24 citations as recorded by crossref.

1. Predicting extreme rainfall events over Jeddah, Saudi Arabia: impact of data assimilation with conventional and satellite observations V. Yesubabu et al. https://doi.org/10.1002/qj.2654
2. A study on the evolutionary dynamics of North Indian Ocean tropical cyclones with varying lifespans I. Bhasi & J. Panda https://doi.org/10.1007/s00704-026-06629-6
3. An overview of tropical cyclone boundary layer (TCBL) modeling: From meteorological perspectives to wind engineering applications L. Hu & A. Kareem https://doi.org/10.1016/j.awe.2025.100097
4. Evaluating the impact of satellite radiance observations on the simulation of intense tropical cyclones over the Bay of Bengal on a convective permitting scale using a data assimilation technique T. K. & K. Singh https://doi.org/10.1007/s40808-025-02506-9
5. First steps towards an all-sky assimilation framework for tropical cyclone event over Bay of Bengal region: Evaluation and assessment of GMI radiances R. Mangla et al. https://doi.org/10.1016/j.atmosres.2021.105564
6. Impact of data assimilation and air−sea flux parameterization schemes on the prediction of cyclone Phailin over the Bay of Bengal using the WRF‐ARW model K. Singh & B. Tyagi https://doi.org/10.1002/met.1734
7. Satellite Radiance Data Assimilation Using the WRF-3DVAR System for Tropical Storm Dianmu (2021) Forecasts T. Thodsan et al. https://doi.org/10.3390/atmos13060956
8. The Performance of a High-Resolution WRF Modelling System in the Simulation of Severe Tropical Cyclones over the Bay of Bengal Using the IMDAA Regional Reanalysis Dataset T. Koteshwaramma et al. https://doi.org/10.3390/cli13010017
9. Storm surge prediction improvement using high resolution meso-scale model products over the Bay of Bengal S. Mohanty et al. https://doi.org/10.1007/s11069-023-06160-1
10. Impact of radiance data assimilation on the prediction performance of cyclonic storm SIDR using WRF-3DVAR modelling system K. Singh et al. https://doi.org/10.1007/s00703-017-0552-7
11. Prediction of landfalling Bay of Bengal cyclones during 2013 using the high resolution Weather Research and Forecasting model K. Singh & P. Bhaskaran https://doi.org/10.1002/met.1850
12. Role of background error statistics in the prediction of severe cyclonic storm over the Bay of Bengal using the WRF-3DVAR data assimilation system A. Thankachan & K. Singh https://doi.org/10.1016/j.asr.2025.07.095
13. Multivariate background error covariances in the assimilation of SAPHIR radiances in the simulation of three tropical cyclones over the Bay of Bengal using the WRF model M. Dhanya & A. Chandrasekar https://doi.org/10.1080/01431161.2017.1381350
14. Impact of Assimilating of Insat-3dr Sounder Radiances on the Simulation of Tropical Cyclone Amphan M. Shenoy et al. https://doi.org/10.2139/ssrn.4189448
15. Application of weather forecasting model WRF for operational electric power network management—a case study for Phailin cyclone B. Sahoo et al. https://doi.org/10.1007/s00704-018-2639-6
16. Development of extended WRF variational data assimilation system (WRFDA) for WRF non-hydrostatic mesoscale model S. Pattanayak & U. Mohanty https://doi.org/10.1007/s12040-018-0949-9
17. Impact of INSAT-3D satellite-derived wind in 3DVAR and hybrid ensemble-3DVAR data assimilation systems in the simulation of tropical cyclones over the Bay of Bengal R. Gogoi et al. https://doi.org/10.1007/s40808-021-01183-8
18. Pertaining the application of the 4DVar and 4DEnVar WRFDA techniques to simulate tropical cyclones in the Bay of Bengal G. Tiwari & P. Kumar https://doi.org/10.1016/j.asr.2023.03.015
19. An evaluation of digital filtering and 4DVar data assimilation in the WRF model towards the simulation of tropical cyclones G. Tiwari et al. https://doi.org/10.1016/j.asr.2024.02.004
20. Improvement of tropical cyclone prediction with vortex initialization in cyclic data assimilation using WRF model M. Shenoy et al. https://doi.org/10.1007/s11069-025-07721-2
21. Impact of ocean mixed‐layer depth initialization on the simulation of tropical cyclones over the Bay of Bengal using the WRF‐ARW model V. Yesubabu et al. https://doi.org/10.1002/met.1862
22. Numerical simulation of tropical cyclone thane: role of boundary layer and surface drag parameterization schemes M. Sateesh et al. https://doi.org/10.1007/s11069-017-3020-2
23. Role of Planetary Boundary Layer Processes in the Simulation of Tropical Cyclones Over the Bay of Bengal K. Vijaya Kumari et al. https://doi.org/10.1007/s00024-018-2017-4
24. Impact of SAPHIR radiances on the simulation of tropical cyclones over the Bay of Bengal using NCMRWF hybrid-4DVAR assimilation and forecast system D. Choudhury et al. https://doi.org/10.1007/s12040-020-01473-2