AI RESEARCH
FLUME-FNO: data-efficient and scalable prediction of 3D wind and temperature fields in unseen urban morphologies
arXiv CS.LG
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ArXi:2503.19708v2 Announce Type: replace-cross Urban microclimate, encompassing wind and temperature fields shaped by building geometry, significantly impacts energy consumption, pedestrian winds, pollutant dispersion, urban heat island, and public health. Accurately predicting microclimate is crucial yet challenging. Conventional Computational Fluid Dynamics (CFD) is computationally prohibitive for rapid assessments, while many deep learning approaches require extensive