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Data assimilation method offers improved hurricane forecasting

A new approach developed at Penn State's Center for Advanced Data Assimilation and Predictability Techniques can accurately forecast the intensity and trajectory of Hurricane Harvey. The method uses data from the GOES-16 satellite and Penn State's all-sky radiance technique, which more accurately models hurricanes.

SourcePenn State·JournalBulletin of the American Meteorological Society·DateAug 15, 2019

Landslides triggered by Hurricane Maria

A new study published in GSA Today reveals that Hurricane Maria triggered more than 40,000 landslides in at least three-fourths of Puerto Rico's municipalities. The study assesses the factors contributing to these extreme events and aims to enhance landslide susceptibility analyses and risk management efforts.

SourceGeological Society of America·JournalGSA Today·DateFeb 7, 2019

Wind farms and reducing hurricane precipitation

A recent study published in Environmental Research Letters found that large-scale offshore wind farms can decrease hurricane precipitation onshore locations, while increasing it in offshore areas. The research used Hurricane Harvey as an example, showing a 30% reduction in precipitation inland due to the presence of wind farms.

SourceUniversity of Delaware·JournalEnvironmental Research Letters·DateOct 17, 2018