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1 Ergebnisse
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Predictability of sea surface temperature anomalies at the ..:
Ming Feng
;
Fabio Boschetti
;
Fenghua Ling
...
https://www.frontiersin.org/articles/10.3389/fclim.2022.925068/full. , 2022
Link:
https://doi.org/10.3389/fclim.2022.925068
RT Journal T1 <Title>Predictability of sea surface temperature anomalies at the eastern pole of the Indian Ocean Dipole—using a convolutional neural network model</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:e5d02d169a2b49fab44c3331c842c145&Exemplar=1&LAN=DE A1 Ming Feng A1 Fabio Boschetti A1 Fenghua Ling A1 Xuebin Zhang A1 Jason R. Hartog A1 Mahmood Akhtar A1 Li Shi A1 Brint Gardner A1 Jing-Jia Luo A1 Alistair J. Hobday PB Frontiers Media S.A. YR 2022 K1 sea surface temperature (SST) K1 eastern Indian Ocean K1 prediction model K1 machine learning (ML) K1 convolutional neural network K1 Indian Ocean Dipole (IOD) K1 Environmental sciences K1 GE1-350 JF https://www.frontiersin.org/articles/10.3389/fclim.2022.925068/full LK http://dx.doi.org/https://doi.org/10.3389/fclim.2022.925068 DO https://doi.org/10.3389/fclim.2022.925068 SF ELIB - SuUB Bremen
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