Adaptation of Wind Drag Coefficient Parameterization: Improvement of Hydrodynamic Modeling by a Wave‐Dependent Cd in Large Shallow Lakes

Abstract Wind is a critical driving force in hydrodynamic and water quality modeling of large shallow lakes, and is characterized by the wind drag coefficient Cd, representing the momentum transfer at the air‐water interface. Contemporary empirical formulae for Cd estimation were derived over oceans...

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Main Authors: Chen Zhang, Lingwei Chen, Michael T. Brett
Format: Article
Language:English
Published: Wiley 2024-05-01
Series:Water Resources Research
Subjects:
Online Access:https://doi.org/10.1029/2023WR035914
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author Chen Zhang
Lingwei Chen
Michael T. Brett
author_facet Chen Zhang
Lingwei Chen
Michael T. Brett
author_sort Chen Zhang
collection DOAJ
description Abstract Wind is a critical driving force in hydrodynamic and water quality modeling of large shallow lakes, and is characterized by the wind drag coefficient Cd, representing the momentum transfer at the air‐water interface. Contemporary empirical formulae for Cd estimation were derived over oceans and some of which are solely wind velocity U10 dependent. These formulae were previously found to be inadequate in inland lake models often resulting in the water velocity underestimation. To address this problem, a physical scale experiment was designed, in which Cd was measured using a wind profile and eddy covariance methodology. A new wind‐induced wave‐dependent Cd parameterization was also established and validated in two lake studies. The driving force was modified by the wave‐dependent Cd formula in a hydrodynamic model of the shallow Upper Klamath Lake (UKL), OR, USA. The experimental Cd was negatively correlated to the wind velocity up until the critical U10 = 1.6 m s−1 which was 1.0~3.1 times previous empirical extrapolations at light winds. The variation partitioning results showed that wave parameters contributed to more than 30% of Cd variation combined with wind parameters. The modified wind stress field was spatially heterogeneous and the modeled water velocity was closer to the observations at two sites. Significant main circulation and outer bank circulation were modeled accompanied by higher surface vorticity, compared to the original UKL model. Overall, the wave‐dependent Cd formula provided an improvement of the surface flow field in the UKL model and will improve the management of the lake ecosystems.
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spelling doaj-art-d0d994d62b4742efad6a010cba4215d02025-08-20T03:30:56ZengWileyWater Resources Research0043-13971944-79732024-05-01605n/an/a10.1029/2023WR035914Adaptation of Wind Drag Coefficient Parameterization: Improvement of Hydrodynamic Modeling by a Wave‐Dependent Cd in Large Shallow LakesChen Zhang0Lingwei Chen1Michael T. Brett2State Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation Tianjin University Tianjin ChinaState Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation Tianjin University Tianjin ChinaDepartment of Civil and Environmental Engineering University of Washington Seattle WA USAAbstract Wind is a critical driving force in hydrodynamic and water quality modeling of large shallow lakes, and is characterized by the wind drag coefficient Cd, representing the momentum transfer at the air‐water interface. Contemporary empirical formulae for Cd estimation were derived over oceans and some of which are solely wind velocity U10 dependent. These formulae were previously found to be inadequate in inland lake models often resulting in the water velocity underestimation. To address this problem, a physical scale experiment was designed, in which Cd was measured using a wind profile and eddy covariance methodology. A new wind‐induced wave‐dependent Cd parameterization was also established and validated in two lake studies. The driving force was modified by the wave‐dependent Cd formula in a hydrodynamic model of the shallow Upper Klamath Lake (UKL), OR, USA. The experimental Cd was negatively correlated to the wind velocity up until the critical U10 = 1.6 m s−1 which was 1.0~3.1 times previous empirical extrapolations at light winds. The variation partitioning results showed that wave parameters contributed to more than 30% of Cd variation combined with wind parameters. The modified wind stress field was spatially heterogeneous and the modeled water velocity was closer to the observations at two sites. Significant main circulation and outer bank circulation were modeled accompanied by higher surface vorticity, compared to the original UKL model. Overall, the wave‐dependent Cd formula provided an improvement of the surface flow field in the UKL model and will improve the management of the lake ecosystems.https://doi.org/10.1029/2023WR035914wind drag coefficientair‐water momentum transferhydrodynamic modelsurface circulationlarge shallow lakes
spellingShingle Chen Zhang
Lingwei Chen
Michael T. Brett
Adaptation of Wind Drag Coefficient Parameterization: Improvement of Hydrodynamic Modeling by a Wave‐Dependent Cd in Large Shallow Lakes
Water Resources Research
wind drag coefficient
air‐water momentum transfer
hydrodynamic model
surface circulation
large shallow lakes
title Adaptation of Wind Drag Coefficient Parameterization: Improvement of Hydrodynamic Modeling by a Wave‐Dependent Cd in Large Shallow Lakes
title_full Adaptation of Wind Drag Coefficient Parameterization: Improvement of Hydrodynamic Modeling by a Wave‐Dependent Cd in Large Shallow Lakes
title_fullStr Adaptation of Wind Drag Coefficient Parameterization: Improvement of Hydrodynamic Modeling by a Wave‐Dependent Cd in Large Shallow Lakes
title_full_unstemmed Adaptation of Wind Drag Coefficient Parameterization: Improvement of Hydrodynamic Modeling by a Wave‐Dependent Cd in Large Shallow Lakes
title_short Adaptation of Wind Drag Coefficient Parameterization: Improvement of Hydrodynamic Modeling by a Wave‐Dependent Cd in Large Shallow Lakes
title_sort adaptation of wind drag coefficient parameterization improvement of hydrodynamic modeling by a wave dependent cd in large shallow lakes
topic wind drag coefficient
air‐water momentum transfer
hydrodynamic model
surface circulation
large shallow lakes
url https://doi.org/10.1029/2023WR035914
work_keys_str_mv AT chenzhang adaptationofwinddragcoefficientparameterizationimprovementofhydrodynamicmodelingbyawavedependentcdinlargeshallowlakes
AT lingweichen adaptationofwinddragcoefficientparameterizationimprovementofhydrodynamicmodelingbyawavedependentcdinlargeshallowlakes
AT michaeltbrett adaptationofwinddragcoefficientparameterizationimprovementofhydrodynamicmodelingbyawavedependentcdinlargeshallowlakes