Archive/An Empirical Model for Non-Linear Pressure Drag Across Non-Hydrostatic Flow Regimes with Trapped Lee Waves
An Empirical Model for Non-Linear Pressure Drag Across Non-Hydrostatic Flow Regimes with Trapped Lee Waves
José Luis Argain
July 7, 2026
en

Abstract

This study introduces a novel empirical model to estimate the total pressure drag generated by trapped lee waves (TLW) and upward-propagating internal waves in moderate-to-strong non-hydrostatic, stratified flow over a mountain ridge, as a function of flow non-linearity. The core framework is based on a two-layer atmosphere characterized by a piecewise-constant Scorer parameter, l, where a lower layer of constant l1 underlies an upper layer with l2<l1. This framework incorporates key features to extend beyond idealized assumptions, providing a reliable tool for predicting non-linear flow regimes over mountainous terrain, particularly those featuring realistic vertical profiles of the Scorer parameter. To develop the empirical formulation, a micro- to mesoscale numerical model is employed to simulate realistic, non-linear flows over steep topography. The proposed empirical model yields results that compare favorably with numerical simulations across a range of moderate-to-strong non-hydrostatic regimes, including complex cases derived from observational data and realistic vertical profiles of the Scorer parameter. The model demonstrates robust performance ranging from strongly to moderately non-hydrostatic regimes (the latter corresponding to dimensionless half-widths of approximately 5), and provides accurate drag estimates for non-linearities up to a dimensionless mountain height of approximately unity. Therefore, this empirical approach serves as a valuable foundation for improving drag parameterizations in weather prediction models, offering a computationally efficient alternative to high-resolution numerical downscaling over steep terrain.

IPC Classification

G06

Keywords

empiricalmodelnon-linearpressuredragacrossnon-hydrostaticflowregimestrappedwavesmeteorologyintroducesnovelestimatetotalgeneratedupward-propagatinginternalmoderate-to-strongstratifiedmountainridgefunction
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