi-Physical Ensemble Transform Kalman Filter in Cloud and Precipitation Forecasts Q. Mei et al. https://doi.org/10.3390/atmos13091359
128. Sensitivity of WRF multiple parameterization schemes to extreme precipitation event over the Poyang Lake Basin of China C. Deng et al. https://doi.org/10.3389/fenvs.2022.1102864
129. Performance Optimization of Operational WRF Model Configured for Indian Monsoon Region P. Andraju et al. https://doi.org/10.1007/s41748-019-00092-2
130. 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
131. Comparing urban canopy models for microclimate simulations in Weather Research and Forecasting Models Z. Jandaghian & U. Berardi https://doi.org/10.1016/j.scs.2020.102025
132. Diurnal cycle of convection during the CAIPEEX 2011 experiment E. Resmi et al. https://doi.org/10.1007/s00704-015-1595-7
133. Climatology of thermodynamic indices and background synoptic conditions responsible for severe convection during pre‐ to post‐monsoon seasons over Indian region A. Madhulatha et al. https://doi.org/10.1002/joc.8471
134. Prediction of lightning events over Bangladesh: A machine learning perspective K. Saha et al. https://doi.org/10.1016/j.jastp.2025.106448
135. Impact of cloud microphysics and cumulus parameterization on simulation of heavy rainfall event during 7–9 October 2007 over Bangladesh M. MAHBUB ALAM https://doi.org/10.1007/s12040-013-0401-0
136. A diagnostic study of cloud physics and lightning flash rates in a severe pre‐monsoon thunderstorm over northeast India B. Choudhury et al. https://doi.org/10.1002/qj.3773
137. Land use land cover representation through supervised machine learning methods: sensitivity on simulation of urban thunderstorms in the east coast of India K. Priya et al. https://doi.org/10.1007/s11069-022-05674-4
138. Evaluating the role of microphysical schemes in a cloud-resolving scale on simulation of heavy rainfall events near the coastal region of southern India K. Chanchal & K. Singh https://doi.org/10.1007/s40808-025-02595-6
139. 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
140. Influence of cumulus convection and cloud microphysics parameterizations on the prediction of Western Disturbances A. Sarkar et al. https://doi.org/10.1007/s00703-019-00697-2
141. Numerical simulation of severe local storms over east India using WRF-NMM mesoscale model A. Litta et al. https://doi.org/10.1016/j.atmosres.2012.04.015
142. Numerical simulations of Mediterranean heavy precipitation events with the WRF model: A verification exercise using different approaches F. Cassola et al. https://doi.org/10.1016/j.atmosres.2015.05.010
143. Assessing the performance of WRF model in simulating severe hailstorm events over Assam and Bihar, India . Bhavyasree et al. https://doi.org/10.1007/s40808-024-02114-z
144. Sensitivity of WRF Cloud Microphysics to Simulations of a Convective Storm Over the Nepal Himalayas R. Shrestha et al. https://doi.org/10.2174/1874282301711010029
145. Assessing the performance of WRF ARW model in simulating heavy rainfall events over the Pune region: in support of operational applications V. Valappil et al. https://doi.org/10.1007/s00703-023-00952-7
146. Synoptic flow patterns and large-scale characteristics of flash flood-producing rainstorms over northeast Bangladesh M. Das et al. https://doi.org/10.1007/s00703-019-00709-1
147. Cascade sensitivity tests to model deep convective systems in complex orography with WRF F. Ferrari et al. https://doi.org/10.1016/j.atmosres.2023.106964
148. Assessment of WRF microphysics schemes in simulation of extreme precipitation events based on microwave radiative signatures Y. Choi et al. https://doi.org/10.1080/01431161.2018.1488288
149. Evaluation of the effects of a multiphysics ensemble on the simulation of an extremely hot summer in 2003 over the CORDEX‐EA‐II region L. Yang et al. https://doi.org/10.1002/joc.6028
150. Artificial Neural Network Model in Prediction of Meteorological Parameters during Premonsoon Thunderstorms A. Litta et al. https://doi.org/10.1155/2013/525383
151. Numerical simulation of a widespread lightning event over north India using an ensemble of WRF modeling configurations A. Kumar et al. https://doi.org/10.1016/j.jastp.2022.105984
152. The WRF Simulation Influence of Assimilating GNSS Water Vapor and Parameterization Schemes on Typhoon Rumbia L. Li et al. https://doi.org/10.3390/atmos15030255
153. The role of atmospheric forcings and WRF physical set-up on convective initiation over Córdoba, Argentina M. Alvarez Imaz et al. https://doi.org/10.1016/j.atmosres.2020.105335
