Use of thermal signal for the investigation of near-surface turbulence

Matthias Zeeman

Data sets

Temperature and wind field data for Fendt, Germany Matthias Zeeman https://doi.org/10.5281/zenodo.4061242

Meteorology, environment and surface flux data for grassland sites in Germany Matthias Zeeman https://doi.org/10.5281/zenodo.4267888

Management and plant physiology data for grassland sites in Germany Matthias Zeeman https://doi.org/10.5281/zenodo.4267811

Model code and software

ScaleX GitLab: code and data documentation dedicated to the ScaleX campaings Matthias Zeeman https://gitlab.imk-ifu.kit.edu/scalex/

Video supplement

Turbulence Interactions: animation of high-resolution observations of wind and temperature near the surface Matthias Zeeman https://doi.org/10.5446/50229

Short summary

Understanding turbulence near the surface is important for many applications. In this work, methods for observing and analysing temperature structures in a near-surface volume were explored. Experiments were conducted to identify modes of organised motion. These help explain interactions between the vegetation and the atmosphere that are not currently well understood. Techniques used include fibre-optic sensing, thermal infrared imaging, signal decomposition, and machine learning.