Novel Model Predicts COVID-19 Outbreak Two Weeks Ahead of Time

People’s social behavior, reflected in their mobility data, is providing scientists with a way to forecast the spread of COVID-19 nationwide at the county level. Researchers have developed the first data-driven deep learning model with the potential to predict an outbreak in COVID-19 cases two weeks in advance. Feeding the mobility data to epidemiological forecasting models helps to estimate COVID-19 growth as well as evaluating the effects of government policies such as mandating masks on the spread of COVID-19.

Critical solar observations from NSF’s GONG network now maintained by NOAA’s Space Weather Prediction Center

Recently, NSF’s NSO successfully transitioned the processing of these important observations of the Sun’s magnetic field and lower atmosphere to the operational control of NOAA’s Space Weather Prediction Center (SWPC), a move that will ensure reliable delivery of the data to the NOAA’s space weather forecasters who are the nation’s official civilian source for space weather watches, warnings, alerts, and forecasts.

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.

Making space weather forecasts faster and better

To improve the ability to forecast space weather, a multidisciplinary team of researchers, including Professor Boris Kramer at the University of California San Diego, received $3.1 million from the National Science Foundation. The researchers, led by Professor Richard Linares at the Massachusetts Institute of Technology, will also work on speeding up the forecasting abilities that are currently available.

UAlbany Researchers to Develop AI Solutions for Winter Weather at New $20 Million NSF Institute

Researchers at the University at Albany’s Atmospheric Sciences Research Center (ASRC) are contributing to a new National Science Foundation (NSF) institute that will advance the use of artificial intelligence (AI) and machine learning technologies to improve our understanding of weather and climate, including its societal impacts and related decision-making.