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Machine learning gives a boost to NCSU's longer-range hurricane forecast model

by Tracey Peake April 30, 2021 .
RALEIGH – Every spring, researchers publish their projected forecasts of the upcoming hurricane season – how many storms may form, and how severe they may be. But what if you could create these forecasts up to a year and a half in advance? A new model from North Carolina State University incorporates machine learning to create long-range hurricane forecasts with similar accuracy to those currently in use.
Most preseason hurricane predictions are made using statistical models that utilize optimized data from sea level pressure, sea surface temperatures and other historical climatic data. However, these predictions are made from time series data – meaning that they use climatic readings from one location or averaged over a particular area and time period. ....

Tanmay Asthana , Hamid Krim , Xia Sun , Siddharth Roheda , National Science Foundation Center , Carolina State University , North Carolina State University , Lian Xie , National Science Foundation , Accelerated Real Time , ஹமிட் கிரிம் , கிஷிய சூரியன் , தேசிய அறிவியல் அடித்தளம் மையம் , கரோலினா நிலை பல்கலைக்கழகம் , வடக்கு கரோலினா நிலை பல்கலைக்கழகம் , லியன் க்ஷிஎ , தேசிய அறிவியல் அடித்தளம் ,

Model Could Create Hurricane Forecasts up to 18 Months in Advance

Date Time
Model Could Create Hurricane Forecasts up to 18 Months in Advance
Every spring, researchers publish their projected forecasts of the upcoming hurricane season – how many storms may form, and how severe they may be. But what if you could create these forecasts up to a year and a half in advance? A new model from North Carolina State University incorporates machine learning to create long-range hurricane forecasts with similar accuracy to those currently in use.
Most preseason hurricane predictions are made using statistical models that utilize optimized data from sea level pressure, sea surface temperatures and other historical climatic data. However, these predictions are made from time series data – meaning that they use climatic readings from one location or averaged over a particular area and time period. ....

Tanmay Asthana , Hamid Krim , Xia Sun , Siddharth Roheda , National Science Foundation Center , Carolina State University , North Carolina State University , Lian Xie , National Science Foundation , Accelerated Real Time , ஹமிட் கிரிம் , கிஷிய சூரியன் , தேசிய அறிவியல் அடித்தளம் மையம் , கரோலினா நிலை பல்கலைக்கழகம் , வடக்கு கரோலினா நிலை பல்கலைக்கழகம் , லியன் க்ஷிஎ , தேசிய அறிவியல் அடித்தளம் ,