NOAA-OWP/inundation-mapping
Jan 2025 – Oct 2025
6 Months active
Languages Used
MarkdownPythonShell
Technical Skills
Data FilteringData MergingData ProcessingFile ManagementGeospatial AnalysisPython Scripting
RyanSpies-NOAA
PROFILE
Ryanspies-noaa
Ryan Spies developed and maintained advanced data processing and validation workflows for the NOAA-OWP/inundation-mapping repository, focusing on hydrologic and geospatial data quality. He engineered Python scripts to automate calibration data preparation, integrate and prioritize channel slope sources, and validate river segment slopes, reducing manual intervention and improving model reliability. Leveraging skills in Python, Pandas, and geospatial analysis, Ryan addressed data ingestion robustness, ensured preservation of critical identifiers, and enabled flexible use of pre-calibrated discharge values. His work demonstrated depth in backend and full stack development, consistently enhancing data integrity and supporting more accurate, reproducible flood mapping and hydrological modeling.
Overall Statistics
Feature vs Bugs
63%Features
Repository Contributions
8Total
Bugs
3
Commits
8
Features
5
Lines of code
1,718
Activity Months6
Your Network
78 peopleShared Repositories
2
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 performance summary for NOAA-OWP/inundation-mapping. Delivered automated river segment slope data processing and validation to improve data quality for inundation mapping. Implemented a Python script to validate slopes against defined thresholds and fill missing/invalid values using upstream and downstream slopes from the NWM hydrofabric, enabling robust SWORD input parquet generation and downstream modeling.
1 Commits • 1 Features
Oct 1, 2025October 2025 performance summary for NOAA-OWP/inundation-mapping. Delivered automated river segment slope data processing and validation to improve data quality for inundation mapping. Implemented a Python script to validate slopes against defined thresholds and fill missing/invalid values using upstream and downstream slopes from the NWM hydrofabric, enabling robust SWORD input parquet generation and downstream modeling.
October 2025
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for NOAA-OWP/inundation-mapping focused on delivering enhanced inundation scripting flexibility and robust data handling. Implemented support for pre-calibrated discharge values via an optional argument and ensured backward compatibility with a safe fallback to default discharge values when pre-calibrated data is unavailable.
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for NOAA-OWP/inundation-mapping focused on delivering enhanced inundation scripting flexibility and robust data handling. Implemented support for pre-calibrated discharge values via an optional argument and ensured backward compatibility with a safe fallback to default discharge values when pre-calibrated data is unavailable.
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025: Delivered targeted updates in NOAA-OWP/inundation-mapping to strengthen mapping accuracy, data integrity, and workflow reliability. Achieved via a slope data accuracy improvement for inundation mapping and a bug fix ensuring USGS location IDs retain leading zeros, with clear commit history guiding production readiness.
2 Commits • 1 Features
Jul 1, 2025July 2025: Delivered targeted updates in NOAA-OWP/inundation-mapping to strengthen mapping accuracy, data integrity, and workflow reliability. Achieved via a slope data accuracy improvement for inundation mapping and a bug fix ensuring USGS location IDs retain leading zeros, with clear commit history guiding production readiness.
July 2025
June 2025
1 Commits
Jun 1, 2025June 2025: Delivered a critical data-quality fix in inundation-mapping, reinforced data integrity, and released version 4.8.4.1. The work improved reliability of slope-based flood mapping and reduced downstream data cleansing needs.
June 2025
1 Commits
Jun 1, 2025June 2025: Delivered a critical data-quality fix in inundation-mapping, reinforced data integrity, and released version 4.8.4.1. The work improved reliability of slope-based flood mapping and reduced downstream data cleansing needs.
May 2025
2 Commits • 1 Features
May 1, 2025Concise month summary for 2025-05: Focus on delivering robust channel slope handling for SRC-based discharge calculations and improving ingestion reliability in inundation-mapping. Highlights include integration of external slope data sources with a clear prioritization scheme and normalization of slope attributes with default roughness values, resulting in more accurate and robust SRC inputs for flood mapping.
2 Commits • 1 Features
May 1, 2025Concise month summary for 2025-05: Focus on delivering robust channel slope handling for SRC-based discharge calculations and improving ingestion reliability in inundation-mapping. Highlights include integration of external slope data sources with a clear prioritization scheme and normalization of slope attributes with default roughness values, resulting in more accurate and robust SRC inputs for flood mapping.
May 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025: Implemented the HEC-RAS Benchmark Data Calibration Script Suite for NOAA-OWP/inundation-mapping to automate calibration data preparation and accelerate hazard mapping workflows. The suite processes HEC-RAS benchmark data and converts inundation polygons into edge-point databases for HAND SRC calibration, with the ability to include maximum stage/flow points and removal of 10m grid point snapping to improve calibration data quality. Released as v4.5.14.1, enabling more accurate, reproducible calibration data and reducing manual data wrangling.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025: Implemented the HEC-RAS Benchmark Data Calibration Script Suite for NOAA-OWP/inundation-mapping to automate calibration data preparation and accelerate hazard mapping workflows. The suite processes HEC-RAS benchmark data and converts inundation polygons into edge-point databases for HAND SRC calibration, with the ability to include maximum stage/flow points and removal of 10m grid point snapping to improve calibration data quality. Released as v4.5.14.1, enabling more accurate, reproducible calibration data and reducing manual data wrangling.
Activity
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Quality Metrics
Correctness86.2%
Maintainability82.6%
Architecture85.0%
Performance72.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPythonShell
Technical Skills
Backend DevelopmentBug FixingData EngineeringData FilteringData HandlingData MergingData ProcessingData Quality AssuranceData ValidationFile ManagementFull Stack DevelopmentGeospatial AnalysisGeospatial Data HandlingHydrologyPandas
Repositories Contributed To
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