Machine Learning Model Predicts Cooling Effects of Tropical Cyclones on Ocean Temperatures

Machine learning model predicts cooling of sea surface temperatures during tropical cyclones.
Model trained on historical data like storm intensity and ocean conditions.
Stronger, slower, larger storms cause greater cooling in shallower waters.
Cooling peaks the day after storm passes, expands over area.
Model results match real data, can help predict cyclone impacts on ocean ecosystems.

phys.org

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Posted 9/26/2023, 11:40:01 AM

Machine Learning Model Predicts Cooling Effects of Tropical Cyclones on Ocean Temperatures

Machine learning model predicts cooling of sea surface temperatures during tropical cyclones.
Model trained on historical data like storm intensity and ocean conditions.
Stronger, slower, larger storms cause greater cooling in shallower waters.
Cooling peaks the day after storm passes, expands over area.
Model results match real data, can help predict cyclone impacts on ocean ecosystems.

phys.org

Relevant topic timeline:

9/8/2023

Study: Lower-Resolution Climate Models With AI May Be Best for Local Planning

9/21/2023

AI Weather Forecasting Shows Promise for More Accurate Predictions

9/28/2023

Machine Learning Models Show Promise for Improving Earthquake Forecasting

10/6/2023

AI's Complex Role in Climate Change: Promise for Sustainability Alongside Concerns Over Fossil Fuel Extraction

10/16/2023

As Arctic Ice Vanishes, Scientists Turn to AI to Improve Melting Forecasts

Artificial intelligence (AI) and machine learning could revolutionize sea ice forecasting by improving accuracy and incorporating traditional Indigenous knowledge.

10/16/2023

AI and Machine Learning Emerging as New Tools to Forecast Melting Arctic Sea Ice