lter/lterwg-resilience
Feb 2025 – Apr 2026
7 Months active
Languages Used
RSQL
Technical Skills
Climate ModelingData AnalysisData ManagementEnvironmental ScienceScriptingClimate Data Analysis
LinaAoyama
PROFILE
Linaaoyama
Lina Peninsula developed a suite of climate data analysis and modeling features for the lterwg-resilience repository, focusing on quantifying how extreme weather and climate variability affect ecosystem productivity. She engineered end-to-end R and SQL workflows for data ingestion, harmonization, and visualization, integrating cloud storage and reproducible pipelines to streamline analysis. Lina implemented robust statistical modeling, including segmented regression and z-score analytics, to assess relationships between precipitation, temperature extremes, and aboveground net primary productivity. Her work included automated data binning, heat-wave event detection, and sensitivity analyses, resulting in scalable, well-documented tools that support cross-network climate impact assessments and data-driven resilience planning.
Overall Statistics
Feature vs Bugs
89%Features
Repository Contributions
19Total
Bugs
1
Commits
19
Features
8
Lines of code
11,739
Activity Months7
Your Network
9 peopleWork History
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for lterwg-resilience focusing on business value and technical achievements across the repository. Delivered an end-to-end ANPP sensitivity analysis to climate variables (precipitation and growing-season temperature) with data preparation, analysis scripts, and visualizations. Introduced enhanced temperature metrics and refined data filtering to produce robust sensitivity results. The work is documented with explicit commit references and aligns with climate impact assessment goals.
2 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for lterwg-resilience focusing on business value and technical achievements across the repository. Delivered an end-to-end ANPP sensitivity analysis to climate variables (precipitation and growing-season temperature) with data preparation, analysis scripts, and visualizations. Introduced enhanced temperature metrics and refined data filtering to produce robust sensitivity results. The work is documented with explicit commit references and aligns with climate impact assessment goals.
April 2026
February 2026
4 Commits • 1 Features
Feb 1, 2026February 2026 (Month: 2026-02) – In the lter/lterwg-resilience repository, delivered a comprehensive Extreme Weather Impact Analysis on ANPP with Binning, Heat-Wave, and Warm-Day Modeling. The feature consolidates four commits into a single end-to-end capability that clarifies how extreme and warm weather conditions affect Aboveground Net Primary Productivity (ANPP) across cropland and grassland. Key deliverables include: (1) new precipitation-based binning for extreme weather with accompanying visualizations; (2) integration of new data/models and segmented regression for temperature extremes across land types; (3) calculation and analysis of heat-wave length breakpoints to assess impact on scaled ANPP; (4) analysis of warm day frequency with segmented linear models and visualizations to evaluate effects on ANPP across land types.
February 2026
4 Commits • 1 Features
Feb 1, 2026February 2026 (Month: 2026-02) – In the lter/lterwg-resilience repository, delivered a comprehensive Extreme Weather Impact Analysis on ANPP with Binning, Heat-Wave, and Warm-Day Modeling. The feature consolidates four commits into a single end-to-end capability that clarifies how extreme and warm weather conditions affect Aboveground Net Primary Productivity (ANPP) across cropland and grassland. Key deliverables include: (1) new precipitation-based binning for extreme weather with accompanying visualizations; (2) integration of new data/models and segmented regression for temperature extremes across land types; (3) calculation and analysis of heat-wave length breakpoints to assess impact on scaled ANPP; (4) analysis of warm day frequency with segmented linear models and visualizations to evaluate effects on ANPP across land types.
December 2025
1 Commits • 1 Features
Dec 1, 2025Monthly performance summary for 2025-12 focusing on the lter/lterwg-resilience repo. Delivered a new Extreme Weather Year Binning Visualization feature for ANPP, enabling binning of extreme dry/wet water years and visualization of their relationship with scaled ANPP. Improved data visualization (boxplots) and output organization for easier interpretation. No major bugs reported in scope of this release.
1 Commits • 1 Features
Dec 1, 2025Monthly performance summary for 2025-12 focusing on the lter/lterwg-resilience repo. Delivered a new Extreme Weather Year Binning Visualization feature for ANPP, enabling binning of extreme dry/wet water years and visualization of their relationship with scaled ANPP. Improved data visualization (boxplots) and output organization for easier interpretation. No major bugs reported in scope of this release.
