most citedUsing Diffusion Models for Reducing Spatiotemporal Errors of Deep Learning Based Urban Microclimate Predictions at Post-Processing Stage

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

physics.flu-dyn2025★ 2 cited

Using Diffusion Models for Reducing Spatiotemporal Errors of Deep Learning Based Urban Microclimate Predictions at Post-Processing Stage

Sepehrdad Tahmasebi, Geng Tian, Shaoxiang Qin +3

Computational fluid dynamics (CFD) is a powerful tool for modeling turbulent flow and is commonly used for urban microclimate simulations. However, traditional CFD methods are comp…