Tropical cyclone intensity classification and estimation using infrared satellite images with deep learning

CJ Zhang, XJ Wang, LM Ma… - IEEE Journal of Selected …, 2021 - ieeexplore.ieee.org
A novel tropical cyclone (TC) intensity classification and estimation model (TCICENet) is
proposed using infrared geostationary satellite images from the northwest Pacific Ocean …

The appraisal of tropical cyclones in the North Indian Ocean: An overview of different approaches and the involvement of Earth's components

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) …

3-D-printed shaped and material-optimized lenses for next-generation spaceborne wind scatterometer weather radars

A Papathanasopoulos, J Budhu… - … on Antennas and …, 2021 - ieeexplore.ieee.org
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 …

SCATSAT-1 wind products for tropical cyclone monitoring, prediction and surface wind structure analysis

N Jaiswal, P Kumar, CM Kishtawal - Current Science, 2019 - JSTOR
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 …

Predicting tropical cyclogenesis using a deep learning method from gridded satellite and ERA5 reanalysis data in the Western North Pacific basin

R Zhang, Q Liu, R Hang, G Liu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

Impact of environmental variables on the North Indian Ocean tropical cyclones radial parameters

S Kumar, J Panda, D Paul, BK Guha - Climate Dynamics, 2023 - Springer
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 …

Tropical Cyclogenesis Detection from Remotely Sensed Sea Surface Winds Using Graphical and Statistical Features-based Broad Learning System

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 …

A study on radial characteristics of North Indian Ocean tropical cyclones and associated energy indices through numerical modeling

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 …

Structural characteristics of North Indian Ocean tropical cyclones during 1999–2017: a scatterometer observation-based analysis

S Kumar, J Panda, K Singh, BK Guha… - Theoretical and Applied …, 2021 - Springer
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 …

[HTML][HTML] 红外卫星云图和相关向量机的有眼热带气旋客观定强模型

戴李杰, 张长江, 薛利成, 马雷鸣, 鲁小琴 - 2018 - html.rhhz.net
摘要热带气旋TC (Tropical Cyclone) 是全球影响最严重的自然灾害之一. TC
强度和路径的准确预报, 对于减轻其带来的灾害影响至关重要. 本文基于静止红外卫星云图和 …