Ahead of World Meteorological Day, you can help improve weather forecasting models with CAMALIOT, an infrastructure and app that uses GPS from smartphones to support scientific research.
Ahead of World Meteorological Day, you can help 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.
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, the CAMALIOT project was launched in March 2021.
CAMALIOT: Collecting GPS data for scientific research
CAMALIOT was commissioned by the European Space Agency and is led by ETH Zurich in collaboration with IIASA. CAMALIOT (Application of Machine Learning Technology for GNSS IoT Data Fusion) 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 Benedikt Soja, professor of Space Geodesy at the Department of Civil, Environmental, and Geomatic Engineering at ETH Zurich, Switzerland
Read more at: International Institute for Applied Systems Analysis
