Model verification with CRNS proximal sensing in semi-arid regions
The goal of my Ph.D. research is to improve the hydrological model mHM in semi-arid regions. Current research posed questions regarding the model's performance in evapotranspiration estimates in Europe's water scarce regions, e.g. on the Iberian Peninsula. I use cosmic ray neutron sensing, as a novel non-invasive method for estimating soil moisture, and eddy-covariance measurements to calibrate and verify the model with several appropriate descriptions of potential evapotranspiration (and soil water dynamics). A full sensitivity analysis of improved evapotranspiration and soil moisture parameterization in mHM will be performed, as well as a test of the assimilation module COSMIC with the newly collected data.
My work is incorporated in the UFZ Integrated Project T34: Water Scarcity.
MONALISA - Monitoring key environmental parameters in the Alpine Environment involving science, technology and application
Period: 2013 - 2016
HiResAlp - An innovative framework for the integration of multi-source data to determine soil moisture and evapotranspiration at high resolution in Alpine regions
Period: 2013 - 2015
HydroAlp - Modelling the interaction between water cycle, vegetation and climate in Alpine environments
Period: 2011 - 2014