Saildrone Inc. and the National Oceanic and Atmospheric Administration (NOAA) have released the first video footage gathered by an Unmanned Surface Vehicle (USV) from inside a major hurricane across the Atlantic Ocean.
The Saildrone Explorer SD 1045 was directed into the midst of Hurricane Sam, battling 50-foot waves and winds of over 120 mph to collect critical scientific data. Equipped with a specially designed ‘hurricane wing’ enabling it to operate in extreme wind conditions, SD 1045 is collecting real-time observations for numerical hurricane prediction models, which are expected to yield new insights into how large and destructive tropical cyclones grow and intensify.
SD 1045 is one of a fleet of five ‘hurricane’ saildrones that have been operating in the Atlantic Ocean during this hurricane season, gathering data to help understand the physical processes of hurricanes. This knowledge is critical to improving storm forecasting and is expected to reduce loss of human life through allowing better preparedness in coastal communities.
“Saildrone is going where no research vessel has ever ventured, sailing right into the eye of the hurricane, gathering data that will transform our understanding of these powerful storms,” said Richard Jenkins, Saildrone founder and CEO.
“After conquering the Arctic and the Southern Ocean, hurricanes were the last frontier for Saildrone survivability. We are proud to have engineered a vehicle capable of operating in the most extreme weather conditions on earth.”
The saildrones provide data directly to NOAA’s Pacific Marine Environmental Laboratory (PMEL) and Atlantic Oceanographic and Meteorological Laboratory (AOML), Saildrone’s partners in this mission.
“Using data collected by saildrones, we expect to improve forecast models that predict rapid intensification of hurricanes,” said Greg Foltz, a NOAA scientist.
“Rapid intensification, when hurricane winds strengthen in a matter of hours, is a serious threat to coastal communities. New data from saildrones and other uncrewed systems that NOAA is using will help us better predict the forces that drive hurricanes and be able to warn communities earlier.”