Python framework for integrating geospatial data, 3D city modeling, and urban simulation.
-
Updated
Jul 21, 2026 - Python
Python framework for integrating geospatial data, 3D city modeling, and urban simulation.
Urban Multi-scale Environmental Predictor
uDALES: large-eddy-simulation software for urban flow, dispersion and microclimate modelling
🦋 A plugin to create Envimet 2.5D and 3D models (INX), write configuration files (SIMX) and run simulations
Package supporting the generation of static driver files for simulations with the PALM model system. Check out the Wiki and engage in the Discussions!
🌀 🏘️ The WRF-TEB software repository
Public release of Urbanmet software & datasets.
Full-stack urban microclimate simulation — React frontend + FastAPI backends for LLM-orchestrated CFD, solar, and thermal comfort analysis via natural language
R wrapper for Netatmo Weather API
Physics-informed ensemble for 12-h city-region temperature forecasts. Advection–diffusion prior + ConvLSTM + RAFL + edRVFL-SC for extreme-event warnings.
FETCH (Framework for Environmental Type Classification Hub) is a QGIS-based tool for automated Local Climate Zone (LCZ) classification. It combines Google Solar API data acquisition with advanced geospatial processing to analyze urban morphology and climate characteristics.
UNSW Research: Representative Climate Days Recognizer (ReCliDaR). An ML-based tool to identify representative climate days from typical meteorological year (TMY) weather files in ".epw" format.
Website for the LEGO Urban Climate game.
Revisiting urban heat indices in Switzerland using low-cost measurement networks
Open-source R toolkit for large-scale discovery, screening and retrieval of Weather Underground citizen weather station data for urban climate research.
Visualize the distribution of urban heat in Biel/Bienne and Bern.
Regenerative Microclimate Probe — AT6012 × infrared.city Buildathon 2026: multi-physics (UTCI/wind/solar) probing with API-first vegetation enrichment + 3 cohort-city case studies
An Urban Climate Undergraduate Dissertation under UCL Geography.
Low-threshold urban tree planting prioritization using OpenStreetMap and ERA5-Land temperature data.
End-to-end GeoAI workflow for Urban Heat Island prediction using Landsat imagery, machine learning, and Explainable AI (SHAP).
Add a description, image, and links to the urban-climate topic page so that developers can more easily learn about it.
To associate your repository with the urban-climate topic, visit your repo's landing page and select "manage topics."