ISSMteam/ISSM
Dec 2024 – Sep 2025
7 Months active
Languages Used
MATLABPythonC++Matlab
Technical Skills
Data LoadingFile HandlingFile ParsingModel IntegrationNetCDFScientific Computing
inwoo-simba
PROFILE
Inwoo-simba
Inwoo contributed to the ISSMteam/ISSM repository by developing robust cross-language workflows and advanced data visualization tools for climate and geospatial modeling. Over seven months, Inwoo engineered features such as NetCDF-based model loading for Python and MATLAB, 3D geospatial plotting with Landsat imagery, and Pythonic refactoring of mechanical property calculations. Using Python, C++, and Matplotlib, Inwoo improved plotting reliability, streamlined data processing, and synchronized core algorithms between MATLAB and Python. The work addressed runtime stability, enhanced model reproducibility, and reduced tooling debt, demonstrating a strong grasp of scientific computing, backend development, and visualization pipelines in a collaborative research environment.
Overall Statistics
Feature vs Bugs
54%Features
Repository Contributions
38Total
Bugs
6
Commits
38
Features
7
Lines of code
1,394
Activity Months7
Your Network
53 people
Work History
September 2025
2 Commits
Sep 1, 2025Sept 2025 ISSM monthly summary focusing on reliability improvements in plotting and input handling. The work concentrated on stabilizing plotting workflows by initializing default caxis limits when undefined and making BC data type handling robust through case-insensitive matching. These changes reduce runtime errors and improve user experience in data visualization, contributing to more reliable analysis and reporting pipelines across ISSM.
2 Commits
Sep 1, 2025Sept 2025 ISSM monthly summary focusing on reliability improvements in plotting and input handling. The work concentrated on stabilizing plotting workflows by initializing default caxis limits when undefined and making BC data type handling robust through case-insensitive matching. These changes reduce runtime errors and improve user experience in data visualization, contributing to more reliable analysis and reporting pipelines across ISSM.
September 2025
August 2025
4 Commits • 2 Features
Aug 1, 2025Monthly summary for 2025-08 for ISSMteam/ISSM: Delivered cross-language fidelity and visualization enhancements that improve model reliability, debug-ability, and end-user interpretability. Focused on aligning MATLAB and Python basal stress computations for the friction class and on robust log-scale plotting of gridded data, enabling accurate, reproducible simulations and clearer data insights for stakeholders.
August 2025
4 Commits • 2 Features
Aug 1, 2025Monthly summary for 2025-08 for ISSMteam/ISSM: Delivered cross-language fidelity and visualization enhancements that improve model reliability, debug-ability, and end-user interpretability. Focused on aligning MATLAB and Python basal stress computations for the friction class and on robust log-scale plotting of gridded data, enabling accurate, reproducible simulations and clearer data insights for stakeholders.
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for ISSM team: Delivered enhancements to data visualization with a focus on reliability and maintainability. Introduced Scatter Plot Support with robust colorbar handling and enforced consistent script permissions across plotting utilities, reducing operational risk and improving deployment hygiene. These changes support better decision-making through more versatile visuals and more predictable execution environments.
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for ISSM team: Delivered enhancements to data visualization with a focus on reliability and maintainability. Introduced Scatter Plot Support with robust colorbar handling and enforced consistent script permissions across plotting utilities, reducing operational risk and improving deployment hygiene. These changes support better decision-making through more versatile visuals and more predictable execution environments.
July 2025
June 2025
12 Commits • 1 Features
Jun 1, 2025June 2025 ISSM monthly summary (repo ISSMteam/ISSM): Expanded 3D geospatial visualization capabilities, improved plotting reliability, and strengthened cross-language workflow support to deliver clearer spatial insights and faster decision-making. Key features delivered: - 3D geospatial plotting enhancements: enabled 3D extrusion support in frictionweertman, added 3D data processing for layers, and integrated Landsat imagery as a background for geospatial visualizations. Representative commits include: c989d26f186a291159f8cc9c99a7c15c491433cb; 015ef5dea9c45fff78f8a682f53db3f0be934b08; 0a57bf81382c3695eb8ab9bb8265044a164281de; a0aa6a31ab31aecf0f363dadb8ca9a86754cd47a. - Landsat background plotting: added plot_landsat.py for drawing background RGB images with Landsat datasets. Major bugs fixed: - Plotting robustness and visualization fixes: improved colorbar handling, safe option parsing, log-scale color mapping, masking, line width consistency, contour labeling, and scaleruler integration. Representative commits include: b4fa6fca4e0c7655ca8d5bf4861f45a154de336a; 480f4c39eaaeca66cdaa6f44576a58a25e554f10; 7518f1b8a98bc526d27c3ee232ece1f738ac58c9; b40dae068687da5ae207916ab0acc145dbf1b422; 726404e69da4db2284dc2adcadf5a7e84bc77070; 835d6b8e1913430b955bb6387465a91808534f6a; 96d7662baa0614c58b67903caca2bd99a2cc0f98; 5f70713358ac8fa64af76ef4dc5cdbf10921cfd5. Overall impact and accomplishments: - These changes collectively improve visualization reliability, reduce user friction, and enable more accurate interpretation of geospatial data, supporting faster, more confident decision-making in spatial analyses and planning. Technologies/skills demonstrated: - Python for 3D plotting and data processing, Landsat imagery integration, Matplotlib-driven visualization improvements (color mapping, contour labeling, scaleruler), robust option parsing, and Matlab→Python interoperability for 3D workflows. Note: - Depth averaging remains unsupported in the depth-related 3D workflow; processdata.py supports selecting layers in 3D models as part of the workflow."
