GraphCast is Google DeepMind's graph neural network for skillful medium-range global weather forecasting. It predicts 10-day forecasts of hundreds of atmospheric variables at 0.25° resolution (~25 km)
Use with AI
Install the MCP server or CLI to instantly fetch Graphcast documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/graphcast
HYSPLIT (Hybrid Single-Particle Lagrangian Integrated Trajectory) is a widely used model for computing air parcel trajectories and simulating the dispersion of pollutants or hazardous materials in the
2 shared topics • 4 shared operations
Bambi (BAyesian Model-Building Interface) is a high-level Python package for fitting Bayesian generalized linear and generalized linear mixed models using a concise, R-style Wilkinson formula syntax.
1 shared topic • 2 shared operations
Molecular Transformer is an open-source sequence-to-sequence Transformer model (OpenNMT-py) for data-driven chemical reaction prediction and retrosynthesis planning. Trained on USPTO reaction datasets
1 shared topic • 2 shared operations
Open Data Cube (ODC) is an open-source geospatial data management and analysis framework that indexes Earth observation satellite imagery and gridded datasets into a PostgreSQL catalogue and exposes t
1 shared topic • 1 shared operation
OceanParcels (Parcels) is a Python framework for Lagrangian ocean analysis: it tracks virtual particles through 2D/3D hydrodynamic velocity fields from ocean models or observational products. Use this
2 shared operations