The quantitative analysis of rainfall provides an in-depth understanding of the spatio-temporal variation of rainfall patterns. The present study aims to implement complex networks for studying the temporal connections of monthly rainfall in different rainfall regimes of Turkey between 1977 and 2016. The rainfall data of 151 rain gauges were reconstructed in the phase space, and the optimal embedding dimensions (OED) for the optimal delays are selected using the false nearest neighbors (FNN) approach. Subsequently, the reconstructed phase space (RPS) is served as a network, and the strength for each node of the network is calculated by applying a distance criterion. The results showed the utility of the RPS-based network for studying the temporal correlations in rainfall data. Moreover, the regional characteristics and rainfall properties reflect the strength values. The insights gained from the study provide baseline information for climate change adaptation and pave the way to similar applications on a global scale.