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Clouds Dynamics Enhancement Initiative
Understanding the profound impact of clouds on global climate trends through using Physics-Informed Neural Networks (PINN) and chemistry-based models.
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MISSION
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.
REMOTE Framework
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CDEI is 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.
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Research
Exploring innovative methods, integrating Physics-Informed Neural Networks (PINN) and chemistry-based models for advanced scientific knowledge.
Ecosystem
Comprehensive consideration between climate change and clouds, exploring its effects and processes, aiming for the broader climate system.
Multidisciplinary
Collaborative integration of expertise from physics, climate science, computer science, and atmospheric chemistry for enriched perspectives
Transformation
Pushing boundaries in climate modelling through cutting-edge technologies, aiming for transformative improvements in accuracy, efficiency, and understanding of cloud dynamics.
Optimization
Enhancing climate models by seamlessly applying PINN for improved accuracy and computational efficiency, especially in cloud-related phenomena.
Education
Dedicated commitment to disseminating research outcomes, cultivating public awareness about climate science, and nurturing the next generation of climate scientists for a sustainable global future.
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