… developed an environment-dependent probabilistic TC model, … model components: a
hierarchical Poisson genesis model, an analog-wind track model, and a Markov intensity model, …

… we developed an environment-dependent probabilistic TC model, … model components: a
hierarchical Poisson genesis model, an analog-wind track model, and a Markov intensity model…

… Traditionally, purely statistical stochastic techniques were utilized to establish TC models
for investigation. These techniques identified the probability distributions of several critical TC …

… In this study, we investigate the response of tropical cyclones (TCs) to climate …
environment-dependent probabilistic tropical cyclone (PepC) model and a statistical-deterministic …

… 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 …

… probabilistic tropical cyclone (TC) full track simulation method empowered by the diffusion
generative model… capability to process high-dimensional space, our model naturally considers …

… of a probabilistic rainfall generator for tropical cyclones (TCs) affecting Louisiana. We consider
12 storms … is to generate storm total rainfall via a parametric TC rainfall model. Among the …

… to form a complete TC generation system. This TC generation system is called PepC,
short for Princeton environment-dependent probabilistic tropical cyclone model. The genesis …

… storm intensity lower than 17.5 ms −1 (tropical storm intensity) for Stage IV observations and
TCR simulation, … CHIPS (PepC) model based on the marginal probability distribution. CHIPS-…

… environment-dependent probabilistic model (PepC, Jing & Lin, 2020). We choose these
two existing approaches as they are both environment dependent and have distinct model …