Applications

This section provides an overview of the core applications supported by the Analytics Engine, including tools for accessing and visualizing climate data, exploring uncertainty, analyzing threshold exceedance events, applying global warming levels, and transforming climate timeseries. The Development Roadmap outlines priority applications identified through user engagement, including those available now, in active development, and forthcoming.

Notebooks & Development

This page introduces how Jupyter notebooks are used within the Analytics Engine for analysis, visualization, and workflow customization. The Development Roadmap outlines priority applications identified through user engagement, including those available now, in active development, and forthcoming. The example notebooks demonstrate common tasks such as data exploration, uncertainty assessment, warming-level analysis, timeseries transformations, and accessing renewable-energy datasets. Notebooks are continually updated with new data, features, and scientific improvements.

Example Use Cases

This page shows how notebooks and applications support real-world decision-making. It includes examples such as localizing climate data, evaluating extreme weather events, exploring impacts at different warming levels, and supporting planning and risk management across sectors. This content illustrates how Analytics Engine tools can be applied to practical, user-identified needs.