Stanford University researchers Noah Diffenbaugh and Frances Davenport provide an insight into a new machine learning model they developed that uses atmospheric patterns to predict extreme precipitation that may lead to flooding.
Helen has worked for UKi Media & Events for more than a decade. She joined the company as assistant editor on Passenger Terminal World and has since progressed to become editor of five publications, covering everything from aviation, logistics and automotive to meteorology. She has a love for travel and property and has redeveloped three houses in three years. When she’s not editing magazines, she’s running around after her two boys and their partner in crime, Pete the pug.
