This skill provides Python scripts and Jupyter notebooks for downloading, processing, and visualizing ERA5 and ERA5-Land climatological data from the Copernicus Climate Data Store (CDS). It supports v
Use with AI
Install the MCP server or CLI to instantly fetch Era5 Tools documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/era5-tools
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
3 shared topics
nc-time-axis provides cftime-aware axis support for matplotlib, enabling the plotting of time series that use non-standard calendars (360_day, noleap, all_leap, julian, etc.) common in climate, weathe
2 shared topics
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 topics
DoE.base is a foundational R package by Ulrike Groemping for full factorial experimental designs and designs based on orthogonal arrays. It provides utility functions for the shared `design` class use
1 shared topic • 1 shared operation
mvabund is an R package providing a model-based approach to analyzing multivariate abundance data in ecology. It offers tools for data visualization, fitting predictive generalized linear models (GLMs
1 shared topic • 1 shared operation