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Process-Based Modelling and Uncertainty Quantification of Perennial Wheat Growth in Southern Sweden

  • Author: Christian Burmester
  • Institution: Lund University (LU)
  • Programme: Master's Programme in Applied Computational Science - Physical Geography
  • Year: 2026
  • Supervisor: Adrian Gustafson (LU), Anna-Kristina Voss (LU)

Overview

This repository accompanies a thesis investigating the adaptation and evaluation of a process-based crop model for intermediate wheatgrass (Thinopyrum intermedium; IWG) — a perennial grain crop under investigation to replace annual cereals in Skåne, Sweden. The model simulates aboveground biomass accumulation, grain filling, and leaf area development under observed (2023–2025) and projected climate scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5), with extensions for water stress, grain fill, and root depth dynamics.


Data & Code Availability

The data and analysis code supporting this thesis are not publicly hosted but are available upon reasonable request.

To request access, please contact:

[Christian Burmester] 📧 [jchburmester@outlook.com]

Please briefly describe your intended use when reaching out.


Repository Contents

This repository currently serves as a public placeholder. Full materials may be made available following completed thesis examination and any applicable embargo period.


Citation

A formal citation will be provided upon publication as student paper through Lund University. Please check back here or get in touch if you like to reference this work in the meantime.


License

© [Christian Burmester (Lund University)], 2026. All rights reserved pending publication.

About

Modelling and Evaluation framework for the Master Thesis "Rooting in Soil and Science: Process-Based Modelling and Uncertainty Quantification of Perennial Wheat Growth in Skane, Sweden" (2026, Lund University)

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