The 1D Two-Fluid model has been widely used in industrial simulations to predict two-phase flows in pipelines. Recent advances of the Regime Capturing methodology allow for the detection of flow pattern transitions from the onset and development of interfacial instabilities. However, due to the averaging processes required to reduce the dimensionality of the problem, the loss of information renders the model ill-posed, i.e., short wavelengths disturbances are amplified at an unbounded rate and unphysical solutions are obtained. Closure relations play a key role in this problem, since they are required to close the 1D system. Further, the reintroduction of the missing physics may stabilize the flow and render the model well-posed. The present work proposes a model for the liquid momentum flux parameter based on the liquid film velocity profile that is dependent on the local flow quantities. Linear Stability Theory (LST) can be used to assess the influence of closure parameters in the growth of disturbances and to evaluate the hyperbolicity of the model. A viscous approach of the differential Kelvin-Helmholtz and a discrete von Neumann stability analyses are performed to evaluate commonly employed closure models and the proposed formulations for the liquid momentum flux parameter. Numerical simulations are performed, and numerical dispersion relations are extracted from the results to verify the predictions against LST data. A rigorous numerical evaluation of the novel momentum flux parameter models against a large experimental database taken from the literature is carried out. Results show that the proposed models outperform the standard constant 𝐶𝐿 values for both pressure drop and liquid film thickness. The models also showed better overall consistency throughout the extensive experimental database.