Developing a geospatial framework for coupled large scale thermal comfort and air quality indices using high resolution gridded meteorological and station based observations

• Thermal comfort and air quality was successfully coupled for outdoor index. Moderate to very strong heat stress observed during daytime. Statistically significant hotspots poor were identified. Poor zones clustered around large metropolitan areas. Operational framework will serve as a forecasting tool activities. Current bioclimate indices provide insufficient information about the combined effect on human physiology in spaces. This work examined, scale gridded meteorological observations, including temperature, wind speed, solar radiation, relative humidity, derive Universal Climate Index (UTCI) at hourly intervals along with index (AQI) derived from Environmental Protection Agency (EPA) observation stations. UTCI AQI into single using geospatial analytics newly developed lookup table approach. High risk areas identified Moran's I Getis-Ord GI* statistics. summer months of 2015–2019, ranging 26 °C 38 °C. Coastal regions consistently experienced higher noon due humidity but subsided cooler circulation ocean, especially morning evening. Results also indicated vulnerability this region impact based 95th percentile values. The final products analysis can valuable insights urban planning preventative measures ensure improved public health environments.