schism-dev/schism
Feb 2025 – May 2025
4 Months active
Languages Used
PythonRegShellFortranJSONNetCDF
Technical Skills
API IntegrationData ProcessingGeospatial AnalysisHydrological ModelingScientific ComputingGIS
Charles Seaton
PROFILE
Charles Seaton
Over four months, Chris Seaton developed and refined hydrological data integration pipelines for the schism-dev/schism repository, focusing on automating GLOFAS and NWM forecast ingestion for the STOFS-Pacific model. He engineered end-to-end workflows in Python and Shell, handling data download, preprocessing, and merging to align with model grids, while implementing robust fallback and error-handling mechanisms. His work included enhancements to geospatial analysis, source-sink redistribution, and percentile flow analysis, improving simulation fidelity and reproducibility. By updating documentation and usage instructions, Chris reduced onboarding friction and ensured maintainability, demonstrating depth in scientific computing, data processing, and hydrological modeling.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
9Total
Bugs
1
Commits
9
Features
5
Lines of code
2,698
Activity Months4
Your Network
19 people
Work History
May 2025
4 Commits • 2 Features
May 1, 2025Monthly 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.
4 Commits • 2 Features
May 1, 2025Monthly 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.
May 2025
April 2025
3 Commits • 1 Features
Apr 1, 2025April 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
3 Commits • 1 Features
Apr 1, 2025April 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
1 Commits • 1 Features
Mar 1, 2025March 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.
1 Commits • 1 Features
Mar 1, 2025March 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
February 2025
1 Commits • 1 Features
Feb 1, 2025February 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
1 Commits • 1 Features
Feb 1, 2025February 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.
Activity
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Quality Metrics
Correctness84.4%
Maintainability84.4%
Architecture84.4%
Performance75.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
FortranJSONNetCDFPythonRegShell
Technical Skills
API IntegrationData IntegrationData Pre-processingData ProcessingFortran ProgrammingGISGeospatial AnalysisHydrodynamicsHydrographyHydrological ModelingHydrology ModelingNetCDFNumerical AnalysisNumerical ModelingPre-processing
Repositories Contributed To
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