Abstract
Abstract. We introduce EcH2O-iso, a new development of the physically based,
fully distributed ecohydrological model EcH2O where the tracking of
water isotopic tracers (2H and 18O) and age has
been incorporated. EcH2O-iso is evaluated at a montane, low-energy
experimental catchment in northern Scotland using 16 independent isotope time
series from various landscape positions and compartments, encompassing soil
water, groundwater, stream water, and plant xylem. The simulation results
show consistent isotopic ranges and temporal variability (seasonal and
higher frequency) across the soil profile at most sites (especially on
hillslopes), broad model–data agreement in heather xylem, and consistent
deuterium dynamics in stream water and in groundwater. Since
EcH2O-iso was calibrated only using hydrometric and energy flux
datasets, tracking water composition provides a truly independent validation
of the physical basis of the model for successfully capturing catchment
hydrological functioning, both in terms of the celerity in energy propagation
shaping the hydrological response (e.g. runoff generation under prevailing
hydraulic gradients) and flow velocities of water molecules (e.g. in
consistent tracer concentrations at given locations and times). Additionally,
we show that the spatially distributed formulation of EcH2O-iso has
the potential to quantitatively link water stores and fluxes with
spatiotemporal patterns of isotope ratios and water ages. However, our case
study also highlights model–data discrepancies in some compartments, such as
an over-dampened variability in groundwater and stream water lc-excess, and
over-fractionated riparian topsoils. The adopted minimalistic framework,
without site-specific parameterisation of isotopes and age tracking, allows
us to learn from these mismatches in further model development and
benchmarking needs, while taking into account the idiosyncracies of our study
catchment. Notably, we suggest that more advanced conceptualisation of soil
water mixing and of plant water use would be needed to reproduce some of the
observed patterns. Balancing the need for basic hypothesis testing with that
of improved simulations of catchment dynamics for a range of applications
(e.g. plant water use under changing environmental conditions, water quality
issues, and calibration-derived estimates of landscape characteristics),
further work could also benefit from including isotope-based calibration.
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