Abstract
AbstractThis work presents a new method for closure of horizontally averaged 1‐D thermohydrodynamic equations in an enclosed reservoir by parameterizing the horizontal pressure gradient usually omitted in 1‐D lake models. Horizontal pressure gradient is computed using an auxiliary multilayer model where horizontal structure of speed and pressure is given by 1‐st Fourier mode. A major effect of new parameterization in 1‐D lake model is the emergence of explicitly reproduced H1 seiche modes. The parameterization is implemented in the LAKE model, with minor (2–4%) extra computational cost imposed. The model is applied to Lake Iseo (Italy), and calculated temperature series are compared to measured ones in upper, middle, and deep portions of metalimnion. The amplitude of seiche‐induced temperature oscillations well matched the observed amplitude by tuning the bottom friction coefficient only. The synoptic variability of thermocline vertical displacement caused by wind events is well reproduced by the model. The dominant peak of quasi‐diurnal period in temperature power spectrum was captured in simulations as well. Using the new parameterization of horizontal pressure gradient extends the applicability of a 1‐D lake model formulation to small lakes, which size is less than internal Rossby radius, and where pressure gradient dominates over Coriolis force.
Highlights
One-dimensional lake models representing vertical distribution of major physical and biogeochemical water properties are widely used in hydrological and climate sciences (Janssen et al, 2015)
Using the new parameterization of horizontal pressure gradient extends the applicability of a 1-D lake model formulation to small lakes, which size is less than internal Rossby radius, and where pressure gradient dominates over Coriolis force
This work presents a new method for closure of horizontally averaged 1-D thermohydrodynamic equation set in an enclosed reservoir
Summary
One-dimensional lake models representing vertical distribution of major physical and biogeochemical water properties are widely used in hydrological and climate sciences (Janssen et al, 2015). The first approach classically chosen for velocity is to treat shear-induced mixing effects as they are in infinite horizontally homogeneous rotating boundary layer. This approach is involved in widely used lake models, such as FLake (Mironov et al, 2010), Hostetler (Hostetler et al, 1993), and CLIM4-LISSS (Subin et al, 2012) models, the later both based on Henderson-Sellers mixing parameterization (Henderson-Sellers, 1985). The 1-D models based on k − ε turbulence closure rely on the same assumption, that is, solving 1-D momentum equations with only vertical viscosity and Coriolis force (Burchard, 2002; Jöhnk & Umlauf, 2001) driving
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