December 2025
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 performance: Delivered an end-to-end Extreme Temperature and ANPP Analysis Script in the lterwg-resilience repository. The R script downloads data, computes z-scores, and analyzes the relationship between extreme temperatures and aboveground net primary productivity (ANPP) across crop types and networks, with accompanying visualizations. This enables cross-network climate-productivity insights, accelerates resilience assessments, and supports data-driven decision making for resource planning.
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 performance: Delivered an end-to-end Extreme Temperature and ANPP Analysis Script in the lterwg-resilience repository. The R script downloads data, computes z-scores, and analyzes the relationship between extreme temperatures and aboveground net primary productivity (ANPP) across crop types and networks, with accompanying visualizations. This enables cross-network climate-productivity insights, accelerates resilience assessments, and supports data-driven decision making for resource planning.
August 2025
4 Commits • 1 Features
Aug 1, 2025August 2025: Delivered end-to-end Extreme Heat Event Analysis and Visualization for the Growing Season in lterwg-resilience. Implemented calculations and visualizations of extreme heat indices from Daymet data, threshold exceedance counts across multiple percentiles, heat-wave duration, and integrated heat-wave metrics with Aboveground Net Primary Production (ANPP) to explore links with biomass. This work enables quantitative assessment of climate stress on crop productivity and informs resilience planning for agricultural systems.
4 Commits • 1 Features
Aug 1, 2025August 2025: Delivered end-to-end Extreme Heat Event Analysis and Visualization for the Growing Season in lterwg-resilience. Implemented calculations and visualizations of extreme heat indices from Daymet data, threshold exceedance counts across multiple percentiles, heat-wave duration, and integrated heat-wave metrics with Aboveground Net Primary Production (ANPP) to explore links with biomass. This work enables quantitative assessment of climate stress on crop productivity and informs resilience planning for agricultural systems.
August 2025
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for lter/lterwg-resilience: Delivered the ANPP-Climate Relationship Analysis feature, enabling end-to-end data integration and visualization to assess how rainfall patterns influence plant productivity. Implemented an R script to download, harmonize, and join ANPP and climate datasets, and created scatter plots to explore ANPP relationships with mean event precipitation, days with half precipitation, and annual precipitation. This work strengthens the data pipeline, improves analytical reproducibility, and provides actionable insights for ecosystem resilience planning. No major bugs reported this month; all changes focused on feature delivery and data quality improvements. Key technical achievements include data wrangling, integration, and visualization with clear business value in rainfall-productivity understanding.
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for lter/lterwg-resilience: Delivered the ANPP-Climate Relationship Analysis feature, enabling end-to-end data integration and visualization to assess how rainfall patterns influence plant productivity. Implemented an R script to download, harmonize, and join ANPP and climate datasets, and created scatter plots to explore ANPP relationships with mean event precipitation, days with half precipitation, and annual precipitation. This work strengthens the data pipeline, improves analytical reproducibility, and provides actionable insights for ecosystem resilience planning. No major bugs reported this month; all changes focused on feature delivery and data quality improvements. Key technical achievements include data wrangling, integration, and visualization with clear business value in rainfall-productivity understanding.
February 2025
5 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for lter/lterwg-resilience focusing on delivering a reusable data pipeline for aridity metrics and establishing a scalable data storage scaffold, while hardening PET-based calculations to improve aridity index accuracy.
5 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for lter/lterwg-resilience focusing on delivering a reusable data pipeline for aridity metrics and establishing a scalable data storage scaffold, while hardening PET-based calculations to improve aridity index accuracy.
February 2025
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Quality Metrics
Correctness83.2%
Maintainability82.2%
Architecture76.8%
Performance75.8%
AI Usage22.2%
Skills & Technologies
Programming Languages
RSQL
Technical Skills
Climate Data AnalysisClimate ModelingCloud Storage IntegrationData AnalysisData HarmonizationData ManagementData VisualizationEnvironmental ScienceExploratory Data AnalysisR ProgrammingR programmingScriptingStatistical Analysisclimate modelingdata analysis
Repositories Contributed To
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