Validating Variance Similarity Functions in the Entrainment Zone using observations and LES simulations

 
Poster PDF

Authors

Mohammed Osman — University of Oklahoma
Thijs Heus — Cleveland State University
David D. Turner — NOAA- Global Systems Laboratory
Rob K Newsom — Pacific Northwest National Laboratory

Category

Boundary layer structure, including land-atmosphere interactions and turbulence

Description

In previous work, the water vapor variance in the entrainment zone above the convective boundary layer (CBL) was proposed to be proportional to the convective velocity scale, gradient water vapor mixing ratio and the Brunt-Vaisala frequency in the interfacial layer, while the variance of the vertical wind at in the entrainment zone was defined in terms of the convective velocity scale. However, mechanical mixing due to wind shear will contribute the variance in the entrainment zone also, and has been hypothesized as two distinct functions that depend on the Richardson number. In the study, we test these hypotheses using Raman lidar, Doppler lidar, radar wind profiler, and surface energy balance observations and numerically using a Large eddy simulation (LES) modeling. Simultaneous measurements of the Eddy correlation surface flux, wind shear profiles from wind profilers, and variance profile measurements of vertical motions and water vapor by Doppler and Raman lidars, respectively, provide a unique opportunity to thoroughly examine the functions used in defining the variances and validate them. These observations were made over the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site. We have identified 30 cases from 2016 during which the CBL is quasi-stationary and well mixed for at least 2 hours. Utilizing this unique combination of observations, the study focuses on extensively testing the hypotheses that the second-order moments are indeed proportional to the functions which also depend on Richardson number. Furthermore, we simulated the CBL using an LES model for the selected cases at the SGP site and derived the variances to test the similarity functions. The coefficients that are used in defining the functions will also be determined observationally and compared against with the values suggested by LES studies.