One viable option to augment existing turbulence observations is to use the Automatic Dependent Surveillance – Broadcast (ADS-B) data to indicate the presence of turbulence. This information can be collected by ground station receivers and can also be accessed by other aircraft to provide situational awareness. A key advantage in using these data is that it avoids the problem of installing additional software and/or hardware on aircraft to make and transmit observations. ADS–B is an element of the U.S. NextGen and Europe’s SESAR enhancements of the airspace system. ADS–B has been required on most aircraft in controlled U.S. airspace as of 2020, and as of 2017 it became mandatory for some aircraft in Europe. The amount of data potentially available from ADS-B is significant. For example, as of July 1, 2023 in U.S. airspace, there are approximately 160,000 aircraft equipped with ADS-B datalink units, of which approximately 105,000 are General Aviation aircraft. Besides networks of ground-based receivers for collecting the ADS-B signals, there is a satellite network that also picks up the signals, which allows for coverage over oceanic and other remote regions.
The National Center for Atmospheric Research (NCAR), sponsored by the Federal Aviation Administration’s (FAA) Weather Technology in the Cockpit (WTIC) program, has developed an operationally useful turbulence detection algorithm using routine ADS-B reports. These efforts began in 2019 and have matured to the point where operational demonstrations are being undertaken, and planning for operational deployment and use in the U.S. is underway. Furthermore, efforts have recently begun with Aireon, a private company that operates a satellite-based ADS-B (SBA) network to investigate the feasibility of applying the FAA-sponsored algorithms to the SBA data feed. We will discuss the algorithmic challenges and how they have been overcome, as well as presenting encouraging results from the various R&D activities, and indicating the path ahead towards operational deployment.
This research is in part in response to requirements and funding by the FAA. The views expressed are those of the authors and do not necessarily represent the official policy or position of the FAA.

