Methods

This section provides technical documentation for the core analytical methods used in the Cal-Adapt: Analytics Engine. Each page describes how a specific approach is defined, implemented, and applied — including the scientific rationale behind methodological choices, step-by-step workflow documentation, and guidance on appropriate use. These pages are intended to support transparency, reproducibility, and citability for users applying Analytics Engine tools in planning and regulatory contexts.

Global Warming Levels

Describes the methods used to define and retrieve global warming level (GWL) datasets within the Analytics Engine, including how warming thresholds are calculated, how simulations are grouped by warming level, and how users can apply GWL data in their analyses.

Extreme Value Analysis

Explains the statistical methods used for extreme value analysis in the Analytics Engine, including the Block Maxima/Minima Series approach, distribution fitting, return period and return value calculations, confidence interval estimation, and guidance on spatial, temporal, and simulation aggregation.