2020
DOI: 10.5194/gmd-2020-152-rc2
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Abstract: The authors develop and apply neural network techniques to identify the phase, associated spatial structure and seasonality of the Madden-Julian Oscillation from a set of fundamental physical quantities (temperature, geopotential height, moisture and C1