Can Climate Models Aid Adaptation Efforts with Help from A.I.?
Computer climate simulations have greatly increased basic understanding of human-driven global warming. But enduring gaps in climate science and models have hindered the ability to use these tools to forecast and adapt to shifting hazards in the next few decades.
LEAP, the Center for Learning the Earth with Artificial Intelligence and Physics, is a five-year project seeking breakthroughs. Headquartered at Columbia University and funded by the National Science Foundation, the project is fostering convergence in data science, climate science and A.I and building two-way connections with stakeholders and communities at risk.
In this Sustain What webcast, the first of a series on LEAP, longtime climate journalist Andy Revkin of the Columbia Climate School will explore issues and opportunities with scientists from this team and another AI research center. (Revkin is on the knowledge transfer committee of LEAP.)
Please click here for speaker information and viewing options; https://www.earth.columbia.edu/videos/view/can-climate-models-aid-adaptation-efforts-with-help-from-a-i-question