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., Crow, S. E., Heimann, M., Metzler, H., & Schulze, E.-D. (2020). The Climate Benefit of Carbon Sequestration. Biogeosciences Discussions, 2020, in review. https://doi.org/10.5194/bg-2020-198
  2. Metzler, H., Zhu, Q., Riley, W., Hoyt, A., Müller, M., & Sierra, C. A. (2020). Mathematical Reconstruction of Land Carbon Models From Their Numerical Output: Computing Soil Radiocarbon From C Dynamics. Journal of Advances in Modeling Earth Systems, 12(1), e2019MS001776. https://doi.org/10.1029/2019MS001776
  3. Metzler, H. (2020). Compartmental systems as Markov chains : age, transit time, and entropy (T. Oertel-Jäger, I. Pavlyukevich, & C. Sierra, Eds.) [PhD thesis, Friedrich-Schiller-Universiät Jena]. https://suche.thulb.uni-jena.de/Record/1726091651
  4. 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
  5. 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