Document Type
Article
Publication Date
1-2019
Abstract
Knowledge of and the ability to predict lifting condensation levels (LCL) is important ingredient in weather predictions, cloud formation, planetary albedo and Earth’s energy balance. It is also essential topic in aviation safety and flight operations. In this article, we derive a new model of LCL and compare it to some older commonly-used models. This includes also the recently published Romps’ (2017) model. The new model presented here includes dependence, however weak, of the surface atmospheric pressure and the specific humidity on the LCL height and temperature. Such is not the case with widely used models and expressions by Espy and FAA among others, which neglect the effect of atmospheric pressure and specific humidity. We also present an iterative successive-approximations numerical method on computations of the LCL temperature and compare it with closed-form Bolton’s model. All these LCL models assume constant atmospheric lapse rate, which is the result of isentropic lifting including adiabatic cooling of moist air. Air pressure at LCL height is computed using Poisson’s equation. Our model predictions come close to the exact solution of LCL parameters in terms of Lambert’s special functions by Romps’, but more efforts are required to understand all the differences.
Department
Aviation
Online ISSN
2374-6793
Publication Title
International Journal of Aviation Aeronautics and Aerospace
Recommended Citation
Daidzic, N. E. (2019). A new model for lifting condensation levels estimation. International Journal of Aviation, Aeronautics, and Aerospace, 6(5) Article 1. https://doi.org/10.15394/ijaaa.2019.1341
DOI
10.15394/ijaaa.2019.1341
Link to Publisher Version (DOI)
Publisher's Copyright and Source
Copyright © 2019 Scholarly Commons.
Originally published by Scholarly Commons in 2019 in International Journal of Aviation, Aeronautics, and Aerospace, 6(5), Article 1.
https://doi.org/10.15394/ijaaa.2019.1341
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Included in
Applied Mathematics Commons, Atmospheric Sciences Commons, Aviation Commons, Engineering Physics Commons, Meteorology Commons