  In this work, we introduce a kind of spatiotemporal bounded noise derived by
the sine-Wiener noise and by the spatially colored unbounded noise introduced
by Garc\'ia-Ojalvo, Sancho and Ram\'irez-Piscina (GSR noise). We characterize
the behavior of the distribution of this novel noise by showing its dependence
on both the temporal and the spatial autocorrelation strengths. In particular,
we show that the distribution experiences a stochastic transition from
bimodality to trimodality.
  Then, we employ the noise here defined to study phase transitions on
Ginzburg-Landau model. Various phenomena are evidenced by means of numerical
simulations, among which re-entrant transitions, as well as differences in the
response of the system to GSR noise additive perturbations.
  Finally, we compare the statistical behaviors induced by the sine-Wiener
noise with those caused by 'equivalent' GSR noises.
