Project investigating the combination of physics and machine learning as well as causality for Earth system observations and modeling in collaboration with Prof. Eyring (DLR), Prof. Reichstein (MPI-Jena) and Prof. Camps-Valls (U. Valencia)
High-resolution spatial and temporal measurements in the surface layer (Department of Energy Early Career)
We are using high resolution spatial and temporal measurements of turbulence using Distributed Temperature Sensing (DTS). Some of the questions we have answered are: is Taylor’s hypothesis valid in the atmospheric boundary layer or does it need to be corrected.
A good summary of the benefits of being diverse in academia and why the entire group benefit form it https://www.pnas.org/content/117/17/9284
Daniel is heading to NCAR and will continue working on plant hydraulics - congrats Daniel!
Dr. Green :) is heading to LSCE in Paris