Accurate estimation of third-order moments from turbulence measurements

Politano and Pouquet’s law, a generalization of Kolmogorov’s four-fifths law to incompressible MHD, makes it possible to measure the energy cascade rate in incompressible MHD turbulence by means of third-order moments. In hydrodynamics, accurate measurement of thirdorder moments requires large amounts of data because the probability distributions of velocity-differences are nearly symmetric and the third-order moments are relatively small. Measurements of the energy cascade rate in solar wind turbulence have recently been performed for the first time, but without careful consideration of the accuracy or statistical uncertainty of the required third-order moments. This paper investigates the statistical convergence of third-order moments as a function of the sample size N . It is shown that the accuracy of the third-moment 〈(δv‖)〉 depends on the number of correlation lengths spanned by the data set and a method of estimating the statistical uncertainty of the thirdmoment is developed. The technique is illustrated using both wind tunnel data and solar wind data.