Background and objective
is mankind’s most critical natural resource and must be managed
carefully. Hydrological models are key scientific decision support
tools in water resources management. Hydrological modellers generally
lack data to calibrate and validate their models. Space-borne and
ground based geodetic observations provide valuable calibration and
validation datasets for surface and groundwater flow models and
constrain important hydrological parameters, such as aquifer specific
yield, actual evapotranspiration and runoff coefficients.
This course will cover the following techniques: Space-borne and
ground based time-lapse gravity observations, Radar altimetry, and
Interferometric Synthetic Aperture Radar (InSAR). Time-lapse gravity
gives estimates of total water storage change in the earth system.
Radar/Lidar altimetry provides time series of water level elevations in
rivers, lakes and reservoirs. InSAR can be used to map soil moisture
and wetland water levels.
The course will focus on the theoretical basis of the methods,
data acquisition and processing. We will put emphasis on the
quantitative use of the data in a generalized hydrogeophysical
approach. In this approach, hydrological models are run and the output
of the hydrological models is converted to synthetic geodetic signals.
Subsequently the synthetic and observed geodetic signals are compared
and hydrological model parameters are adjusted to produce an optimal