The Indian summer monsoon (ISM) circulation system and its related abundant rainfalls are crucial for both society, natural ecosystems and economy of the Indian peninsula. The understanding of the spatialtemporal dynamics and the influence of teleconnections is fundamental for improving both seasonal and long-term climatological forecasts of the ISM. During many extreme ISM states, interactions with the midlatitude circulation were detected. The 2010 Indo-Pakistan flooding is an insightful example of such interaction: it occurred simultaneously with the Russian heatwave and the two events were linked via a wavy jet stream pattern. However, the mechanisms that govern the ISMmid-latitudes interaction are not well understood. To improve our understanding of these links, we will apply self-organizing maps (SOMs), a clustering technique using neural networks, causal effect networks (CEN) and other recently developed network tools. SOM analyses give detailed information of the spatial and temporal variability of ISM precipitation and related atmospheric fields. Further, CEN analyses allow us to assess causal pathways between different components of the ISM circulation system and with far-away regions including the mid-latitudes.