154. Role of land surface processes in convection using the WRF model: a high-resolution case study over the Indian subcontinent D. Kanaujia et al. https://doi.org/10.1007/s00703-026-01159-2
155. Numerical simulation and analysis of the April 2013 Chicago Floods E. Campos & J. Wang https://doi.org/10.1016/j.jhydrol.2015.09.004
156. 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
157. Impact of Different Nesting Methods on the Simulation of a Severe Convective Event Over South Korea Using the Weather Research and Forecasting Model A. Madhulatha et al. https://doi.org/10.1029/2020JD033084
158. Simulation of an extreme heavy rainfall event over Chennai, India using WRF: Sensitivity to grid resolution and boundary layer physics C. Srinivas et al. https://doi.org/10.1016/j.atmosres.2018.04.014
159. Impact of physical parameterizations on wind simulation with WRF V3.9.1.1 under stable conditions at planetary boundary layer gray-zone resolution: a case study over the coastal regions of North China E. Yu et al. https://doi.org/10.5194/gmd-15-8111-2022
160. Uncertainties in simulating central Asia: Sensitivity to physical parameterizations using Weather Research and Forecasting model Y. Wang et al. https://doi.org/10.1002/joc.6567
161. Simulation of ozone formation at different elevations in mountainous area of Hong Kong using WRF-CMAQ model N. Wang et al. https://doi.org/10.1016/j.scitotenv.2014.10.070
162. An investigation into the dominant cloud microphysical processes in extreme-rain-producing storms occurred on 7 May 2017 over Southern China J. Yin et al. https://doi.org/10.1016/j.atmosres.2024.107820
163. Assessing the performance of cloud microphysical parameterization over the Indian region: Simulation of monsoon depressions and validation with INCOMPASS observations V. Hazra et al. https://doi.org/10.1016/j.atmosres.2020.104925
164. Cloud microphysics sensitivity and predictability of a multi-day extreme rainfall event over the Indian Himalayas in convective-permitting simulations R. Saini et al. https://doi.org/10.1007/s00703-026-01169-0
165. Morphological and microphysical characteristics associated with the lifecycle of a stationary cloud cluster during the Indian Summer Monsoon: A comparative study with numerical simulations and radar observation S. Samanta et al. https://doi.org/10.1016/j.atmosres.2022.106464
166. Evaluating the Effect of Physics Schemes in WRF Simulations of Summer Rainfall in North West Iran S. Zeyaeyan et al. https://doi.org/10.3390/cli5030048
167. Unraveling the role of land use changes in shaping extreme rainfall in South India S. Renuka et al. https://doi.org/10.1002/qj.70072
168. 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
169. Multi-physics schema for sub-seasonal prediction of Indian summer monsoon M. Kaur et al. https://doi.org/10.1007/s00382-021-05926-2
170. Low-pressure systems and extreme precipitation in central India: sensitivity to temperature changes S. Sørland & A. Sorteberg https://doi.org/10.1007/s00382-015-2850-4
171. Impact of different parameterization schemes on simulation of mesoscale convective system over south-east India A. Madhulatha & M. Rajeevan https://doi.org/10.1007/s00703-017-0502-4
172. Physical and Dynamical Characteristics of Thunderstorms Over Bangladesh Based on Radar, Satellite, Upper-Air Observations, and WRF Model Simulations K. Rabbani et al. https://doi.org/10.1007/s00024-021-02847-3
173. Numerical simulation of cloud burst event on August 05, 2010, over Leh using WRF mesoscale model M. Sravana Kumar et al. https://doi.org/10.1007/s11069-012-0145-1
174. Evaluating different lightning parameterization schemes to simulate lightning flash counts over Maharashtra, India G. Mohan et al. https://doi.org/10.1016/j.atmosres.2021.105532
175. Response of Extreme Rainfall to Atmospheric Warming and Wetting: Implications for Hydrologic Designs Under a Changing Climate J. Zhang et al. https://doi.org/10.1029/2022JD038430
176. Development of a perfect prognosis probabilistic model for prediction of lightning over south-east India M. Rajeevan et al. https://doi.org/10.1007/s12040-012-0173-y
177. Skills of Thunderstorm Prediction by Convective Indices over a Metropolitan Area: Comparison of Microwave and Radiosonde Data M. Kulikov et al. https://doi.org/10.3390/rs12040604
178. GHI calculation sensitivity on microphysics, land- and cumulus parameterization in WRF over the Reunion Island A. De Meij et al. https://doi.org/10.1016/j.atmosres.2018.01.008
179. 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