
Contributed targeted hydrological parameter refinements to the Riverscapes/riverscapes-tools repository, focusing on improving the accuracy and consistency of hydrological modeling and decision support. Leveraging skills in data curation, data engineering, and hydrology, the work involved updating and managing CSV-based datasets, including HydroParams.csv, Watersheds.csv, and WatershedHydroParams.csv. The developer corrected a parameter ID mismatch and adjusted Qlow and Q2 values across multiple watersheds to align with updated modeling assumptions. All changes were implemented with clear commit traceability, emphasizing data quality and downstream mapping consistency. The work demonstrated attention to detail in data management and hydrological parameterization within a collaborative environment.
Month: 2025-10 — Riverscapes/riverscapes-tools delivered targeted NM Hydro parameter refinements to improve hydrological modeling and decision support. Data quality and consistency were enhanced through updates to HydroParams.csv, Watersheds.csv, and WatershedHydroParams.csv, including a parameter ID correction (46->45) and adjustments to Qlow/Q2 across multiple watersheds. Changes were captured with four commits and full traceability.
Month: 2025-10 — Riverscapes/riverscapes-tools delivered targeted NM Hydro parameter refinements to improve hydrological modeling and decision support. Data quality and consistency were enhanced through updates to HydroParams.csv, Watersheds.csv, and WatershedHydroParams.csv, including a parameter ID correction (46->45) and adjustments to Qlow/Q2 across multiple watersheds. Changes were captured with four commits and full traceability.

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