Extended self-similarity of atmospheric boundary layer wind fields in mesoscale regime: Is it real?

  title={Extended self-similarity of atmospheric boundary layer wind fields in mesoscale regime: Is it real?},
  author={Velayudhan Praju Kiliyanpilakkil and Sukanta Basu},
  journal={arXiv: Fluid Dynamics},
In this letter, we study the scaling properties of multi-year observed and atmospheric model-generated wind time series. We have found that the extended self-similarity holds for the observed series, and remarkably, the scaling exponents corresponding to the meoscale range closely match the well-accepted inertial-range turbulence values. However, the scaling results from the simulated time series are significantly different. 

Figures and Tables from this paper

Scaling Properties of Atmospheric Wind Speed in Mesoscale Range
The scaling properties of turbulent flows are well established in the inertial sub-range. However, those of the synoptic-scale motions are less known, also because of the difficult analysis of dataExpand
Scale-Dependent Turbulent Dynamics and Phase-Space Behavior of the Stable Atmospheric Boundary Layer
The structure of turbulent dynamics in a stable atmospheric boundary layer was studied by means of a phase-space description. Data from the CASES-99 experiment, decomposed in local modes (withExpand
A Multifractal Random-Walk Description of Atmospheric Turbulence: Small-Scale Multiscaling, Long-Tail Distribution, and Intermittency
The prevalent multifractal characteristics of turbulent velocity fluctuations in the atmosphere are important for estimating various wind effects in wind engineering. Here, the multifractalExpand
Multiscale Characterization of the Probability Density Functions of Velocity and Temperature Increment Fields.
DEMARCO, ADAM WARD. Multiscale Characterization of the Probability Density Functions of Velocity and Temperature Increment Fields. (Under the direction of Dr. Sukanta Basu and Dr. Russell Philbrick.)Expand
On the tails of the wind ramp distributions
We analyzed several multiyear wind speed datasets from 4 different geographical locations. The probability density functions of wind ramps from all these sites revealed remarkably similar shapes. TheExpand


Extended self-similarity in the dissipation range of fully developed turbulence
In this letter we report further experimental evidence of extended self-similarity in the structure functions of the velocity field of fully developed turbulence. We study the behaviour of high-orderExpand
Scaling property of turbulent flows.
This interpretation predicts that, even in cases when ESS is not observed, a generalized self-scaling must be observed. Expand
Extended self-similarity in turbulent flows.
Extended self-similarity (ESS) holds at high as well as at low Reynolds number, and it is characterized by the same scaling exponents of the velocity differences of fully developed turbulence. Expand
On the Scaling of the Velocity and Temperature Structure Functions in Rayleigh-Bénard Convection
In this letter we study, both experimentally and numerically, the scaling properties of Rayleigh-Benard turbulent convection. To this aim we develop a new methodology which is based upon theExpand
Estimating intermittency exponent in neutrally stratified atmospheric surface layer flows: A robust framework based on magnitude cumulant and surrogate analyses
This study proposes a novel framework based on magnitude cumulant and surrogate analyses to reliably detect the presence of intermittency and estimate the intermittency coefficient from short-lengthExpand
On the intermittent energy transfer at viscous scales in turbulent flows
In this letter we present numerical and experimental results on the scaling properties of velocity turbulent fields in the range of scales where viscous effects are acting. A generalized version ofExpand
Evidence for inherent nonlinearity in temporal rainfall
We examine the underlying structure of high resolution temporal rainfall by comparing the observed series with surrogate series generated by a invertible nonlinear transformation of a linear process.Expand
Great Plains Turbulence Environment: Its Origins, Impact, and Simulation
This paper summarizes the known impacts of nocturnal turbulence on wind turbine performance and operations.
Turbulence: The Legacy of A. N. Kolmogorov
Preface 1. Introduction 2. Symmetries and conservation laws 3. Why a probabilistic description of turbulence? 4. Probabilistic tools: a survey 5. Two experimental laws of fully developed turbulenceExpand
Revisiting algorithms for generating surrogate time series
It is demonstrated that commonly used algorithms for generating surrogates often fail to generate truly linear time series, and it is argued that reliable surrogates can only be generated, if one tests separately for static and dynamic nonlinearities. Expand