weather forecasting
-
Why Is Modeling Climate More Complex Than Forecasting Weather?
Climate models must simulate many overlapping systems to predict or project future climate.
-
Highlights: ‘From Chaos to Code: How AI Can Tame the Climate Crisis’
Part of the inaugural Columbia AI Summit, this session addressed how AI is emerging as a powerful tool in climate science, disaster preparedness, and building resilience across interconnected systems.
-
Frontline Heroes: Predicting Climate Extremes in Africa
Advanced weather-forecasting tools and techniques, like those developed at Columbia Climate School’s International Research Institute for Climate and Society (IRI), can help key stakeholders in Africa prepare for the worst.
-
When It Comes to Climate, Embrace Chaos, Says a Physicist
Physicist Tim Palmer explains why chaos theory is so pivotal in tackling climate change
-
Forecasting for the In-Between
We can do a good job forecasting the weather for a week or two, and we can settle on what the climate is likely to do season to season, a month to a year into the future. But what about in-between?
COP31, the 2026 United Nations Climate Change Conference, aims to advance dialogue, strengthen consensus, and accelerate climate action on a global scale. From November 9–20, 2026 in Antalya, Türkiye, heads of state, ministers, scientists, business leaders, and civil society will gather to advance efforts in emission targets, climate finance, and adaptation and resilience. Once again, our experts, students, and global thought leaders from Columbia Climate School and across Columbia University are contributing to key events, sharing insights, and helping shape the dialogue toward ambitious, science-based solutions. Learn More
