Holger Metzler

PhD Student

Email:
Holger Metzler
Post:
Max Planck Institute for Biogeochemistry, Postbox 10 01 64 - 07701 Jena, Germany
Phone:
+ 49 3641 576144
:
GitHub

Research interests

Coming from mathematics with particular interest in stochastics and measure theory, I study soil system models. My research focuses on improving the scaling of nonlinear models from the microbial to the global scale.

Education

  • 1990 - 1994: Primary school of Föritz

  • 1994 - 2002: 1. Staatliches Gymnasium Sonneberg

  • 2002 - 2008: Diploma in mathematics at Friedrich Schiller University Jena

    • Major subject: stochastics
    • Minor subject: theoretical computer sciences
    • Thesis title: Das Itô-Nisio-Theorem
  • 2008 - 2012: Ergodic Backward Stochastic Differential Equations in Infinite Dimensions at Università di Milano-Bicocca

  • 2012 - 2015: Teaching at Friedrich Schiller University Jena

Teaching

  • 2012 - 2013: Lineare Algebra und Analytische Geometrie 1 (Lehramt Gymnasium), exercises, Prof D. Green, Friedrich Schiller University Jena

  • 2013 - 2014: Analysis II (Lehramt Regelschule), tutorial, Dr H. Kempka, Friedrich Schiller University Jena

  • 2014:

    • Grundlagen der Analysis für Informatiker, exercises, Dr E. Dietzel, Friedrich Schiller University Jena
    • Gewöhnliche Differentialgleichungen, exercises, Prof D. Hasler, Friedrich Schiller University Jena
  • 2014 - 2015: Mathematik für Chemie und Biogeowissenschaften, exercises, Dr C. Richter, Friedrich Schiller University Jena

Publications

  1. Sierra, C. A., Ceballos-Núñez, V., Metzler, H., & Müller, M. (2018). Representing and Understanding the Carbon Cycle Using the Theory of Compartmental Dynamical Systems. Journal of Advances in Modeling Earth Systems, 10(8), 1729–1734. https://doi.org/10.1029/2018MS001360
  2. Metzler, H., Müller, M., & Sierra, C. A. (2018). Transit-time and age distributions for nonlinear time-dependent compartmental systems. Proceedings of the National Academy of Sciences, 115(6), 1150–1155. https://doi.org/10.1073/pnas.1705296115
  3. Metzler, H., & Sierra, C. A. (2018). Linear Autonomous Compartmental Models as Continuous-Time Markov Chains: Transit-Time and Age Distributions. Mathematical Geosciences, 50(1), 1–34. https://doi.org/10.1007/s11004-017-9690-1
  4. Sierra, C. A., Müller, M., Metzler, H., Manzoni, S., & Trumbore, S. E. (2017). The muddle of ages, turnover, transit, and residence times in the carbon cycle. Global Change Biology, 23(5), 1763–1773. https://doi.org/10.1111/gcb.13556