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
Use with AI
Install the MCP server or CLI to instantly fetch Oceanparcels documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/oceanparcels
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
2 shared topics • 2 shared operations
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
4 shared operations
Sentinel Hub is a cloud-based satellite imagery access and processing platform that provides programmatic access to Copernicus Sentinel, Landsat, MODIS, and commercial satellite data collections throu
2 shared topics • 1 shared operation
WeatherBench 2 is a benchmarking framework for next-generation data-driven global weather models. It provides tools for accessing re-forecast and observational data, computing performance metrics (RMS
2 shared topics • 1 shared operation
Hmsc (Hierarchical Modelling of Species Communities) is an R package for fitting joint species distribution models (JSDMs) in a Bayesian hierarchical framework. It links species occurrences or abundan
1 shared topic • 2 shared operations