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Scientists use AI to predict flooding in the Gulf of Mexico

Scientists use AI to predict flooding in the Gulf of Mexico

A team of U.S. scientists will develop an artificial intelligence system to predict coastal flooding in the Gulf of Mexico.

As part of the MuSiKAL project, researchers will combine the U.S. Department of Energy's large-scale Earth model with a multiphysics coastal circulation model. They say this will create a highly accurate digital twin that supports AI with reduced latency in flood forecasting and consequence assessment.

The scientists also plan to develop a methodology for continuous AI-based data collection from satellites and observation sites.

According to Louisiana State University professor Hartmut Kaiser, the Gulf of Mexico is ideal for coastal protection research. These areas are home to more than half of the U.S. population and produce about 58 percent of the nation's gross domestic product, he added.

"The Gulf Coast along Texas, Louisiana and Mississippi is home to both important U.S. energy hubs and socially vulnerable populations," Kaiser said.

The proposed effort would minimize flood damage and improve socioeconomic stability in the region, the scientist said.

MuSiKAL is one of three projects funded by the U.S. Department of Energy's Office of Advanced Computational Science Research. Each will receive $15.1 million from the agency over three years.

Recall that in May 2021, U.S. scientists developed an artificial intelligence system for predicting hail, tornadoes and high winds during a storm.

In September, the British laboratory DeepMind presented a deep learning tool DGMR, which predicts the probability of rain in the next 90 minutes.

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