Fig. 1. Studying cloud systems at different scales. Our framework is used to study the movement of the equatorial Madden Julian Oscillation (MJO) over the Indian Ocean. Given the IR brightness temperatures over the island of Borneo, we first identify the set of clouds. Users can select clouds of interest and track their movement. Smaller scale cloud systems embedded in a MJO move in a westward direction. The manifestation of a convectively coupled kelvin wave results in a temporary eastward movement of parts of the cloud cluster. Such movement can be easily obtained using the querying ability of our framework. The rightmost figure shows a subset of the clouds that move eastward for at least 90 minutes. The temporary movement is indicated by the fact that the movement reverts to its original westward direction after a short duration. Our framework also helps quantify the overall eastward propagation of the MJO.Abstract-We describe a framework to explore and visualize the movement of cloud systems. Using techniques from computational topology and computer vision, our framework allows the user to study this movement at various scales in space and time. Such movements could have large temporal and spatial scales such as the Madden Julian Oscillation (MJO), which has a spatial scale ranging from 1000 km to 10000 km and time of oscillation of around 40 days. Embedded within these larger scale oscillations are a hierarchy of cloud clusters which could have smaller spatial and temporal scales such as the Nakazawa cloud clusters. These smaller cloud clusters, while being part of the equatorial MJO, sometimes move at speeds different from the larger scale and in a direction opposite to that of the MJO envelope. Hitherto, one could only speculate about such movements by selectively analysing data and a priori knowledge of such systems. Our framework automatically delineates such cloud clusters and does not depend on the prior experience of the user to define cloud clusters. Analysis using our framework also shows that most tropical systems such as cyclones also contain multi-scale interactions between clouds and cloud systems. We show the effectiveness of our framework to track organized cloud system during one such rainfall event which happened at Mumbai, India in July 2005 and for cyclone Aila which occurred in Bay of Bengal during May 2009. Index Terms-Cloud clusters, tracking, computational topology, split tree, weather and climate simulations.