Model verification with CRNS proximal sensing in semi-arid regions
The goal of my Ph.D. research is to improve the mesoscale hydrological model (mHM) in semi-arid regions. Current research indicated the potential for improving evapotranspiration (ET) in Europe's water scarce regions, e.g. on the Iberian Peninsula. I use cosmic ray neutron sensing (CRNS), as a novel non-invasive method for estimating soil moisture, and eddy-covariance measurements to calibrate and verify hydrological models with an appropriate descriptions of their structure. To be able to find an optimal model structure for semi-arid regions the mHM soil-vegetation-athmosphere transfer scheme will be added up with additional features to describe ET fluxes and soil moisture states. 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 collected CRNS 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