  We study the scaling behaviors in the wind velocity time series collected at
the atmospheric surface layer and compare them with two commonly used cascade
models, the truncated stable distribution and the log-normal model. Results
show that although both models can describe the change of probability density
functions from non-Gaussian to Gaussian like distributions with the increase of
time scale, they can not fit the scaling behaviors observed in the probability
of return and in the moments at the same time. This work provides some clues on
the understanding of cascade process in the atmospheric turbulence.
