  Using the random intensity of noise (RIN) approach to the one-dimensional
Laval-Dubrulle-Nazarenko type model for the Lagrangian acceleration in
developed turbulence [cond-mat/0305186, cond-mat/0305459] we study the
probability density function and mean acceleration conditional on velocity
fluctuations. The additive noise intensity and the cross correlation between
the additive and multiplicative noises are assumed to be dependent on velocity
fluctuations in an exponential way. The obtained fit results are found to be in
a good qualitative agreement with the recent experimental data on the
conditional acceleration statistics by Mordant, Crawford, and Bodenschatz. The
fit to the observed conditional mean acceleration is of pure illustrative
character which is performed to study influence of variation of the cross
correlation parameter on the shape of conditional acceleration distribution and
conditional acceleration variance. The conditional mean acceleration should be
zero for homogeneous isotropic turbulence. The observed conditional mean
acceleration increases for bigger velocity fluctuation amplitude and is
associated to anisotropy of the studied flow.
