With initial funding from the ERC as a Proof-of-concept Grant (2019-2022) to Dirk Sachse, we developed a novel, automated rainwater sampler, capable of operation in remote regions that can be accessed via cell phone and satellite networks. This device addresses the increasing need for automated water sampling, especially in remote regions of the Earth, where little long-term data exists. Time series data monitoring the water cycle are essential for identifying the effects of climate change on the water cycle and to address anthropogenic changes.

The autosampler was developed to obtain and store rainwater samples for stable isotope analysis without sample contamination and post-sampling evaporation. It can operate with grid power as well as solar panels and store up to 168 samples. Sampling time can be adjusted, based on sampling needs (days to minutes), and changed remotely. Our section currently operates 6 of these samplers, and we deploy them all over the world. For example, we have used the sampler in campaigns recording the evolution of the Indian Summer Monsoon in the Nepal Himalayas or during ENSO years on the pacific islands of Hawai’i, where we ask questions about the origin of the water vapor source regions and the drivers of isotopic variation in rainwaters.