Pywr Knowledge Infrastructure — Agent Entry Point

Automating Pywr reservoir model assembly involves ingesting GRanD dam inventories, converting VIC or observed inflows, and defining demands and operating rules to produce a complete, runnable Pywr JSON model.

Integrating regulated releases into CaMa-Flood requires running the Pywr model first, extracting the regulated release results, and then optionally injecting those outputs back into CaMa-Flood for downstream routing.

Pywr reservoir model infeasibilities and unit-conversion errors are diagnosed using built-in validation checks and diagnostic triplets provided during stage-by-stage assembly to troubleshoot topology and data mismatches.

Yes, you can use observed inflow data instead of VIC data for Pywr reservoir modeling, as the pipeline supports inflow conversions for both VIC and observed datasets to build the runnable model.

Automated Pywr model assembly includes execution and diagnostics that extract storage and release results, plot outputs, and run diagnostic triplets to visualize and troubleshoot model performance.

Building an end-to-end Pywr reservoir operations pipeline within HydroCraft requires GRanD dam inventories, inflow conversions, demand definitions, and operating rules to generate a runnable model with robust error handling.