Indian Ocean Dipole (IOD) forecasts based on convolutional neural network with sea level pressure pr...
Indian Ocean Dipole (IOD) forecasts based on convolutional neural network with sea level pressure precursor
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Publisher
Bristol: IOP Publishing
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English
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Bristol: IOP Publishing
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Scope and Contents
Contents
Forecasting the Indian Ocean Dipole (IOD) is crucial because of its significant impact on regional and global climates. While traditional dynamic and empirical models suffer from systematic errors due to nonlinear processes, convolutional neural networks (CNN) are nonlinear in nature and have demonstrated remarkable El Niño Southern Oscillation (EN...
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Full title
Indian Ocean Dipole (IOD) forecasts based on convolutional neural network with sea level pressure precursor
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TN_cdi_iop_journals_10_1088_1748_9326_ad7522
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_iop_journals_10_1088_1748_9326_ad7522
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ISSN
1748-9326
E-ISSN
1748-9326
DOI
10.1088/1748-9326/ad7522
