Army Research Laboratory White Sands Missile Range , NM 88002-5513 ARL-TR-4953 September 2009 Three-Dimensional Turbulence Measurements in the Atmospheric Surface Layer : Experimental Design and Initial Analysis

Abstract : The Three-Dimensional Turbulence Structure (3DTS) Test conducted in the spring of 2008 consisted of a series of measurements designed to sense three-dimensional temperature and wind turbulence structures in the near surface atmosphere. The means of performing this characterization task involved time dependent measurements taken using an array of 23 RM Young 81000 sonic anemometers. Data were sampled at 20 Hz at positions across a two-dimensional grid mounted on three towers oriented perpendicular to the expected prevailing wind. Observations were made over a 60-day period with a number of multiday sequences of continuous observations between April and June 2008. The experiment was conducted at White Sands Missile Range, NM, under dry conditions with periodic strong wind events. The dry conditions were conducive to high variations in turbulent stability conditions over diurnal cycles. Cloud coverage was minimal throughout the period. This report documents the major features of the test, including the setup, tower configuration, wind, temperature, and stability states observed, and data availability. In all, over 300 hours of complete sensor data sets were available. Stability conditions present, as characterized by the 2 m temperature gradient, ranged between -0.35 C/m during the daytime to upwards of +0.75 C/m at night, indicating significant periods of strong stable conditions.

[1]  Anna Consortini,et al.  Estimate method for outer scale of atmospheric turbulence , 2002 .

[2]  J. Lumley,et al.  The return to isotropy of homogeneous turbulence , 1977, Journal of Fluid Mechanics.

[3]  T. W. Horst,et al.  HATS: Field Observations to Obtain Spatially Filtered Turbulence Fields from Crosswind Arrays of Sonic Anemometers in the Atmospheric Surface Layer(. , 2004 .

[4]  P. Guest,et al.  Probability distributions for the refractive index structure parameter and the inner scale of turbulence and their implications for flux averaging , 2003 .

[5]  Larry Mahrt,et al.  Multiresolution Flux Decomposition , 1997 .

[6]  John L. Lumley,et al.  Computational Modeling of Turbulent Flows , 1978 .

[7]  R. J. Hill Corrections to Taylor's frozen turbulence approximation , 1996 .

[8]  J. Wyngaard,et al.  Resolvable- and Subgrid-Scale Measurement in the Atmospheric Surface Layer: Technique and Issues , 1998 .

[9]  A. Kolmogorov,et al.  The local structure of turbulence in incompressible viscous fluid for very large Reynolds numbers , 1991, Proceedings of the Royal Society of London. Series A: Mathematical and Physical Sciences.

[10]  David H. Tofsted,et al.  Turbulence Simulation: Outer Scale Effects on the Refractive Index Spectrum , 2000 .

[11]  J. Kaimal,et al.  Spectral Characteristics of Surface-Layer Turbulence , 1972 .

[12]  T. W. Horst,et al.  Structure of subfilter-scale fluxes in the atmospheric surface layer with application to large-eddy simulation modelling , 2003, Journal of Fluid Mechanics.