Commercial microwave links (CMLs) are viable opportunistic sensors for rainfall (www.smhi.se/memo). However, access to CML data for research and implementation is often very limited. To help in gaining better access and research into CML-derived rainfall we present a dataset at 10 second resolution with true coordinates for 364 bi-directional CMLs gathered during a pilot study in Gothenburg, Sweden. These data are complemented by additional data from 11 high-resolution rain gauges and radar data.
The data are openly shared at https://doi.org/10.5281/zenodo.7107689, to boost rainfall research and applications using CMLs.

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Best paper award for Ying Song et al.
We are delighted to share that Ying Song, along with Martin Fencl and Vojtěch Bareš, received the Best Paper Award for Young Researchers at the