analyzing-aorc-precipitation

AORC precipitation data retrieval automates fetching historical weather records from cloud sources and processing them into model-ready formats. This Skill handles watershed-specific retrieval, temporal aggregation to your model timestep, and export to DSS or CSV, streamlining calibration and validation workflows without manual data downloading.

Yes. This Skill generates Atlas 14 design storms by analyzing historical AORC precipitation records, applying Area Reduction Factors (ARF) for watershed averaging, and producing SCS Type II storm profiles. The result is design-storm input ready for HEC-RAS or HMS projects.

The Skill processes AORC data and exports to DSS (HEC Data Storage System), CSV, and HDF formats. It handles hourly and sub-hourly aggregation to match your model timestep and supports watershed spatial averaging, giving flexibility in output format and temporal resolution.

No. The Skill retrieves AORC precipitation directly from cloud-based sources, eliminating manual downloads. You provide the watershed identifier, date range, and model timestep; the Skill handles retrieval, aggregation, and export automatically.

Watershed averaging spatially aggregates AORC grid-cell precipitation across your watershed boundary, then temporally aggregates results to your specified timestep (hourly or finer). ARF application adjusts the averaged precipitation to account for spatial variability in design-storm frequency analysis.

Calibration uses actual historical AORC data to validate model performance against observed events. Design-storm generation synthesizes extreme-event precipitation profiles (Atlas 14 SCS Type II) from historical statistics, producing hypothetical storms for infrastructure design and scenario testing.