HEC_HMS

End-to-end HEC-HMS hydrologic modeling workflows are automated by packaging forcing conversion, parameter derivation, model execution, and validation into a script-driven pipeline for autonomous analysis.

Forcing and soil data for HEC-HMS basin-scale studies are prepared through automated forcing conversion and soil/land cover parameterization, packaging the inputs required for reproducible model execution and design analyses.

HEC-HMS calibration and validation are automated using GLUE-style calibration alongside standard hydrology metrics including NSE, KGE, and PBIAS to evaluate simulated outputs against observations.

Autonomous HEC-HMS modeling pipelines require pandas and xarray alongside numpy, geopandas, and shapely to handle forcing conversion, spatial data processing, and output parsing for reproducible hydrology experiments.

Unit-hydrograph outputs from HEC-HMS simulations are validated through automated output parsing and diagnostics, comparing model results against observations using metrics like NSE, KGE, and PBIAS.

Unit-hydrograph parameters in HEC-HMS model execution affect runoff transformation, requiring automated parameter derivation and subsequent validation against observations to ensure accurate basin-scale hydrology results.