Wenjun Jiang

Physics-informed 3D wind field reconstruction in the urban canopy from LiDAR observations

Wenjun Jiang, Taofeng Gu, J Junyi Zhang, Gang Hu et autres

hk, cn (code pays fourni par la source)

Spatially localized dimensionality reduction for storm surge analysis: a Non-negative Matrix Factorization framework for imputation, bias correction, and surrogate modeling

Xi Zhong, Wenjun Jiang, Antonia Sebastian, Alessandro Stocchino et autres

Accurate characterization of storm surge hazards relies on high-fidelity hydrodynamic simulations and coastal sensor networks that together generate massive, high-dimensional datasets; yet these resources frequently suffer from incomplete spatial coverage, sparse observational records, and high dimensionality. Traditional dimensionality reduction techniques, such as …

hk, us (code pays fourni par la source)

Towards high-fidelity urban wind profiles for the built environment: a neural field to fuse multi-source observational data in Guangzhou, China

Taofeng Gu, Yang Liang, Yangtian Yan, Wenjun Jiang et autres

cn, hk (code pays fourni par la source)

Deep probabilistic modeling of environment-dependent tropical cyclone intensity evolution using Flow generative models

Wenjun Jiang, Xi Zhong, Jize Zhang, Ahsan Kareem

hk, us (code pays fourni par la source)

Towards high-fidelity urban wind profiles for the built environment: a Neural Field approach to fuse multi-source observational data

Taofeng Gu, Yang Liang, Yangtian Yan, Wenjun Jiang et autres

hk (code pays fourni par la source)

Leveraging Scientific AI to Accelerate Simulation-Based Natural Hazard Risk Assessment and Forecasting

Wenjun Jiang

Accurate modeling of coastal hazards, including tropical cyclones (TCs) and storm surges, is critical for risk assessment and enhancing community resilience. This research introduces a suite of advanced deep learning frameworks designed to address key limitations in current hazard modeling. For expanding …

Mitigating crosswind response of a high-speed train passing the end of windbreak walls

Dongqin Zhang, Huanxiang Gao, Wenjun Jiang, Jie Song et autres

The sudden change in wind speed at the end of a windbreak wall poses a significant threat to train safety, as it amplifies train’s responses. This study aims to investigate countermeasures to reduce the maximum unsteady crosswind response of high-speed trains at …

hk, cn (code pays fourni par la source)

TC-Diffusion: A diffusion-based probabilistic tropical cyclone model with application to typhoon wind hazard assessment

Wenjun Jiang, Xi Zhong, Jize Zhang

hk (code pays fourni par la source)

SiGAN: A 3D sensor importance deep generative model for urban wind flow field monitoring

Huanxiang Gao, Gang Hu, Dongqin Zhang, Wenjun Jiang et autres

Urban wind fields play a pivotal role in shaping urban climate , ensuring the safety of drone operations and wind sensitive structures. The monitoring of urban wind fields can offer assurance in addressing these issues. Given the three-dimensional (3D) complexity of wind …

cn, hk (code pays fourni par la source)

TC-SINDy: Improving physics-based deterministic tropical cyclone track and intensity model via data-driven sparse identification of Nonlinear Dynamics

Xi Zhong, Wenjun Jiang, Jize Zhang

hk (code pays fourni par la source)

Numerical study of dynamic amplification factor and characteristic wind curves of high-speed train in tornado-like vortices

Dongqin Zhang, Bo Liu, Liang Yang, Wenjun Jiang et autres

hk, cn (code pays fourni par la source)

Advancing storm surge forecasting from scarce observation data: A causal-inference based Spatio-Temporal Graph Neural Network approach

Wenjun Jiang, Jize Zhang, Yuerong Li, Dongqin Zhang et autres

hk, cn (code pays fourni par la source)