Application of AI to the Climate System
Research in climate variations, climate impacts, climate diagnostics or climate change that uses approaches such as neural networks, random forests, support vectors, k-nearest neighbor algorithm, naïve Bayes classifiers, decision trees, mixture models, or other AI techniques.
Host Conference(s)
11th Conference on Artificial and Computational Intelligence and its Applications to the Environmental Sciences (AI)
Contact(s): Amy McGovern amcgovern@ou.edu Michael Richman mrichman@ou.edu
Partnering Conference(s)
25th Conference on Climate Variability and Change
Contact(s): Hai Lin Hai.Lin@ec.gc.ca