  Recently the regular conditional distributions of max-infinitely divisible
processes were derived by \citet{Dombry2011} and although these conditional
distributions have complicated closed forms, \citet{Dombry2011b} introduce an
algorithm to get conditional realizations of Brown-Resnick processes. In this
paper we derive the regular conditional distributions of the max-stable process
introduced by \citet{Schlather2002} and adapt the framework of
\citet{Dombry2011b} to this specific process. We test the methods on simulated
data and give an application to extreme temperatures in Switzerland. Results
show that the proposed sampling scheme provide accurate conditional simulations
and can handle real-sized problems.
