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Non-negative Decomposition of Geophysical Dynamics


The decomposition of geophysical processes into relevant modes is a key issue for characterization, forecasting and reconstruction problems in environmental sciences. Moreover, the blind separation of contributions associated with different sources is a classical problem in signal and image processing. Recently, significant advances have been reported with the introduction of non-negative and sparse formulations. In this work, we address the blind decomposition of linear operators or transfer functions between variables of interest, with an emphasis on a non-negative setting. We illustrate the relevance of these decompositions for the analysis, prediction and reconstruction of geophysical dynamics.
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hal-01739801 , version 1 (21-03-2018)


  • HAL Id : hal-01739801 , version 1


Manuel Lopez Radcenco, Ronan Fablet, Abdeldjalil Aissa El Bey, Pierre Ailliot. Non-negative Decomposition of Geophysical Dynamics. GODAE OceanView International School 2017, Oct 2017, Palma, Spain. ⟨hal-01739801⟩
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