June 2025
12 Commits • 1 Features
Jun 1, 2025June 2025 ISSM monthly summary (repo ISSMteam/ISSM): Expanded 3D geospatial visualization capabilities, improved plotting reliability, and strengthened cross-language workflow support to deliver clearer spatial insights and faster decision-making. Key features delivered: - 3D geospatial plotting enhancements: enabled 3D extrusion support in frictionweertman, added 3D data processing for layers, and integrated Landsat imagery as a background for geospatial visualizations. Representative commits include: c989d26f186a291159f8cc9c99a7c15c491433cb; 015ef5dea9c45fff78f8a682f53db3f0be934b08; 0a57bf81382c3695eb8ab9bb8265044a164281de; a0aa6a31ab31aecf0f363dadb8ca9a86754cd47a. - Landsat background plotting: added plot_landsat.py for drawing background RGB images with Landsat datasets. Major bugs fixed: - Plotting robustness and visualization fixes: improved colorbar handling, safe option parsing, log-scale color mapping, masking, line width consistency, contour labeling, and scaleruler integration. Representative commits include: b4fa6fca4e0c7655ca8d5bf4861f45a154de336a; 480f4c39eaaeca66cdaa6f44576a58a25e554f10; 7518f1b8a98bc526d27c3ee232ece1f738ac58c9; b40dae068687da5ae207916ab0acc145dbf1b422; 726404e69da4db2284dc2adcadf5a7e84bc77070; 835d6b8e1913430b955bb6387465a91808534f6a; 96d7662baa0614c58b67903caca2bd99a2cc0f98; 5f70713358ac8fa64af76ef4dc5cdbf10921cfd5. Overall impact and accomplishments: - These changes collectively improve visualization reliability, reduce user friction, and enable more accurate interpretation of geospatial data, supporting faster, more confident decision-making in spatial analyses and planning. Technologies/skills demonstrated: - Python for 3D plotting and data processing, Landsat imagery integration, Matplotlib-driven visualization improvements (color mapping, contour labeling, scaleruler), robust option parsing, and Matlab→Python interoperability for 3D workflows. Note: - Depth averaging remains unsupported in the depth-related 3D workflow; processdata.py supports selecting layers in 3D models as part of the workflow."
May 2025
6 Commits • 1 Features
May 1, 2025May 2025: Delivered a Python-based gridded plotting workflow to replace Matlab plots, including data processing, grid interpolation, and Matplotlib-based rendering; integrated with the plotting manager and enhanced color normalization, colormaps, and optional mesh-edge plotting and improved median calculations. This work reduces Matlab dependency, improves maintainability, and accelerates visualization turnaround for gridded figures.
6 Commits • 1 Features
May 1, 2025May 2025: Delivered a Python-based gridded plotting workflow to replace Matlab plots, including data processing, grid interpolation, and Matplotlib-based rendering; integrated with the plotting manager and enhanced color normalization, colormaps, and optional mesh-edge plotting and improved median calculations. This work reduces Matlab dependency, improves maintainability, and accelerates visualization turnaround for gridded figures.
May 2025
January 2025
8 Commits • 1 Features
Jan 1, 2025January 2025 ISSM/ISSM: Delivered a Pythonic refactor of mechanical properties with improved damage handling, enabling more accurate material modeling and easier maintenance. Fixed key bugs affecting stability and correctness: sign error in downward longwave radiation correction (per Marty et al. 2002); parameter retrieval for SmbSemicTransient; and a NetCDF loading guard to skip the unimplemented mmemasstransport group. These changes reduce runtime errors, accelerate feature delivery, and demonstrate cross-language modernization from Matlab to Python.
January 2025
8 Commits • 1 Features
Jan 1, 2025January 2025 ISSM/ISSM: Delivered a Pythonic refactor of mechanical properties with improved damage handling, enabling more accurate material modeling and easier maintenance. Fixed key bugs affecting stability and correctness: sign error in downward longwave radiation correction (per Marty et al. 2002); parameter retrieval for SmbSemicTransient; and a NetCDF loading guard to skip the unimplemented mmemasstransport group. These changes reduce runtime errors, accelerate feature delivery, and demonstrate cross-language modernization from Matlab to Python.
December 2024
4 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for ISSM project. Delivered cross-language NetCDF model loading support enabling ISSM models exported to NetCDF to be loaded back as native ISSM objects in Python and MATLAB, facilitating persistent model representations and cross-language interoperability.
4 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for ISSM project. Delivered cross-language NetCDF model loading support enabling ISSM models exported to NetCDF to be loaded back as native ISSM objects in Python and MATLAB, facilitating persistent model representations and cross-language interoperability.
December 2024
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Quality Metrics
Correctness83.8%
Maintainability83.8%
Architecture77.4%
Performance70.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++MATLABMatlabPython
Technical Skills
3D ModelingBackend DevelopmentBug FixC++Climate ModelingClimate ScienceCode RefactoringCode SynchronizationData LoadingData ProcessingData VisualizationFile HandlingFile ParsingFile Permissions ManagementGeospatial Data Visualization
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