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pro vyhledávání: '"Tao, Lian"'
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 5, Pp n/a-n/a (2024)
Abstract We propose a unified statistical method based on deep learning and heatmap analysis to quantify the relative contributions of the global oceans to El Niño–Southern Oscillation (ENSO) predictability. By incorporating subsurface signals in
Externí odkaz:
https://doaj.org/article/523108d184e3406ea731d6842ef1ba14