
During their work on the lterwg-resilience repository, Baguirre developed two robust R-based data analysis features focused on environmental data processing. They implemented a script to analyze Vapor Pressure Deficit distributions across networks, handling daily weather data, calculating mean annual VPD, and generating visualizations, with outputs managed through local storage and Google Drive integration. Baguirre also delivered a repeatable workflow for climate extremes analysis, enabling cross-network insights into Tmax exceedances using Daymet data. Their approach emphasized reproducibility, maintainability, and robust input/output handling, leveraging R, SQL, and cloud storage integration to support reliable, stakeholder-accessible climate data analysis and visualization.

Month: 2025-08 — Delivered a repeatable climate extremes analysis capability for the lterwg-resilience repo, enabling cross-network insights into Tmax exceedances using Daymet data. Key deliverable: Tmax Percentile Analysis and Visualization (R).
Month: 2025-08 — Delivered a repeatable climate extremes analysis capability for the lterwg-resilience repo, enabling cross-network insights into Tmax exceedances using Daymet data. Key deliverable: Tmax Percentile Analysis and Visualization (R).
February 2025: Delivered a focused feature in lter/lterwg-resilience that enables Vapor Pressure Deficit (VPD) distribution analysis across multiple networks. Implemented an R script to process daily weather data, compute mean annual VPD, and generate two visualizations (histogram and dot plot). Outputs are saved locally and uploaded to Google Drive, with robust IO handling and thorough code annotations to improve reproducibility.
February 2025: Delivered a focused feature in lter/lterwg-resilience that enables Vapor Pressure Deficit (VPD) distribution analysis across multiple networks. Implemented an R script to process daily weather data, compute mean annual VPD, and generate two visualizations (histogram and dot plot). Outputs are saved locally and uploaded to Google Drive, with robust IO handling and thorough code annotations to improve reproducibility.
Overview of all repositories you've contributed to across your timeline