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 …

Tropical cyclones (TCs) seriously endanger human life and the safety of property. Real-time
monitoring of TCs has been one of the focal points in meteorological studies. With the …

This paper presents the official release of the Digital Typhoon dataset, the longest typhoon
satellite image dataset for 40+ years aimed at benchmarking machine learning models for …

Existing techniques for satellite-based tropical cyclone (TC) intensity estimation involve an
explicit feature extraction step to model TC intensity on a set of relevant TC features or …

Accurate tropical cyclone (TC) intensity estimation is crucial for prediction and disaster
prevention. Currently, significant progress has been achieved for the application of …

The intensity of a tropical cyclone is correlated strongly to the damage it causes when it
makes landfall. Most of the time, tropical cyclones are located over the open ocean, where …

Abstract Tropical Cyclone Intensity Estimation (TIE) is a fundamental study subject for
tropical cyclone development, flood or landslide avoidance, etc. Despite considerable …

Automated prediction of hurricane intensity from satellite infrared imagery is a challenging
problem with implications in weather forecasting and disaster planning. In this work, a novel …

A Global Climatology of Tropical Cyclone Eyes in: Monthly Weather Review Volume 146
Issue 7 (2018) Jump to Content Jump to Main Navigation Logo Logo Logo Logo Logo Logo …

A technique to estimate tropical cyclone (TC) current intensity based on geostationary
satellite infrared window (IRW) and water vapor (WV) imagery is explored in this paper. First …