National Centre for Atmospheric Science (NCAS) Researchers Release New Study Fin dings on Machine Learning (A Machine Learning-Based Approach to Quantify ENSO So urces of Predictability)

Robotics & Machine Learning Daily News2024，Issue(Jul.18) ：41-42.

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National Centre for Atmospheric Science (NCAS) Researchers Release New Study Fin dings on Machine Learning (A Machine Learning-Based Approach to Quantify ENSO So urces of Predictability)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news reportingoriginating from the National Cen tre for Atmospheric Science (NCAS) by NewsRx correspondents, researchstated, “A machine learning method is used to identify sources of long-term ENSO predictab ility in the ocean (sea surface temperature (SST) and heat content) and the atmo sphere (near-surface zonal wind(U10)).”

Key words

National Centre for Atmospheric Science (NCAS)/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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