
Worked on the schism-dev/schism repository to deliver robust hydrological data integration and processing pipelines over four months. Developed end-to-end workflows for integrating GLOFAS and NWM forecast data into the STOFS-Pacific model, including automated data download, preprocessing, and merging routines. Enhanced data fidelity and simulation reliability by implementing flexible argument parsing, regional exclusion handling, and climatology fallback options. Applied Python, Fortran, and shell scripting to streamline source-sink calculations, improve boundary handling, and enable percentile-based flow analysis. Addressed data quality issues through targeted bug fixes and script refinements, resulting in reproducible, maintainable pipelines for hydrological modeling and geospatial analysis.
Monthly summary for 2025-05: Schism data preprocessing and flow-control enhancements delivered for the schism-dev/schism repository. Improved data quality and input stability for hindcasts, enabling more reliable simulations and downstream analyses.
Monthly summary for 2025-05: Schism data preprocessing and flow-control enhancements delivered for the schism-dev/schism repository. Improved data quality and input stability for hindcasts, enabling more reliable simulations and downstream analyses.
April 2025 monthly summary for schism-dev/schism: Delivered end-to-end GLOFAS-NWM data integration for hydrological modeling with a new data-merge script, enhanced preprocessing, and updated usage instructions including a climatology data fallback. Implemented a robust STOFS-Pacific data path to unify NWM and GLOFAS inputs, along with targeted script refinements to improve reliability. These efforts improved data fidelity for hydrological simulations, reduced onboarding friction, and strengthened reproducibility and maintainability of the data pipeline.
April 2025 monthly summary for schism-dev/schism: Delivered end-to-end GLOFAS-NWM data integration for hydrological modeling with a new data-merge script, enhanced preprocessing, and updated usage instructions including a climatology data fallback. Implemented a robust STOFS-Pacific data path to unify NWM and GLOFAS inputs, along with targeted script refinements to improve reliability. These efforts improved data fidelity for hydrological simulations, reduced onboarding friction, and strengthened reproducibility and maintainability of the data pipeline.
March 2025 — Delivered GLOFAS processing pipeline enhancements and HydroSHEDS integration for SCHISM. Refactored preprocessing, improved daily processing, added flexible argument parsing, and enhanced regional exclusion handling and plotting, with stronger HydroSHEDS integration for more accurate river end identification. This streamlined data preparation and processing of GLOFAS forecasts for source-sink calculations, improving robustness, reproducibility, and forecast reliability.
March 2025 — Delivered GLOFAS processing pipeline enhancements and HydroSHEDS integration for SCHISM. Refactored preprocessing, improved daily processing, added flexible argument parsing, and enhanced regional exclusion handling and plotting, with stronger HydroSHEDS integration for more accurate river end identification. This streamlined data preparation and processing of GLOFAS forecasts for source-sink calculations, improving robustness, reproducibility, and forecast reliability.
February 2025: Delivered end-to-end GLOFAS forecast data integration into the STOFS-Pacific model, including data download, preprocessing to align with the model grid, and generation of source/sink files, plus comprehensive documentation. This enables automated forecast data ingestion, improves model fidelity, and accelerates deployment to production.
February 2025: Delivered end-to-end GLOFAS forecast data integration into the STOFS-Pacific model, including data download, preprocessing to align with the model grid, and generation of source/sink files, plus comprehensive documentation. This enables automated forecast data ingestion, improves model fidelity, and accelerates deployment to production.

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