The international research program “ReNovRisk-CYCLONE”(RNR-CYC, 2017–2021)
directly involves 20 partners from 5 countries of the south-west Indian-Ocean. It aims at …

While the fundamental understanding of tropical cyclone (TC) movement is fairly mature,
notable advancements are still being made. This paper summarizes new concepts and …

This study proposes a machine learning approach to probabilistic forecasting of tropical
cyclone (TC) intensity. The earth system is complex and nonlinear, leading to inherent …

Tropical cyclones (TC) are one of the extreme disasters that have the most significant impact
on human beings. Unfortunately, intensity forecasting of TC has been a difficult and …

Numerical lake models are useful tools to study hydrodynamics in lakes, and are
increasingly applied to extreme weather events. However, little is known about the accuracy …

A complete understanding of the development of tropical cyclones (TC) remains elusive and
forecasting TC intensification remains challenging. This motivates further research into the …

Accurate prediction of tropical cyclone (TC) intensity is challenging due to the complex
physical processes involved. Here, we introduce a new TC intensity prediction scheme for …

Rotation in hurricane flows can significantly impact the dynamics and structure of the
turbulent boundary layer. Despite this unique feature of hurricane boundary layers, the …

Ensemble-based sensitivity analysis (ESA) has been widely applied to identifying and
investigating the sources of forecast uncertainty in tropical cyclone (TC) track. The standard …

Typhoons are some of the most serious natural disasters, and the key to disaster prevention
and mitigation is typhoon level classification. How to better use data of satellite cloud …