Articles on Weather forecasting

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Hurricane Irma rapidly intensified before hitting the Caribbean and Florida in 2017, but intensity is still hard to forecast. NASA

Why AI has trouble predicting the fury of hurricane intensity

Storms like 2026’s Hurricane Polo that rapidly intensify can catch communities off guard and leave little time to prepare or evacuate. Being able to forecast those risks can save lives.
Hurricane Sandy hit New York and its suburbs in 2012 as shown by imagery from Nasa’s GOES-13. Robert Simmon with data courtesy of NASA/NOAA GOES Project Science team

Can AI help coastal cities prepare for rising seas and extreme events?

Extreme storm surges can be predicted much faster with high accuracy thanks to a new AI model that helps researchers and practitioners improve coastal flood risk assessment and adaptation planning.
Cars are partially submerged in flood waters in the Don Valley following heavy rain in Toronto on July 16, 2024. THE CANADIAN PRESS/Arlyn McAdorey

It’s challenging to predict extreme thunderstorms — improving this will help reduce their deadly and costly impacts

Current models for weather forecasting tend to ignore outlier data; learning how to incorporate these can help reduce risk and increase community resiliency.
A forecaster monitors incoming data for Hurricane Irma in 2017 at the National Hurricane Center, part of the NOAA. Matt McClain/The Washington Post via Getty Images

NOAA’s vast public weather data powers the local forecasts on your phone and TV – a private company alone couldn’t match it

NOAA operates fleets of satellites, sensors on airplanes and ocean-going buoys, as well as radar, providing the data used by weather forecasters nationwide – and freely available to anyone.

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