
Lina Peninsula developed robust climate data analysis workflows for the lter/lterwg-resilience repository, focusing on reproducible pipelines and actionable insights. She engineered end-to-end solutions in R and SQL to calculate aridity indices, analyze extreme heat events, and assess the relationship between precipitation and plant productivity. Her work integrated climate and ANPP datasets, harmonized data from cloud storage, and visualized key metrics to support ecosystem resilience research. Lina’s technical approach emphasized data management, statistical analysis, and clear code organization, resulting in reusable components and traceable commits. The depth of her contributions enabled quantitative assessment of climate impacts on ecological productivity.

August 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: 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.
July 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 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 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 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.
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