NDLI: Large-Eddy Simulation-Based Retrieval of Dissipation from Coherent Doppler Lidar Data

Content Provider	Springer Nature Link
Author	Krishnamurthy, Raghavendra Calhoun, Ronald Fernando, Harindra
Copyright Year	2010
Abstract	Accurate estimation of dissipation rate is important in understanding and analyzing turbulent flows found in environment and engineering processes. Many previous studies have focused on measuring the local dissipation rate at a single point or averaged dissipation rate over a suitable area. Since coherent Doppler lidar is capable of providing multi-point measurements covering a large spatial extent, it is well-suited for examining the distribution of dissipation in the atmosphere. In this paper, an approach is presented that is based on retrieving the dissipation rate from coherent Doppler lidar data using large-eddy simulation. Two Coherent Doppler lidars performed range height indicator (RHI) scans of a vertical/cross-barrier plane during the Terrain-induced Rotor Experiment (T-REX). Two-dimensional velocity vectors were retrieved using a least squares method. The velocity vectors retrieved from co-planar RHI scans are used to estimate subgrid scale (SGS) quantities through a known SGS parameterization. For the T-REX datasets analyzed, the dissipation rate was found to increase in the presence of rotors, subrotors, and, as expected, in regions of high wind shear. Owing to the presence of sharper gradients in subrotors, their dissipation rate is generally larger than that of rotors.
Starting Page	45
Ending Page	57
Page Count	13
File Format	PDF
ISSN	00068314
Journal	Boundary-Layer Meteorology
Volume Number	136
Issue Number	1
e-ISSN	15731472
Language	English
Publisher	Springer Netherlands
Publisher Date	2010-05-08
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Dissipation rate Doppler lidar Large-eddy simulations Rotors Subgrid scales Subrotors T-REX Atmospheric Protection/Air Quality Control/Air Pollution Meteorology/Climatology
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science

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