The classic word cloud remains a popular visualisation technique, also to use for more advanced text exploration and comparison tasks. However, since the standard word cloud does not provide any support for these kinds of analytical tasks, we have created the Word Rain visualisation technique, which is a development of the classic word cloud. The Word Rain technique positions paradigmatically similar words close to each other on the x-axis, which makes it easier to identify semantic word clusters and to carry out comparison tasks. We have previously applied the technique on several different tasks, and we here show how the Word Rain visualisation can support a topical analysis of the text collection content. We first apply the topic modelling tool Topics2Themes to a collection of texts on the subject of climate change, and then use the Word Rain technique to visualise the automatically extracted topics. The Word Rain visualisation applied on the entire text collection provides an overview of its content, sorted according to paradigmatic similarity. When also creating focused word rain visualisations for the extracted topics, a visual semantic profile for each one of the topics is created, which supports the tasks of understanding and comparing topics. We have, thereby, here provided yet an example of how the Word Rain technique can be practically used for visualising and exploring texts.