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Using AI to advance oceanography (view source)
Revision as of 11:10, 22 December 2021
, 11:10, 22 December 2021no edit summary
== The Solution ==
== The Solution ==
Data-driven analysis approaches are better suited for such type of analysis. AI has the ability to sift through the data piles of ocean data to find the complex relation between the ocean observations.
Data-driven analysis approaches are better suited for such type of analysis. AI has the ability to sift through the data piles of ocean data to find the complex relation between the ocean observations.
[[File:Ocean Profile Classification Model.png|alt=Data-driven approach for analyzing ocean data|thumb|478x478px|<small>'''Profile classification model: a data-driven approach for analyzing ocean data'''</small> <ref>Guillaume Maze et al, Coherent heat patterns revealed by unsupervised classification of Argo temperature profiles in the North Atlantic Ocean, Progress in Oceanography, Volume 151, 2017, Pages 275-292.</ref>]]
[[File:Ocean Profile Classification Model.png|alt=Data-driven approach for analyzing ocean data|thumb|478x478px|<small>'''Profile classification model: a data-driven approach for analyzing ocean data'''</small> <ref>Guillaume Maze et al, Coherent heat patterns revealed by unsupervised classification of Argo temperature profiles in the North Atlantic Ocean, Progress in Oceanography, Volume 151, 2017, Pages 275-292.</ref>]]
