Integrated hydrologic models characterize catchment responses by coupling the subsurface flow with land surface processes. One
of the major areas of uncertainty in such models is the specification of the initial condition and its influence on subsequent
simulations. A key challenge in model initialization is that it requires spatially distributed information on model states,
groundwater levels and soil moisture, even when such data are not routinely available. Here, the impact of uncertainty in initial
condition was explored across a 208 km2 catchment in Denmark using the ParFlow.CLM model. The initialization impact was
assessed under two meteorological conditions (wet vs dry) using five depth to water table and soil moisture distributions obtained
from various equilibrium states (thermal, root zone, discharge, saturated and unsaturated zone equilibrium) during the model
spin-up. Each of these equilibrium states correspond to varying computation times to achieve stability in a particular aspect of the
system state.
Results identified particular sensitivity in modelled recharge and stream flow to the different initializations, but reduced
sensitivity in modelled energy fluxes. Analysis also suggests that to simulate a year that is wetter than the spin-up period, an
initialization based on discharge equilibrium is adequate to capture the direction and magnitude of surface water–groundwater
exchanges. For a drier or hydrologically similar year to the spin-up period, an initialization based on groundwater equilibrium is
required. Variability of monthly subsurface storage changes and discharge bias at the scale of a hydrological event show that the
initialization impacts do not diminish as the simulations progress, highlighting the importance of robust and accurate
initialization in capturing surface water–groundwater dynamics.
Key Figure
Figure 6. Differences in mean annual DTWT obtained from simulations initialized from a) thermal equilibrium, b) root zone equilibrium, c) discharge
and d) groundwater equilibrium states compared to the baseline simulation for the wet year. No significant differences were observed between the dry
and wet years. Differences in DTWT were larger in a simulation initialized from thermal equilibrium state.
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Last updated 29 November 2013