hype-hydrocraft

Automating HYPE hydrology setup requires orchestrating subbasin delineation, SLC classification, and forcing preparation to generate valid GeoData and GeoClass files. This workflow handles those steps end-to-end, including nitrogen and phosphorus transport configuration.

Configuring LakeData and DamData for lake regulation in HYPE requires specific formatting and validation rules. This workflow automates LakeData and DamData configuration, ensuring parameter integrity for robust production runs with lake regulation.

Calibrating HYPE parameters and validating par.txt requires built-in diagnostics and strict parameter-count checks. This workflow provides built-in calibration utilities and enforces parameter integrity to ensure reproducible, validated model runs.

HYPE supports integrated nitrogen and phosphorus transport with NPC-enabled simulations for basin-scale projects. This workflow handles NPC integration, applying strict formatting and validation requirements for robust production runs.

HYPE workflows fail when directory paths lack trailing slashes or when formatting rules are violated. This workflow enforces trailing slash conventions in paths and applies built-in diagnostics to prevent formatting-related failures.

Using geopandas and xarray for HYPE forcing preparation and GeoData generation is supported through Python-based orchestration. This workflow leverages geospatial and data array libraries to automate spatial data processing and model input creation.