G Tiwari, P Kumar, P Tiwari - Frontiers in Earth Science, 2022 - frontiersin.org
This study aims to provide a comprehensive and balanced assessment of recent scientific studies on the evolution, temporal variability and prediction of tropical cyclones (TCs) …
Current spaceborne wind scatterometers have shown failure due to mechanical wear from moving parts used to conically scan a directive beam. In order to eliminate the risk of …
The present study discusses the application of near real-time ocean surface wind vectors retrieved from scatterometer instrument, on-board Indian polar satellite SCATSAT-1, for …
This article proposes a deep learning model to predict tropical cyclogenesis (TCG) from gridded satellite and ERA5 reanalysis data in the western North Pacific basin. The proposed …
The present study elucidates the correspondence between the variability in TC radial parameters and related meteorological factors over the North Indian Ocean (NIO) basin by …
S Wang, KV Yuen, X Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article proposed a graphical and statistical features-based broad learning system (GSF- BLS) to detect tropical cyclogenesis with the cross-calibrated multiplatform version 2.0 …
S Kumar, J Panda, D Paul, I Bhasi - Atmospheric Research, 2024 - Elsevier
The structural characteristics of North Indian Ocean (NIO) Tropical Cyclones (TCs) are emphasized in this study by adopting Weather Research and Forecasting (WRF) numerical …
The climatology and numerical modeling of tropical cyclones (TCs) both are the primary focus area of research over the North Indian Ocean (NIO); however, the size determination …