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Time Series Reconstruction via Machine Learning: Revealing Decadal Variability and Intermittency in the North Pacific Sector of a Coupled Climate Model
Dimitris Giannakis , NASA Ames Video and Graphics Branch
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Oznake: computer science;data mining;time series analysis
Many processes in atmosphere-ocean science develop multiscale temporal and spatial patterns, with complex underlying dynamics and time-dependent external forcings. Because of the possible advances in our understanding and prediction of climate phenomena, extracting that variability empirically from ...
Leto: 2011 Vir: videolectures.net
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