Cloud Dynamics Enhancement Initiative

We are dedicated to advancing the state of climate modelling through the integration of Physics-Informed Neural Networks (PINN) and chemistry-based models, ultimately enhancing the accuracy and efficiency of climate predictions, with a specific focus on understanding the profound impact of clouds on global climate trends. At CDEI, we recognize the pivotal role of clouds in shaping Earth’s climate. Clouds possess a keen influence on the plant’s energy balance, yet their behaviors and interactions remain a significant source of uncertainty in existing climate models. Our mission is to address this knowledge gap, pioneering innovative approaches that harness the power of PINNS and advanced chemistry-based models.