Rutgers study is the first to model impact of 5G radiation “leakage” on forecasting

5G Wireless May Lead to Inaccurate Weather Forecasts

Upcoming 5G wireless networks that will provide faster cell phone service may lead to inaccurate weather forecasts, according to a Rutgers study on a controversial issue that has created anxiety among meteorologists.

“Our study – the first of its kind that quantifies the effect of 5G on weather prediction error – suggests that there is an impact on the accuracy of weather forecasts,” said senior author Narayan B. Mandayam, a Distinguished Professor at the Wireless Information Network Laboratory (WINLAB), who also chairs the Department of Electrical and Computer Engineering in the School of Engineering at Rutgers University–New Brunswick.

The lead author is Mohammad Yousefvand, a Rutgers electrical engineering doctoral student. Co-authors include Professor Chung-Tse Michael Wu in the Department of Electrical and Computer Engineering, Professor Ruo-Qian (Roger) Wang in the Department of Civil and Environmental Engineering and Joseph Brodie, director of atmospheric research in the Rutgers Center for Ocean Observing Leadership.

The Rutgers study used computer modeling to examine the impact of 5G “leakage” – unintended radiation from a transmitter into an adjacent frequency band or channel – on forecasting the deadly 2008 Super Tuesday Tornado Outbreak in the South and Midwest.

The signals from the 5G frequency bands potentially could leak into the band used by weather sensors on satellites that measure the amount of water vapor in the atmosphere and affect weather forecasting and predictions. Meteorologists rely on satellites for the data needed to forecast weather.

“It can be argued that the magnitude of error found in our study is insignificant or significant, depending on whether you represent the 5G community or the meteorological community, respectively,” Mandayam said. “One of our takeaways is that if we want leakage to be at levels preferred by the 5G community, we need to work on more detailed models as well as antenna technology, dynamic reallocation of spectrum resources and improved weather forecasting algorithms that can take into account 5G leakage.”

Read the complete article at