18 citations as recorded by crossref.

1. Sensitivity analysis of convective and PBL parameterization schemes for Luban and Titli tropical cyclones S. Verma et al. https://doi.org/10.1007/s00704-022-04264-5
2. Convection-Permitting WRF Simulations of Tropical Cyclones Over the North Indian Ocean P. Mohan et al. https://doi.org/10.1007/s00024-022-02985-2
3. Assessing the Accuracy of the Cloud and Water Vapor Fields in the Hurricane WRF (HWRF) Model Using Satellite Infrared Brightness Temperatures J. Otkin et al. https://doi.org/10.1175/MWR-D-16-0354.1
4. Understanding the Role of Cloud and Convective Processes in Simulating the Weaker Tropical Cyclones over Indian Seas R. Kanase et al. https://doi.org/10.1007/s00024-014-0996-3
5. Satellite-Based Assessment of Various Cloud Microphysics Schemes in Simulating Typhoon Hydrometeors Y. Zhang et al. https://doi.org/10.1155/2019/3168478
6. Effect of physical parameterization schemes on track and intensity of cyclone LAILA using WRF model R. Kanase & P. Salvekar https://doi.org/10.1007/s13143-015-0071-8
7. Evaluation of convective parameterization schemes in simulation of tropical cyclones by Climate Forecast System model: Version 2 R. Kanase et al. https://doi.org/10.1007/s12040-020-01433-w
8. A comparative evaluation of impact of domain size and parameterization scheme on simulation of tropical cyclones in the Bay of Bengal P. Goswami & G. Mohapatra https://doi.org/10.1002/2013JD020592
9. Evaluation of Three Genesis Potential Indices for Tropical Cyclogenesis in the Arabian Sea: Two Case Studies Using WRF and ERA5 F. Ikram et al. https://doi.org/10.1175/MWR-D-22-0048.1
10. Association of Mesoscale Features With Tropical Cyclone Tauktae N. Umakanth et al. https://doi.org/10.1007/s41208-024-00740-z
11. Impact of physical parameterization schemes on track and intensity of severe cyclonic storms in Bay of Bengal R. Kanase & P. Salvekar https://doi.org/10.1007/s00703-015-0381-5
12. Impact of Cloud Microphysics Schemes on Tropical Cyclone Forecast Over the Western North Pacific J. Park et al. https://doi.org/10.1029/2019JD032288
13. Study of Weak Intensity Cyclones over Bay of Bengal Using WRF Model R. Kanase & P. Salvekar https://doi.org/10.4236/acs.2014.44049
14. Performance of WRF-ARW model in real-time prediction of Bay of Bengal cyclone ‘Phailin’ M. Mandal et al. https://doi.org/10.1007/s00024-015-1206-7
15. Impacts of Microphysics Schemes and Topography on the Prediction of the Heavy Rainfall in Western Myanmar Associated with Tropical Cyclone ROANU (2016) K. Maw & J. Min https://doi.org/10.1155/2017/3252503
16. A Comparison of Spectral Bin Microphysics versus Bulk Parameterization in Forecasting Typhoon In-Fa (2021) before, during, and after Its Landfall Y. Zhang et al. https://doi.org/10.3390/rs14092169
17. Sensitivity of Microphysical Schemes on the Simulation of Post-Monsoon Tropical Cyclones over the North Indian Ocean G. Venkata Rao et al. https://doi.org/10.3390/atmos11121297
18. Understanding the characteristics of microphysical processes in the rapid intensity changes of tropical cyclones over the Bay of Bengal Y. Nekkali et al. https://doi.org/10.1002/qj.4384