7 papers
Parameter estimation for land-surface models using Neural Physics
Ruiyue Huang, Claire E. Heaney, Maarten van Reeuwijk
We propose a novel inverse-modelling approach that estimates the parameters of a simple land-surface model (LSM) by assimilating data into a differentiable, physics-based forward m…
Inpainting U-Net for seamless pedestrian-level wind prediction across urban morphologies
Jingzi Huang, Claire E. Heaney, Tao Li +3
Pedestrian-level wind prediction is essential for urban design and wind-comfort assessment, but high-fidelity simulations such as LES remain computationally expensive for rapid eva…
Building drag and shielding in a realistic urban environment
Jingzi Huang, Omduth Coceal, Marco Placidi +2
Shielding by upstream buildings is a fundamental control on urban drag, yet its influence remains poorly quantified in realistic urban environments. Here, we investigate shielding…
Revisiting the phenomenon of bouncing of inertial particles crossing density stratified interfaces
Chen Mortenfeld, Maarten van Reeuwijk, Aviv Littman +1
Inertial spheres settling through sharp density interfaces can arrest, reverse direction, and resume descent, a phenomenon known as bouncing. Using synchronized particle image velo…
Particle settling in turbidity currents: inertia-independent biased sampling
Lianzheng Cui, Eric Climent, Graham O. Hughes +1
We investigate the mechanisms governing particle settling in turbidity currents using Eulerian-Lagrangian direct numerical simulations. The Eulerian carrier flow is driven either b…
Multi-scale flow analysis for scale-aware urban-canopy models
Jingzi Huang, Maarten van Reeuwijk
As Numerical Weather Prediction (NWP) models approach hectometric resolution, they increasingly enter a regime where urban heterogeneity is only partially resolved and the assumpti…