Factors Driving Intensification of Pre-Monsoon Tropical Cyclones Over the Bay of Bengal: A Comparative Study of Cyclones Fani and Yaas
Author:
Funder
New Venture Fund
Indian Institute of Technology Bhubaneswar
Ministry of Earth Sciences India
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12524-024-01930-1.pdf
Reference32 articles.
1. Baisya, H., Pattnaik, S., & Chakraborty, T. (2020). A coupled modeling approach to understand ocean coupling and energetics of tropical cyclones in the Bay of Bengal basin. Atmos Res Art, 105092. https://doi.org/10.1016/j.atmosres.2020.105092.
2. Banacos, P. C., & Schultz, D. M. (2005). The use of moisture flux convergence in forecasting convective initiation: Historical and operational perspectives. Wea Forecasting, 3, 351–366. https://doi.org/10.1175/waf858.1.
3. Cangialosi, J. P., Blake, E., DeMaria, M., Penny, A., Latto, A., Rappaport, E., & Tallapragada, V. (2020). Recent progress in Tropical Cyclone intensity forecasting at the National Hurricane Center. Wea Forecasting, 5, 1913–1922. https://doi.org/10.1175/waf-d-20-0059.1.
4. Chakraborty, T., Pattnaik, S., Jenamani, R. K., & Baisya, H. (2021). Evaluating the performances of cloud microphysical parameterizations in WRF for the heavy rainfall event of Kerala (2018). Meteorology and Atmospheric Physics, 3, 707–737. https://doi.org/10.1007/s00703-021-00776-3.
5. Duan, W., Yuan, J., Duan, X., & Feng, D. (2021). Seasonal Variation of Tropical Cyclone Genesis and the related large-scale environments: Comparison between the Bay of Bengal and Arabian Sea sub-basins. Atmosphere, 12(12), 1593. https://doi.org/10.3390/atmos12121593.
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