Use your cellphone to improve weather forecasts

Help to improve weather forecasting models with CAMALIOT, an infrastructure and app that uses GPS from smartphones to support scientific research. Join our crowdsourcing campaign on 17 March 2022  ̶  any person with access to an Android cellphone is invited to download the free app and participate. CAMALIOT was commissioned by the European Space Agency and is led by Benedikt Soja, professor of space geodesy at D-BAUG at ETH Zurich.

by Iris Mickein
View of two phones with a satelite

It is a well-known issue that weather forecasts are sometimes not that accurate. There is therefore still a lot of potential to explore additional data sources to improve weather prediction models. A large quantity of GPS data from smartphones and satellite navigation devices could help to improve the general understanding of weather phenomena and make these models more precise. To this end, CAMALIOT (Application of Machine Learning Technology for GNSS IoT Data Fusion) was launched in March 2021.

CAMALIOT: Collecting GPS data for scientific research

CAMALIOT was commissioned by ESA and is led by Benedikt Soja, professor of space geodesy at the Department of Civil, Environmental and Geomatic Engineering at ETH Zurich in collaboration with the International Institute for Applied Systems Analysis (IIASA) in Vienna. The project aims to build an infrastructure needed for the gathering of large volumes of observations from GPS-capable receivers of various kinds and quality. This infrastructure is being developed in the group of Professor Soja.

The CAMALIOT Android app allows users to access and collect raw GPS satellite data from individual cellphones, taking advantage of dual frequency and multi-constellation chipsets now available in modern Android cellphones. The app was designed by IIASA, where Linda See, a researcher in the Novel Data Ecosystems for Sustainability Research Group, oversaw the project.

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How to get involved

The crowdsourcing campaign starts on 17 March 2022 and will run for four months, collecting data from as many locations as possible through a citizen science approach. Interested citizens and researchers are encouraged to download the free app and collect data (ideally while keeping the phone static and with a good view of the sky) and then to upload the data to the CAMALIOT server.

The collected data will be ingested in artificial intelligence systems for the determination of tropospheric parameters to support weather forecasts on Earth, as well as the monitoring of weather in space, which is important for satellite operations and communications.

“By using the CAMALIOT app to help us collect data, people will not only be helping us to improve weather forecasting and the general understanding of weather phenomena, but also to investigate new scientific opportunities that could benefit society in the future,” note Soja and See.

All data will be treated anonymously and only stored on European servers. Learn more about CAMALIOT and how you can participate on the dedicated Downloadwebsite. The CAMALIOT mobile app is also available from the DownloadGoogle Play Store.

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