
Jarusch Müßel enhanced data modeling and package management across several research software repositories, including pik-piam/mrremind and pik-piam/piamInterfaces. He delivered new scenario support and expanded data mapping for energy and transport models, using R and YAML to update data generation logic and configuration files. His work included refining build processes, automating release versioning, and improving metadata management, particularly through targeted updates to CITATION.cff in remindmodel/remind. By focusing on data preprocessing, scripting, and documentation, Jarusch ensured compatibility with downstream workflows and enabled broader scenario coverage, demonstrating a methodical approach to maintainability and release readiness without introducing regressions or bugs.

September 2025: Focused on expanding data mapping capabilities and kickstarting the new build/release cycle in pik-piam/piamInterfaces. Delivered two feature enhancements to energy/transport data representations and updated release metadata to enable a clean build. No major bugs fixed this month. Overall impact: improved data modeling for energy and transportation domains, smoother release readiness, and clearer configuration management. Technologies demonstrated: data mapping, configuration management, release engineering, and build automation.
September 2025: Focused on expanding data mapping capabilities and kickstarting the new build/release cycle in pik-piam/piamInterfaces. Delivered two feature enhancements to energy/transport data representations and updated release metadata to enable a clean build. No major bugs fixed this month. Overall impact: improved data modeling for energy and transportation domains, smoother release readiness, and clearer configuration management. Technologies demonstrated: data mapping, configuration management, release engineering, and build automation.
March 2025 monthly summary for remindmodel/remind. Focused on metadata quality improvements in CITATION.cff. Delivered a minor formatting enhancement for the author list ('Jarusch Müßel'), with no functional changes. The change consolidates metadata formatting, reduces downstream parsing inconsistencies, and supports future automation around citations. Commit: 99623de376fda4511723f68063c6af2c25cb40de (Update CITATION.cff).
March 2025 monthly summary for remindmodel/remind. Focused on metadata quality improvements in CITATION.cff. Delivered a minor formatting enhancement for the author list ('Jarusch Müßel'), with no functional changes. The change consolidates metadata formatting, reduces downstream parsing inconsistencies, and supports future automation around citations. Commit: 99623de376fda4511723f68063c6af2c25cb40de (Update CITATION.cff).
February 2025 performance summary focusing on feature delivery in two repos, expand modeling coverage, and strengthen project governance. No explicit bug-fix commits are recorded in the provided dataset for this period; the month prioritized feature delivery, data processing fidelity, and attribution/documentation improvements that enable broader modeling scenarios and more robust release management.
February 2025 performance summary focusing on feature delivery in two repos, expand modeling coverage, and strengthen project governance. No explicit bug-fix commits are recorded in the provided dataset for this period; the month prioritized feature delivery, data processing fidelity, and attribution/documentation improvements that enable broader modeling scenarios and more robust release management.
December 2024 monthly work summary focusing on key accomplishments: Delivered SSP1 scenario support features in the MRREMIND R package by adding SSP1 with ICAban scenarios, updated versioning and release dates, and adjusted data generation logic to support the new REMIND model input data. Ensured compatibility with existing workflows and prepared for downstream users to run REMIND simulations with the new scenario inputs.
December 2024 monthly work summary focusing on key accomplishments: Delivered SSP1 scenario support features in the MRREMIND R package by adding SSP1 with ICAban scenarios, updated versioning and release dates, and adjusted data generation logic to support the new REMIND model input data. Ensured compatibility with existing workflows and prepared for downstream users to run REMIND simulations with the new scenario inputs.
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