BMI

What problem does it solve?

Provides a unified, standard interface for BMI-wrapped models to be initialized, run, and finalized, enabling robust automation, cross-language coupling, and easier integration within orchestration pipelines.

Core Features & Use Cases

• End-to-end BMI lifecycle support (initialize, update, finalize) for models implemented in Python, C, Fortran, Java, and more.
• Cross-model data exchange with grid awareness and unit-consistent inputs/outputs to facilitate coupling.
• Preflight validation and diagnostic triplets to catch common errors before execution and during coupling.
• Use Case: Couple a heat diffusion BMI model with a river routing BMI model and automatically extract time-series outputs for analysis.

Quick Start

Use available BMI runner tools to configure a YAML config, initialize the model, step through time, and collect outputs.