A multiscale eddy simulation methodology for the atmospheric Ekman boundary layer

• Published in: Geophysical and astrophysical fluid dynamics Vol. 109; no. 1; pp. 1 - 20
• Main Authors: Alam, Jahrul, Islam, Mo Rokibul
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 02.01.2015; Taylor & Francis Ltd
• Subjects: Asymptotic methods; Asymptotic properties; Atmospheric modeling; Atmospherics; Boundary layer; Computational fluid dynamics; Eddies; Ekman boundary layer; Large eddy simulation; Marine; Methodology; Multiscale modeling; Parametrization; Simulation; Turbulent flow; Wavelet; Wavelet transforms
• ISSN: 0309-1929; 1029-0419
• DOI: 10.1080/03091929.2014.975127

In a large eddy simulation (LES), resolving the wide spectrum of large turbulent eddies from to in the atmospheric boundary layer (ABL) requires computational degrees of freedom; however, these eddies are intermittent in space and time. In this research, we take advantage of the spatial intermittency in a neutrally stratified atmospheric Ekman boundary layer, and study the development of a novel LES methodology. Using the second generation wavelet transform, the proposed model filters the large eddies into distinct groups of significant and insignificant eddies. We show that the significant eddies are sufficient to resolve the physics of the flow. The effects of insignificant eddies are modelled with the proposed multiscale parameterization scheme. The results of the proposed model have been found to be in good agreement with that of an equivalent reference model, experimental data, and asymptotic boundary layer theory. We have found that the number of significant eddies in a neutrally stratified ABL is much lower than the number of resolved eddies in a reference model. The overall algorithm is asymptotically optimal - the CPU time is approximately proportional to the number of resolved eddies. The proposed methodology suggests a potentially novel research direction that may be employed to address a number of computational challenges that must be faced in the field of atmospheric modeling.