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arXiv:2604. 22433v2 Announce Type: replace Abstract: Heat exposure connects the built environment and public health, directly shaping the livability and sustainability of urban areas.
arXiv:2606. 11534v1 Announce Type: cross Abstract: Urban heat is amplified by impermeable surfaces and heterogeneous built environments, yet street-level variability remains difficult to quantify because multi-sensor observations are rarely available in consistent, analysis-ready form at the necessary spatiotemporal scales.
arXiv:2609.40140v2 Announce Type: cross Abstract: Extreme heat is where urban adaptation needs kilometer-scale data the most, but the simulations training a downscaler can cost more than they save, a...
arXiv:2509. 04991v2 Announce Type: replace-cross Abstract: Land surface temperature (LST) is a fundamental physical variable in land-atmosphere interactions, surface energy budgets, and climate processes.
Fast Localized Urban Microclimate Emulator (FLUME) is a rapid, data‑efficient framework that predicts three‑dimensional wind and temperature fields in urban environments using a Fourier neural operator. It incorporates a Multi‑Directional Distance Feature (MDDF) to capture building geometry effects and is trained on CFD simulations of only 23 urban blocks, achieving mean absolute errors of 0.2 m/s for velocity and 0.19 °C for temperature on unseen configurations. An ensemble approach provides epistemic uncertainty estimates, with higher uncertainty in roof‑level shear layers, building wakes, and near‑ground vertical velocity.
arXiv:2605. 13566v2 Announce Type: replace Abstract: Land Surface Temperature (LST) is a key variable for various applications, such as urban climate and ecology studies.