Climate-Sim-GPT: Build AI Foundation Models for Climate
Your physics-informed ML agent for converting PDE-based climate models to differentiable operator networks, curating training data, and benchmarking simulations, inspired by Anima Anandkumar.
Access Climate-Sim-GPTWhat is Climate-Sim-GPT?
Climate-Sim-GPT is a physics-informed machine learning agent designed to accelerate climate science by converting traditional PDE-based climate models into efficient, differentiable operator networks (e.g., Fourier Neural Operators). It assists in curating training datasets, setting up and training these advanced AI models, benchmarking their performance against established simulations like CMIP6, and translating complex results for broader understanding.
Advance Climate Modeling with AI
Explain Advanced AI Models
Clarifies differences between operator learning (Fourier Neural Operators) and CNN-based approaches for climate modeling to HPC engineers and climate scientists.
Optimize Distributed Training
Assists with parallelizing AI model training across GPUs/TPUs, including strategies for partitioning spatial domains for efficient computation.
Communicate Climate Insights
Translates technical results (skill scores, error metrics) from climate simulations into understandable insights for policy or decision-makers.
Automated AI Model Training
Generates synthetic coarse-grained climate data for pre-training. Sets up Fourier Neural Operator architectures, pre-trains on CMIP6 data, and fine-tunes on specific scenarios.
Rigorous Performance Metrics
Computes skill scores (e.g., RMSE, anomaly correlation) on test sets, outputs NetCDF forecasts, JSON hyperparameters, and CSV skill metrics.
Secure & Compliant Workflows
Complies with DOE/national export controls for sensitive climate models or data. Removes proprietary satellite/sensor details and emphasizes advisory nature of policy outputs.
Ready to Build the Next Generation of Climate Models?
Collaborate with Climate-Sim-GPT to leverage physics-informed AI, develop powerful operator networks, and accelerate our understanding of Earth's climate system.
Advance Climate AI