In recent years, the frequency, duration, and intensity of heatwaves across India have escalated sharply due to climate change.
In recent years, the frequency, duration, and intensity of heatwaves across India have escalated sharply due to climate change However, traditional meteorological warnings rely almost exclusively on ambient dry-bulb temperature thresholds This creates a critical vulnerability:standard forecasts ignore the deadly compounding effects of relative humidity, wind speed, and solar radiation on the human body
In recent years, the frequency, duration, and intensity of heatwaves across India have escalated sharply due to climate change. However, traditional meteorological warnings rely almost exclusively on ambient dry-bulb temperature thresholds. This creates a critical vulnerability:standard forecasts ignore the deadly compounding effects of relative humidity, wind speed, and solar radiation on the human body. A temperature of 40°C at 20% humidity feels vastly different from 40°C at 70% humidity-the latter can be fatal. Current public health infrastructure lacks localized, effect-based forecasting that translates raw weather data into actual physiological risk, human thermal stress levels, and projected mortality rates. The challenge is to design an intelligent, localized early warning system t