This paper proposes an on-manifold derivation of the probabilistic ICP (pIC) and its adaptation in the context of autonomous underwater karst exploration. As vision-based methods may fail due to water turbidity, we have to rely on acoustic sonar measurements. This work leverages previous results on elevation angle estimations of wide-beam profiling sonar and adapts the pIC to the obtained point distributions.