High-Resolution Urban Heat Wave Prediction and Climate Risk Mapping

High-resolution urban heat wave prediction and climate risk mapping using dynamical downscaling and urban canopy modeling

Objective

• This project proposes dynamical downscaling of global weather (NWP) and climate (CMIP6 GCM) datasets using the Weather Research and Forecasting (WRF) model at ?2 km resolution, coupled with urban canopy parameterizations (single-layer and multilayer).

Description

• Urban areas are becoming increasingly vulnerable to extreme heat due to climate change and rapid urbanization. Urban heat islands (UHI) amplify the frequency and intensity of heat stress, with cascading effects on public health, energy demand, and infrastructure stability. This project proposes dynamical downscaling of global weather (NWP) and climate (CMIP6 GCM) datasets using the Weather Research and Forecasting (WRF) model.

Impact

• Sharper early warnings for urban heatwaves., High-resolution projections (?2 km) of future extreme heat events and UHI dynamics out to 2100., Guidance for cooling strategies and climate-smart planning., Decision-support platform for agencies and citizens.