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
Use with AI
Install the MCP server or CLI to instantly fetch Hysplit documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/hysplit
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)
2 shared topics • 4 shared operations
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
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.
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
2 shared operations
xclim is an xarray-based climate analytics library for computing climate indicators and indices, running data quality checks, managing ensembles, and batch-processing netCDF datasets from the command
1 shared topic