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We present a statistical model for the distribution of increments of wind velocity and temperature of turbulence data measured in the atmospheric surface layer above the Amazonian forest, on a micrometeorological tower in Rebio-Jaru Reserve (10° 04' S; 61° 56' W) during LBA (Large Scale Biosphere Atmosphere Experiment in Amazonia) wet season campaign. The data were measured using 3D Campbell sonic anemometer and a Campbell fast response thermometer located at a height of 66 m (the forest canopy has a mean height of 35 m; but some of the higher tree branches may reach the height of 45 m), at a sampling rate of 60 Hz. The goal of this investigation is to detect noextensivity properties of the turbulent field in such a peculiar environment. To do this we calculate the probability density function (PDF) for wind velocity increments V r (x) = V(x) - V(x+r) (and temperature increments) at different length scales r. The preliminary results show some evidence that the nonextensive thermostatistics modelling proposed by Tsallis (1988) provides a new and simple framework for explaining the statistical behavior of fully developed mechanical turbulence. We also investigate the relationship between intermittency and nonextensivity using a single parameter q, from Tsallis thermostatistics. The results of the wind velocity turbulent signals measured at the level of 66m show a very good agreement with the Tsallis model but the temperature signals show some discrepancy with respect to the proposed model. Physical discussions are proposed to explain our results.

Turbulent velocity and temperature probability density functions in the Amazonian surface boudary layer