Evaluation of the WRF-lake model at a large dimictic reservoir: A
comparison with field data and another water temperature model
Abstract
The one-dimensional (1D) lake model, a submodule in the Weather Research
and Forecasting (WRF) system (WRF-lake) was evaluated in a large
dimictic reservoir, Miyun Reservoir, in northern China. Another 1D lake
model, Minlake, which has been successfully applied in this reservoir
and many other lakes/reservoirs, was applied as a reference. Simulated
results showed that Minlake was able to reproduce the whole temperature
profile of Miyun Reservoir accurately. For WRF-lake, although we used
carefully chosen parameterization (the same surface absorption fraction,
light attenuation coefficient and initial temperature as with Minlake,
as well as modified surface roughness lengths), the model still had
imperfect surface temperature simulation and completely inaccurate
simulation in the deep layers. Several numerical experiments were
carried out to study the impact of three factors (thermal diffusivity,
inflow-outflow and topography) on the two 1-D models’ performances, and
we found: (1) Modifying the diffusion coefficient of WRF-lake can
improve the simulation of deep layers but cannot influence the surface
temperature. (2) Inflow-outflow and topography have a significant effect
on the whole temperature profile. Overall, the WRF-lake model can be
coupled with WRF when applied to reservoirs like Miyun, as it can
reproduce surface water temperatures to some extent (Nash–Sutcliffe
efficiency coefficient > 0.9). However, for better model performance in
reservoir physical processes description and more extensive application
to other reservoirs with larger flow rates or larger storage capacity,
optimizing the parameterization for thermal diffusivity, inflow-outflow
and topography needs to be done in future work.