Empirical Mode Decomposition in 2-D space and time: a tool for space-time rainfall analysis and nowcasting

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Empirical Mode Decomposition in 2-D space and time: a tool for space-time rainfall analysis and nowcasting

A data-driven method for extracting temporally persistent information, at different spatial scales, from rainfall data (as measured by radar/satellite) is described, which extends the Empirical Mode Decomposition (EMD) algorithm into two dimensions. The EMD technique is used here to decompose spatial rainfall data into a sequence of high through to low frequency components. This process is equi...

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Empirical mode decomposition in 2-D space and time

Empirical Mode Decomposition in 2-D space and time: a tool for space-time rainfall analysis and nowcasting S. Sinclair and G. G. S. Pegram Civil Engineering, University of KwaZulu-Natal, Durban, South Africa Received: 23 December 2004 – Accepted: 9 February 2005 – Published: 10 February 2005 Correspondence to: S. Sinclair ([email protected]) © 2005 Author(s). This work is licensed under a Cr...

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ژورنال

عنوان ژورنال: Hydrology and Earth System Sciences

سال: 2005

ISSN: 1607-7938

DOI: 10.5194/hess-9-127-2005