Partner networks

MeteoSwiss works closely with specialist cantonal departments and other institutions which operate their own monitoring networks. This allows for gaps in MeteoSwiss's own network to be filled and increases the precision of forecasts and warnings. The quality of all monitoring stations is checked by an independent body.

As a Federal Office, MeteoSwiss has a legal mandate to warn the population and authorities about dangerous weather events. To enable it to make more accurate forecasts, it is of the utmost importance to have temporally and spatially dense, high-quality measurement data, as such data represent a central input variable in weather models. MeteoSwiss thus supplements its own monitoring network comprising automatic ground-based stations (SwissMetNet) with measurement data from specialist cantonal departments and other institutions which operate their own monitoring networks. In total, MeteoSwiss works with around 30 domestic and international partners which operate approximately 1,500 monitoring stations for various fields of application. This allows for gaps in the national monitoring network to be filled and for synergies to be exploited.

Independent certification

The use of measurement data from other monitoring network operators means it is essential that MeteoSwiss, as an ISO-certified Federal Office, ensures the reliability of the measurements and the use of a uniform standard in terms of data quality. To this end, relevant monitoring stations in the SwisMetNet, and those of partners, are subjected to an on-site quality assessment. This is performed by an independent auditor. Only automatic monitoring stations are certified. Among other aspects, the measurement location and instruments, as well as their calibration and maintenance, are checked.

Warnings and forecasts

The partner data flows into MeteoSwiss's data warehouse and is used for various purposes:

  • Warnings
  • Weather forecasts
  • For combination with precipitation radar data
  • For feeding into flood forecasting models by the Federal Office for the Environment (BAFU).
  • For forwarding to the Joint Information Platform for Natural Hazards (GIN)

Further information