The Feasibility of Predicting Nino 3.4 Index Using a Sparse Approximation Algorithm

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ADS bibcode
2015AGUFMIN51B1807P
year
2015
Listed Authors
Peng, X.
Li, T.
Gu, Y.
Zhang, A.
Listed Institutions
State Key Laboratory of Hydroscience and Hydraulic Engineering, Tsinghua University, Beijing, China
State Key Laboratory of Hydroscience and Hydraulic Engineering, Tsinghua University, Beijing, China
Department of Electronic Engineering, Tsinghua University, Beijing, China
Department of Electronic Engineering, Tsinghua University, Beijing, China

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