The sound of rushing water can be a death knell in the remote valleys of Northen Pakistan. The threat of sudden devastating floods looms over millions as over 10,000 out of almost 13,000 glaciers recede at an alarming rate due to rising temperatures as a result of climate change. 

These receding glaciers create the catastrophic Glacial Lake Outburst Floods, commonly known as GLOFs.¹ These outburst floods put 7.1 million people at risk of losing their homes and livelihoods.² Climate induced disasters have become more unpredictable. Fortunately, AI has emerged as a powerful solution to address the uncertainty. AI enhanced early warning systems have been revolutionary as they generate GLOF simulations and future-based scenarios with greater precision. Countries such as Nepal and Switzerland have employed AI-powered early warning models to predict and mitigate GLOFs. 

Pakistan has also integrated AI-driven simulations and multilingual alert systems for better disaster preparedness. The GLOF-II project is a joint initiative of the UNDP and the Ministry of Climate Change and Environmental Coordination, supported by the Green Climate Fund. This initiative has installed 192 early warning systems in the 24 most climate vulnerable valleys of Gilgit-Baltistan and Khyber Pakhtunkhwa. These high-tech systems have been installed in collaboration with the Pakistan Meteorological Department to generate data based on any weather changes sensed and transmitting timely alerts to the communities who are able to prepare and evacuate on time. The project has 421,232 people under its protective reach.