Abstract The National Hurricane Center issues analyses, forecasts, and warnings over large
parts of the North Atlantic and Pacific Oceans, and in support of many nearby countries …

At present, there is still a bottleneck in tropical cyclone (TC) forecasting due to its complex
dynamical mechanisms and various impact factors. Machine learning (ML) methods have …

Abadi, M., and Coauthors, 2016: TensorFlow: A system for large-scale machine learning.
Proc. 12th USENIX Conf. on Operating Systems Design and Implementation, Savannah, GA …

This article provides a review of tropical cyclone (TC) surface wind estimation from an
operational forecasting perspective. First, we provide a summary of operational forecast …

The history of meteorology has taught us that weather analysis and prediction usually
advances by a series of small, progressive studies. Occasionally, however, a special body of …

Tropical cyclones are becoming an increasing menace to society as populations grow in
coastal regions. Forecasting the intensity of these often-temperamental weather systems can …

Previous work, in which Advanced Microwave Sounding Unit (AMSU) data from the Atlantic
Ocean and east Pacific Ocean basins during 1999–2001 were used to provide objective …

Timely and accurate forecasts of tropical cyclones (TCs, ie, hurricanes and typhoons) are of
great importance for risk mitigation. Although in the past two decades there has been steady …

In this study, a set of deep convolutional neural networks (CNNs) was designed for
estimating the intensity of tropical cyclones (TCs) over the Northwest Pacific Ocean from the …

Extensive High-Resolution Synthetic Aperture Radar (SAR) Data Analysis of Tropical
Cyclones: Comparisons with SFMR Flights and Best Track in: Monthly Weather Review …