Powerful Prediction: Finding a better way to forecast hurricane strength

As Hurricane Irma approaches U.S. shores, researchers sponsored by the Office of Naval Research (ONR) are using air-dropped autonomous sensors to compile real-time ocean observations to help forecasters predict the strength of future tropical storms. This marks the first time the sensors – called ALAMO (Air-Launched Autonomous Micro Observer) sensors – are being used in hurricane-prediction research. While standard computerized prediction models rely on atmospheric data like air temperature, humidity, altitude, and wind speed and direction, the ALAMO sensors (sponsored by ONR) measure oceanographic phenomena beneath the sea surface. “Hurricanes…

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