In temporal planning, chronicles can be used to represent the predictive model of durative actions. Unlike the classical state-oriented representation, the usage of chronicles allows a rich temporal qualification of conditions and effects, beyond the mere start and end times of an action. In this paper we propose an extension of the standard chronicle representation to support hierarchical problems. In particular, we show that the addition of temporally qualified subtasks to chronicles makes them suitable to represent not only primitive actions but also HTN methods. We show how the set of solutions to a chronicle-based hierarchical problem can be quite naturally represented as a Constraint Satisfaction Problem (CSP). To associate semantics to this extended chronicle representation, we propose a set of rules that must hold for any solution to the hierarchical problem, specified as constraints on the associated CSP.