Comparison of results from two 3D hydrodynamic models with field data: internal seiches and horizontal currents

Abstract

Model skills of two 3D hydrodynamic models, ELCOM and Delft3D, were assessed by simulating internal seiches and surface currents and comparing the results with ଏeld data in Upper Lake Constance, Germany. Both models were set up using the same horizontal and vertical discretisation and forced by a horizontally resolved wind ଏeld. Model simulations were carried out during a stable stratiଏcation period in summer. Oscillations of the simulated and the measured isotherms in Lake Überlingen (north basin of Upper Lake Constance) indicated the existence of a Kelvin-type wave with a period of 84 h. The major wave pattern in period and amplitude was consistent between the simulations and the measurements, whereas discrepancies appeared in the phase match. The measured and the simulated vertical velocity structure in the middle of the main basin of Upper Lake Constance showed occurrence of a Poincaré-type wave with a 14 h period. Major oscillations of the velocity structure were captured by both models, and the agreement between the simulations and the measurements was higher in deep layers than in near-surface layers. Model prediction of the near-surface velocities as well as the surface circulation pattern was more accurate under high current velocities during strong winds than under weak winds. This study concluded that both ELCOM and Delft3D were signiଏcantly skilled at simulating internal wave motions and surface currents, and there was no signiଏcant diଏerence in reproducing the measured lake dynamics between ELCOM and Delft3D.

Effects of dimensionality on the performance of hydrodynamic models

“…A large variety of different numerical models have been used for simulating temperature and hydrodynamics in lakes and reservoirs, as well as the biogeochemical and ecological processes that depend on it (e.g. Dissanayake et al, 2019;Guseva et al, 2020;Wang et al, 2020;Xu et al, 2021). While the mechanistic description of underlying physical processes is identical or at least similar in all models, they differ in their dimensionality, i.e.…”

Probability and Consequence of Postfire Erosion for Treatability of Water in an Unfiltered Supply System

“…(2000). Previous applications of ELCOM are widely referenced in limnological studies (Trolle et al., 2012), including studies of reservoir hydrodynamics and sediment transport (Dissanayake et al., 2019; Trolle et al., 2012). AEM3D features in more recent publications describing reservoir and lake modeling (e.g., Madani et al., 2020; Ryu et al., 2020; Tranmer et al., 2018; Valipour et al., 2019; Valerio et al., 2019; Zamani & Koch, 2020).…”

“…The model solves the unsteady Reynolds-averaged Navier-Stokes equations and scalar transport equations with the Boussinesq approximation and hydrostatic pressure terms using the numerical methods described by Casulli and Cheng (1992) and Hodges et al (2000). Previous applications of ELCOM are widely referenced in limnological studies (Trolle et al, 2012), including studies of reservoir hydrodynamics and sediment transport (Dissanayake et al, 2019;Trolle et al, 2012). AEM3D features in more recent publications describing reservoir and lake modeling (e.g., Madani et al, 2020;Ryu et al, 2020;Tranmer et al, 2018;Valipour et al, 2019;Valerio et al, 2019;Zamani & Koch, 2020).…”

A Deep Learning Model Using Satellite Ocean Color and Hydrodynamic Model to Estimate Chlorophyll-a Concentration

“…A hydrodynamic model was used to generate marine physical factors, such as the currents, water level, salinity, and temperature, in the study area. The Delft 3D model, which has been applied in several research areas, was used to simulate three-dimensional hydrodynamics [41][42][43][44]. The model domain extended for 58 km along the north-south direction and 53 km along the east-west direction, to sufficiently cover the study area.…”