Results 51 to 60 of about 327 (141)

Retrograde waves in tropical cyclone inner-core

Tellus: Series A, Dynamic Meteorology and Oceanography, 2016
This study presents an extension of Kelvin's vortex wave model for the inner-core region of tropical cyclone-like vortices. By considering a more suitable approximation for tropical cyclones (TCs) for which the horizontal scale of the TC inner-core is ...
Chanh Kieu
doaj   +1 more source

Impact of Assimilating Aircraft Reconnaissance Observations on Tropical Cyclone Initialization and Prediction using Operational HWRF and GSI Ensemble-Variational Hybrid Data Assimilation [PDF]

, 2018
This study evaluates the impact of assimilating high-resolution, inner-core reconnaissance observations on tropical cyclone initialization and prediction in the 2013 version of the operational Hurricane Weather Research and Forecasting (HWRF) Model.
Kwon, In-Hyuk, Sippel, Jason A., Tong, Mingjing, Emily Liu, Kieu, Chanh, Zhang, Banglin, Mingjing Tong, In-Hyuk Kwon, Vijay Tallapragada, Tallapragada, Vijay, Jason A. Sippel, Wang, Weiguo, Banglin Zhang, Liu, Qingfu, Weiguo Wang, Liu, Emily, Ling, Yangrong, Qingfu Liu, Chanh Kieu, Yangrong Ling   +19 more
core   +2 more sources

Cascade Deep Learning With Physics Guidance for Typhoon Intensity Prediction

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Typhoons pose a significant threat to both human safety and economic stability. As a crucial metric for assessing their destructive potential, typhoon intensity (TI) prediction has become an important research focus, with numerous methods developed.
Zhengya Sun, Bojie Fan, Bo Yin, Jie Nie, Anan Liu   +4 more
wiley   +1 more source

Impact of Rapid‐Scan‐Based Dynamical Information From GOES‐16 on HWRF Hurricane Forecasts [PDF]

Journal of Geophysical Research: Atmospheres, 2020
AbstractObservations of dynamical information in the upper levels of tropical cyclones at high spatiotemporal resolutions are rare but very important to the analysis and prediction of the storm evolution and landfall impacts. These observations are now becoming routinely available from the new generation of geostationary weather satellites ...
Jinlong Li, Jun Li, Christopher Velden, Pei Wang, Timothy J. Schmit, Jason Sippel   +5 more
openaire   +1 more source

Structure of Boundary Layer Wind and Turbulence in Super Typhoon Ragasa and Typhoon Wipha During Landfall

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 18, 28 September 2026.
Abstract Boundary layer turbulence and vertical mixing exert great control over the structure and evolution of tropical cyclones (TCs). However, scaling and parameterizing them remains challenging due to their inherent complexity and limited observations.
Junyi He, Yucheng Xue, Feng Hu, Yikang Liu, Qiusheng Li, Honglong Yang, Pak Wai Chan   +6 more
wiley   +1 more source

Advancing Tropical Cyclone Intensity Forecasts Over the South China Sea With a Meteorology‐Aware and Attention‐Enhanced Deep Learning Model

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Accurate tropical cyclone (TC) intensity (TCI) prediction is critical for effective disaster preparedness. Although machine learning‐based weather prediction models demonstrate strong performance in simulating TC tracks, their TCI predictions show systematic biases.
Yuan Tang, Yu Zhang, Xun Li, Shifei Tu, Jianjun Xu, Shunqi Zeng, Duanzhou Shao, Jiazheng Hu, Qichang Tan, Junjie Feng, Xiwen Liang   +10 more
wiley   +1 more source

On the Onset Timing of Tropical Cyclone Rapid Intensification in the HWRF Model: Role of Upper Atmospheric Evolution

Tropical Cyclone Research and Review
The Hurricane Weather Research and Forecasting (HWRF) model has shown significant advancements in predicting tropical cyclone (TC) intensity and intensity changes over the past decades.
N.D. Manikanta, Sudheer Joseph, A.K. Das, Akhil Srivastava, Arun Sharma, T.M. Balakrishnan Nair, M. Mohapatra, M. Ravichandran, C.V. Naidu   +8 more
doaj   +1 more source

Sensitivity of Tropical Cyclone Forecasts to the Loss of Low Earth Orbit Satellite Observations

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 9, 16 May 2026.
Abstract Tropical cyclones are among the most destructive natural hazards, impacting millions of people worldwide each year. Accurate and timely forecasts are therefore essential for effective preparedness and risk mitigation. Forecast skill depends on both the performance of numerical weather prediction models and the observations assimilated into the
Isaac Moradi, Satya Kalluri, Vijay Tallapragada, Yanqiu Zhu   +3 more
wiley   +1 more source

Machine Learning Based Prediction of Tropical Cyclone Rapid Intensification in the Western North Pacific: Importance of Data Augmentation and Loss Function

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract In this study, we developed a TabNet‐based machine learning model to predict tropical cyclone (TC) rapid intensification (RI) in the Western North Pacific. The most significant challenge in predicting RI is the severe class imbalance between rapid and non‐rapid intensification cases, typically 4.2:1 ratio based on 1977–2021 records.
Sanghyeok An, Jiwon Jeong, Seok‐Woo Son, Hyungjun Kim, Jee‐Hoon Jeong, Jin‐Ho Yoon   +5 more
wiley   +1 more source

An investigation of the cyclogenesis forecast ability of the Basin-Scale HWRF model by invoking the GFDL Vortex Tracker

, 2017
The purpose of this project is to validate the capability of the basin-scale HWRF model to predict cyclogenesis events using the GFDL vortex tracker. To accomplish this, the data generated by the basin-scale HWRF for the 2015 hurricane season were used ...
Ko, Mu-Chieh
core   +2 more sources