Tag: Jun Zhang

Ocean Conditions Played a Major Role in the Intensification of Hurricane Michael (2018)

In a recent study published in AGU’s Journal of Geophysical Research – Oceans, scientists at AOML identified key ocean features that supported the rapid intensification of Hurricane Michael (2018), despite unfavorable atmospheric conditions for development. The study demonstrates the importance of using realistic ocean conditions for coupled (ocean-atmosphere) hurricane models in order to achieve the most accurate hurricane intensity forecasts.

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Ocean Drones Brave Hurricanes to Make Coastal Communities Safer

Saildrone is announcing a new mission to deploy five uncrewed surface vehicles (USVs) from the US Virgin Islands in August to gather key data throughout the 2021 Tropical Atlantic hurricane season. The USVs will be equipped with specially designed “hurricane wings” to enable them to operate in extreme conditions. Saildrones are the only USVs capable of collecting this data and are designed to withstand winds over 70 mph and waves over 10 feet, which occur during a hurricane weather system. The five saildrones will sail into the paths of hurricanes to provide valuable real-time observations for numerical hurricane prediction models and to collect new insights into how these large and destructive weather cells grow and intensify.

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New Study Looks at How Different Techniques to Model the Hurricane Boundary Layer Can Improve Forecasts

In a new study published in Atmosphere, hurricane scientists looked at how turbulent mixing in the boundary layer affects the intensity and structure of hurricanes in NOAA’s Hurricane Weather Research and Forecasting (HWRF) model. They found that turbulent mixing affects where thunderstorms in hurricanes occur, and how fast air flows towards the center of a storm.

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